At Barron’s: The Cost of Living and the Cost of Money

(I write a monthlyish opinion piece for Barron’s. This one was published there in September. My previous pieces are here.)

A lingering puzzle about inflation is why the public still seems so unhappy about it, even though it has, by conventional measures, returned to normal. 

One explanation is that people are simply confused, or misled by the media. But another possibility is that what people think of as the cost of living doesn’t match up with the way that economists measure inflation. Maybe people aren’t wrong or confused, they are just paying attention to something different.

Inflation means a rise in the cost of goods and services. But not all your bills are for goods and services. Things like interest payments are also costs. And last fall’s election followed three years of steeply rising interest rates. The average mortgage rate, for example, was over 7%, compared with less than 3% in 2021

That is the explanation for the mismatch between official statistics and public perceptions offered in a fascinating recent paper by former Treasury Secretary Lawrence Summers and several co-authors, titled “The Cost of Money is Part of the Cost of Living.” In one especially dramatic finding, they suggest that if we take interest into account, year-over-year inflation peaked to 18% in 2022, rather than the official 9%, and was still 8% at the end of 2023, when the official rate was 3.3%. 

I think the paper overstates its case. But it is still pointing to something real.

Conventional measures of inflation are supposed to reflect the prices of currently produced goods and services, but not asset purchases or financial transactions. But it isn’t always easy to know which payments are which. As a homeowner, you are buying both a place to live for the month, and an asset. In principle, the first should be counted in inflation, the second should not. But your single mortgage check includes both.

Today, the Bureau of Labor Statistics, which produces the country’s main inflation indicator, deals with this problem by imputing “owners equivalent rent.” In effect, we ask how much a homeowner would pay for their home, if they were renting it.

Before 1983, the BLS did things differently. Instead, it counted the full cost of home purchases, but only for houses bought in that period. Today’s measure estimates one month’s rent for all owner-occupied homes; the older method looks at the total cost of those homes purchased this month. Since houses are normally paid for with mortgages, that meant including interest payments that would be paid over many future years as part of this month’s price level. (To be exact, the BLS included future interest payments over half the length of the mortgage.)

Houses are a big part of consumption, so this difference isn’t a small detail. Summers and co-authors are absolutely right that when we compare inflation today to inflation in the 1970s, we aren’t comparing apples to apples. “Inflation” then meant something different than it does today. 

An earlier paper by three of the same economists looked at historic inflation using the modern definition. They concluded that, when we measure consistently, the late-1970s inflation was no higher than the inflation during the pandemic. 

The new article takes the opposite approach, and applies the pre-1983 definition to the recent inflation. This is a bit odd, given the strong and convincing criticism of the old methodology in the earlier article. Nonetheless, the results are striking. If people were experiencing inflation at double the official rate, no wonder they were upset!

In my opinion, the authors had it right the first time. There are good reasons the BLS abandoned its old approach. By including future interest payments on homes purchased in the current month, the old methodology greatly exaggerates the impact of interest rate changes. You can reasonably say that the mortgage payments you will make a decade from now are part of the price of your house, but they are not in any meaningful sense part of your cost of living today. 

That said, it does make sense that interest payments contribute to people’s experience of price increases. But how much? As a back of the envelope guess, we can observe that household interest payments grew from an annualized $600 billion in the last quarter of 2020 to over $1 trillion by the end of 2023. Those payments grew twice as fast as nominal consumer spending. If we add these interest payments to the cost of the consumption basket, then we find that the 2021-2022 increase in inflation was as much as two points greater, and inflation in 2024 remained about half a point higher than by conventional measures.

It seems to me that if you take seriously the idea that financing is part of the cost of goods and services, you can plausibly conclude that people were experiencing an inflation rate of 3% to 3.5% last fall, rather than the 2.5% to 3% percent reported by the BLS. That isn’t trivial. But I’m not sure it’s the sort of difference that elections turn on.

Still, Summers and his co-authors are pointing to something real and important. The cost of money is part of the cost of living. When the Federal Reserve aggressively raised rates over 2022-2023, it may – or may not! – have helped bring down inflation. But it definitely made it harder for families, and businesses, to service their debts. Monetary policymakers would do well to keep that second impact in mind in the future, along with the first. 

Democratizing Finance

(This is the text of a talk I gave for a workshop organized by the International Network for Democratic Economic Planning. The video of the conference is here.)

The starting point for this conversation, it seems to me, is that planning is everywhere in the economy we already live in.

There’s a widespread idea that production today is largely or entirely coordinated by markets. This idea  is ubiquitous in economics textbooks, of course; it also forms a major part of unspoken economic common sense, even for many socialists and others on the left politically. But it seems to me that when you look at things more critically, the role of market coordination in the economies that we live in is in fact rather limited.

Within the enterprise, markets are almost nonexistent. Production is organized through various forms of hierarchy and command, as well as through intrinsic motivation — what David Graeber calls everyday communism or what we might call the professional conscience — the desire to do one’s job well for its own sake.

The formation, growth and extinction of enterprises, meanwhile, is organized through finance. People sometimes talk about firms growing and dying through some kind of Darwinian process, but the function of finance is precisely to prevent that. By redistributing surplus between firms, finance breaks the link between the profits a firm earned yesterday and the funds available for it to invest today.

The whole elaborate structure of banks, stock markets, venture capital and so on exists precisely to make funds available for new firms, or firms that have not yet been profitable. We see this very clearly in Silicon Valley, as in the current boom in “AI” investment — this is as far as you can get from a world where growth is the result of past profits.

On the other side, institutions like private equity, and the market for corporate control, ensure that that the surplus generated in one firm need  not be reinvested there. It can be extracted — consensually or otherwise — and used somewhere else.

In both cases, this is not happening through any kind of automatic market logic, but through someone’s conscious choice.

Once we think of finance as a system of planning , it is natural to ask if it can be redirected to meet social needs, such as addressing climate change. I want to make four suggestions about how we can pursue this idea most effectively.

First. We need to think about where financing constraints matter, and where they don’t.

Many firms do fund investment largely from their own profits; in others, investment spending is modest relative to current costs. In both these cases — where investment is internally financed, and where investment requirements are low relative to costs of production — finance will have limited effects on real activity.

Where finance is most powerful is in new or rapidly growing, capital-intensive sectors, especially where firms are relatively small. Green energy is an important example — for wind or solar power, almost all the costs are upfront. Housing is also an area where finance is clearly important – while this is of course, a very old sector, firms are relatively small, capital costs are large, assets are very long-lived, and there is a significant lag between outlays and income. It is clear that booms and busts in housing construction have a great deal to do with credit conditions.

Labor intensive sectors like care work, on the other hand, are poor targets for credit policy, since costs and revenues occur more or less simultaneously, and capital needs are minimal. Subsidies or other “real” interventions are needed here.

Large, established firms are also likely to be fairly insensitive to credit policy. There’s a great deal of evidence that the internal discount rates corporations use to evaluate investment projects are not tightly linked to interest rates. At best, financing may relax an external constraint where decision makers already operate with long horizons. But what we know about corporate investment decisions suggests that they are not much affected by credit conditions — something that thoughtful central bankers have long understood.

Second. Channeling credit to constrained areas will have a bigger impact than penalizing credit to unwanted areas.

This seems like an important limitation on the types of green policies adopted by the ECB, for example. For firms that issue bonds, the interest rate they face is not likely to be a major factor in their investment decisions. Where credit matters most is for smaller, bank-dependent firms and households, which face hard limits on how much they can borrow.

This is even more the case for the stock market. Firms for which stock issuance is a significant form of financing make up a very, very small group. In general, changes in stock ownership will have no effect on real investment at all.

Related to this is the question of rules vs discretion. It is relatively easy to write rules for what not to invest in. Targeting finance-constrained sectors requires more strategic choices. So this is an instrument that is state-capacity intensive. In a setting of limited capacity, credit policy is unlikely to work well.

Similarly, if we want to see across-the-board changes, as opposed to fostering new growth in particular areas,  credit is not the right tool. In that case it is better to directly regulate the outcomes we are interested in. If you want higher wages, write a minimum wage law. Don’t tell your central bank to penalize holdings of shares in low-wage firms.

Third. We need to think carefully about what parts of finance we want to socialize, and where new institutions are needed and where they aren’t.

Various financial institutions offer funding to real activity (directly or indirectly) on their asset side, while issuing liabilities that some particular group of wealth owners wants to hold. In the case of many institutions — banks, insurance companies, pension funds — their social value comes as much or more from the distinctive liabilities they issue, as from the activities that they finance.

It’s natural to imagine public finance in similar terms, and think of a public investment authority, say, issuing distinctive liabilities that are somehow connected to the activities that it finances. I think we need to tread very cautiously here. The connections between the two sides of private balance sheets are largely irrelevant for the public sector.

The public sector already finances itself on the most favorable terms of any entity in the economy. The private sector’s need for retirement security and other forms of insurance can be addressed by the public sector directly. Public provision of new assets for retirement saving would be a step backward from current systems of public provision.

There is a case for a larger public role in the payments system, and in the direct provision of banking services to those who currently lack access to them. But there is no reason to link this service provision to public credit provision, and a number of good reasons not to.

The stronger arguments for socializing finance, it seems to me, lie on the asset side of the public-sector balance sheet. We don’t need to find new ways of financing things the public already does. We do need to bring public criteria into the financing of private activity.

It’s worth emphasizing that what matters is what gets financed, and on what terms. Who owns the assets has no importance in itself. Setting up a sovereign wealth fund does nothing to socialize investment, if the fund is operated on the same principles as a private fund would be.

I observed this first-hand some years ago, when I worked in the AFL-CIO’s Office of Investment. The idea was to use the substantial assets of union-affiliated pension funds to support labor in conflicts with employers. But in practice, the funds were so constrained both by legal restrictions and by the culture of professional asset management that it was effectively impossible to depart from the conventional framework of maximizing shareholder value.

Fourth. We need to link proposals for socializing finance to a critique of conventional monetary policy. We need to challenge the sharp lines between planning, prudential regulation, and monetary policy proper. In reality, every action taken by the central bank channels credit towards some activities, and away from others.

One important lesson of the past 15 years is the limits of conventional monetary policy as a tool for stabilizing aggregate demand. But central banks do have immense power over the prices of various financial assets, and monetary policy actions have outsized effects on credit-sensitive sectors of the economy. A program of using credit policy for what it can do — fostering the growth of particular new sectors and activities — goes hand in hand with not using credit policy for what it cannot do — stabilizing inflation and employment. In this sense, socializing finance and developing alternative tools for demand management are complementary programs. Or perhaps, they are the same program.

It’s worth noting that Keynes was very skeptical of the sort of fiscal policy that has come to be associated with his name. He did not believe in running large fiscal deficits, or boosting demand via payments to individuals. For him, stabilizing demand meant stabilizing investment spending. And this meant, above all, reorienting it way from future profitability, which is inherently unknowable, and beliefs about which are therefore ungrounded.

This is a key element in the Keynesian vision that is often overlooked: Our inability to know the future matters less when we are focused on providing concrete social goods. It may be very hard, even impossible, to know how much the apartments in a given building will rent for in thirty years, depending as it does on factors like the desirability of the neighborhood, how much housing is built elsewhere, and the overall state of the economy. But how long the building will stand up for, and how many people it can comfortably house, are questions we can answer with reasonable confidence.

Wouldn’t it be simpler, then, to stabilize private demand in the first place, rather than try to offset its fluctuations with changes in the interest rate or public budget position? From this point of view, our current apparatus of monetary policy would be rendered unnecessary by a program of reorienting investment to meet real human needs.

UPDATE: I have added a link to the video of the conference.

At The International Economy: Low Interest Rates Were OK

(I am an occasional contributor to roundtables of economists in the magazine The International Economy. This month’s roundtable was on concerns that ultra-low interest rates after the 2007-2009 financial crisis contributed to rising inequality and asset bubbles, and asked contributors to grade post-2007 monetary policy on a scale of A to F.)

Overall, I give the negative interest rate experiment a grade of B. The costs of negative rates have been greatly exaggerated. But so have the benefits. The main lesson is that conventional monetary policy is surprisingly weak in a depressed economy, even when carried to extremes. The next time we need stimulus, greater weight should be put on fiscal policy.

The case against ultra-low rates on distribution grounds is not very strong, in my view. Yes, low rates do tend to raise asset values,  and it’s the rich who own most of the assets. But we should not make the mistake so many people do, and confuse a change in the present value of future income streams with a change in those streams themselves. Low rates, for example, imply a greater present value of the same future dividend payments, and thus higher stock prices. But that has no effect on income distribution — the owners of the stock are receiving the same payments as they were before.

The bigger criticism of ultra-low rates is that they didn’t have much effect one way or another. Did 20 years of zero nominal rates in Japan significantly boost demand and growth? It doesn’t seem like it.

At the same time, we should be careful of language like “distortion,” which suggests that there is some true, natural level of interest rates and investment. Whether high or low, interest rates are always set by policy. And this always involves tradeoffs between competing social goals.

Whether ultra-low rates contribute to bubbles is debatable. Many of the world’s great bubbles — from the 1920s in the US to the 1990s in Sweden — have occurred in environments of high interest rates. But let’s say for the sake of argument that cryptocurrency is socially useless, and that it would never have taken off if rates were higher. Is this a problem with negative rates? Or is it a problem with the financial system? The reason we have so many well-educated, well-compensated people working in finance is that they are supposed to direct credit to the best opportunities. If cheap money leads them to invest in projects that are worthless, or worse, rather than ones with moderate returns, they’re not doing their jobs.

If jet fuel were free, we would all probably fly more. But if planes kept crashing into the ocean, we’d blame the airlines, not the cheap fuel.

Speaking of airlines, it’s easy in retrospect to see the subsidized loans to them and other pandemic-hit industries as excessive. But we don’t know what the counterfactual is — it’s possible that without public support, they would have collapsed into bankruptcy, leading to a much slower recovery. Certainly we couldn’t be sure at the time. Under the extraordinary circumstances of the pandemic, there was no safe course, only a balance of risks. The high inflation of 2021-2022 was unfortunate; a prolonged depression would have been much worse. Perhaps next time — and climate change ensures that there will be a next time — we will strike a better balance. But it seems to me that under the circumstances, policymakers did pretty well.

*

That’s what I wrote for the symposium. Let me add a couple of things here.

First, this is not a new debate. Many of the same arguments were being made immediately after the global financial crisis, and even before it in the mid-2000s, in the context of the supposed global savings glut. At that time, the idea was that the volume of excess savings in Asia were too great to be absorbed by productive investment in the US and elsewhere, leading to downward pressure on interest rates and an excess of speculative investment, in housing especially.

It’s progress, I suppose, that the more recent period of low interest rates is attributed straightforwardly to central banks, as opposed to an imagined excess of “saving.” (For a critique of the savings-glut story, you can’t do better than Jörg Bibow’s excellent work.) But the more fundamental problem remains that the savings-glut/too-low-for-too-long stories never explain how they coexist with all the other economic stories in which more abundant financing is unambigously a good thing. As I wrote a dozen years ago1:

the savings glut hypothesis fails to answer two central, related questions: Why was there a lack of productive investments available to be financed, and why did the financial system fail to channel the inflow of savings in a sustainable way? From a Keynesian perspective, there is nothing strange about the idea of a world where savings rates are chronically too high, so that output is demand-constrained; but this is not the perspective from which the savings-glut hypothesisers are arguing. In other contexts, they take it for granted that an increase in the savings rate will result in greater investment and faster growth.

In particular, as I pointed out there, many of the same people arguing for these stories also think that it is very desirable to reduce government budget deficits. But if you ask any economist what is the economic benefit of moving the government balance toward surplus, their answer will be that it frees up saving for the private sector; that is, lower interest rates.2

Second. Returning to the International Economy roundtable, it’s striking how many of the contributors shared my basic analysis3 —  ultra-low rates didn’t achieve very much, but they were better than nothing given the failure of the budget authorities to undertake adequate stimulus. It’s interesting is that people with this same analysis — and who also reject the idea that the low rates of the 2010s are to blame for the inflation of the early 2020s — give such different responses on the grading component. I agree with everything that Jamie Galbraith writes, and especially appreciate his points that hardly any private borrowers ever faced zero (let alone negative) rates, and that higher rates do not seem to have done much to curb speculative excess. (Just look at “AI”.) I also agree with everything Heiner Flassbeck says (especially the underappreciated point that we’ve also had a decisive test of the benefits of wage flexibility, with negative results) and with almost everything Brigitte Granville says. Yet two of us give As and Bs, and two give Ds and Fs. It’s the difference between comparing monetary policy’s actual performance to what it reasonably could have accomplished, and to what it promised, perhaps.

Finally. It might seem strange to see me speaking so positively about macroeconomic policy over the past decade. Aren’t I supposed to be a radical of some sort?4 It was even a bit disconcerting to me to see I typed those words a few months ago (there’s a bit of turnaround time with these things), given that my main feelings about Western governments these days tend toward rage and disgust.

But the point here is important. It’s important to remember that the central macroeconomic problem in recent years has been insufficient demand.5 It’s important to remind people of the overwhelming evidence, and the quite broad consensus, that the economic problem over the past 15 years has not been a lack of real resources, but a lack of spending — of demand. (A world in which over-low interest rates could even be a concern, is not a world where the central economic problem is scarcity.) And I think that it’s true, and important, that the institutions — at least in the US and Western Europe — that were consistently trying to address this problem, were the central banks.

Even today, while we can certainly argue that central banks raised rates too aggressively, the main contractionary pressure is coming from elected governments. This is most obvious in Europe, but in the US, it seems to me, the withdrawal of pandemic unemployment benefits and the child tax credit have done more harm than anything the Fed has done. There’s an old idea that elected governments are structurally biased toward deficits and generous social benefits.6 But it’s clear this is no longer true, if it ever was.

Against this background, I think both the broader recognition of hysteresis and chronic demand shortfalls in the 2010s, and the aggressive response to the pandemic in this decade, are positive lessons that need to be preserved and defended and built upon. It’s very challenging to separate this positive record on domestic economic policy from the increasingly horrifying treatment of the rest of the world that we have seen from the same governments. (I make this argument in the context of industrial policy in a forthcoming piece in Dissent.) But I think it’s vitally important, both politically and analytically, that we continue to try to do so.

 

Taking Money Seriously

(Text of a talk I delivered at the Watson Institute for International and Public Affairs at Brown University on June 17, 2024.)

There is an odd dual quality to the world around us.

Consider a building. It has one, two or many stories; it’s made of wood, brick or steel; heated with oil or gas; with doors, windows and so on. If you could disassemble the building you could make a precise quantitative description of it — so many bricks, so much length of wire and pipe, so many tiles and panes of glass.

A building also has a second set of characteristics, that are not visible to the senses. Every building has an owner, who has more or less exclusive rights to the use of it. It has a price, reflected in some past or prospective sale and recorded on a balance sheet. It generates a stream of money payments. To the owner from tenants to whom the owner delegated som of their rights. From the owner to mortgage lenders and tax authorities, and to the people whose labor keeps them operating — or to the businesses that command that labor. Like the bricks in the building’s walls or the water flowing through its pipes, these can be expressed as numbers. But unlike those physical quantities, all of these can be expressed in the same way, as dollars or other units of currency.

What is the relationship between these two sets of characteristics? Do the prices and payments simply describe the or reflect the physical qualities? Or do they have their own independent existence? 

My starting point is that this is a problem — that the answer is not obvious.

The relationship between money-world and the concrete social and material world is long-standing, though not always explicit, question in the history of economic thought. A central strand in that history is the search for an answer that unifies these two worlds into one. 

From the beginnings of economics down to today’s textbooks, you can find variations on the argument that money quantities and money payments are just shorthand for the characteristics and use of concrete material objects. They are neutral — mere descriptions, which can’t change the underlying things. 

In 1752, we find David Hume writing that “Money is nothing but the representation of labour and commodities… Where coin is in greater plenty; as a greater quantity of it is required to represent the same quantity of goods; it can have no effect, either good or bad.”

And at the turn of the 21st century, we hear the same thing from FOMC member Lawrence Meyer: “Monetary policy cannot influence real variables–such as output and employment.” Money, he says, only affects “inflation in the long run. This immediately makes price stability … the direct, unequivocal, and singular long-term objective of monetary policy.”

We could add endless examples in between.

This view profoundly shapes most of our thinking about the economy.

We’ve all heard that money is neutral — that changes in the supply or availability of money only affect the price level while leaving relative prices and real activity unchanged. We’ve probably encountered the Coase Theorem, which says that the way goods are allocated to meet real human needs should be independent of who holds the associated property rights. We are used to talking about “real” output and “real “ interest rates without worrying too much about what they refer to.

There is, of course, also a long history of arguments on the other side — that money is autonomous, that money and credit are active forces shaping the concrete world of production and exchange, that there is no underlying value to which money-prices refer. But for the most part, these counter-perspectives occupy marginal or subterranean positions in economic theory, though they may have been influential in other domains.

The great exception is, of course, Keynes. Indeed, there is an argument that what was revolutionary about the Keynesian revolution was his break with orthodoxy on precisely this point. In the period leading up to the General Theory, he explained that the difference between the economic orthodoxy and the new theory he was seeking to develop was fundamentally the difference between the dominant vision of the economy in terms of what he called “real exchange,” and an alternative he vision he described as “monetary production.”

The orthodox theory (in our day as well as his) started from an economy in which commodities exchanged for other commodities, and then brought money in at a later stage, if at all, without changing the fundamental material tradeoffs on which exchange was based. His theory, by contrast, would describe an economy in which money is not neutral, and in which the organization of production cannot be understood in nonmonetary terms. Or in his words, it is the theory of “an economy in which money plays a part of its own and affects motives and decisions and is … so that the course of events cannot predicted, either in the long period or in the short, without a knowledge of the behavior of money.”

*

If you are fortunate enough to have been educated in the Keynesian tradition, then it’s easy enough to reject the idea that money is neutral. But figuring out how money world and concrete social reality do connect — that is not so straightforward. 

I’m currently in the final stages of writing a book with Arjun Jayadev, Money and Things, that is about exactly this question — the interface of money world with the social and material world outside of it. 

Starting from Keynes monetary-production vision, we explore question of how money matters in four settings.

First, the determination of the interest rate. There is, we argue, a basic incompatibility between a theory of the interest rate as price of saving or of time, and of the monetary interest rate we observe in the real world. And once we take seriously the idea of interest as the price of liquidity, we see why money cannot be neutral — why financial conditions invariably influence the composition as well as the level of expenditure. 

Second, price indexes and “real” quantities.  The ubiquitous  “real” quantities constructed by economists are, we suggest, at best phantom images of monetary quantities. Human productive activity is not in itself describable in terms of aggregate quantities. Obviously particular physical quantities, like the materials in this building, do exist. But there is no way to make a quantitative comparison between these heterogeneous things except on the basis of money prices — prices are not measuring any preexisting value. Prices within an exchange community are objective, from the point of view of those within the community. But there is no logically consistent procedure for comparing “real” output once you leave boundaries of a given exchange community, whether across time or between countries

The third area we look at the interface of money world and social reality is corporate finance and governance. We see the corporation as a central site of tension between the distinct social logics of money and production. Corporations are the central institutions of monetary production, but they are not themselves organized on market principles. In effect, the pursuit of profit pushes wealth owners to accept a temporary suspension of the logic of market – but this can only be carried so far.

The fourth area is debt and capital. These two central aggregates of money-world are generally understood to reflect “real,” nonmonetary facts about the world — a mass of means of production in the case of capital, cumulated spending relative to income in the case of debt. But the actual historical evolution of these aggregates cannot, we show, be understood in this way in either case. The evolution of capital as we observe it, in the form of wealth, is driven by changes in the value of existing claims on production, rather than the accumulation of new capital goods. These valuation changes in turn reflect, first, social factors influencing division of income between workers and owners and, second, financial factors influencing valuations of future income streams. Debt is indeed related to borrowing, in a way that capital is not related to accumulation. But changes in indebtedness over time owe as much to interest, income and price-level changes that affect burden of existing debt stock as they do to new borrowing. And in any case borrowing mainly finances asset ownership, as opposed to the dissaving that the real-excahnge vision imagines it as.

Even with the generous time allotted to me, I can’t discuss all four of those areas. So in this talk I will focus on the interest rate.

*

Some of what I am going to say here may seem familiar, or obvious. 

But I think it’s important to start here because it is so central to debates about money and macroeconomics. Axel Leijonhufvud long ago argued that the theory of the interest rate was at the heart of the confusion in modern macroeconomics. “The inconclusive quarrels … that drag on because the contending parties cannot agree what the issue is, largely stem from this source.” I think this is still largely true. 

Orthodoxy thinks of the interest rate as the price of savings, or loanable funds, or alternatively, as the tradeoff between consumption in the future and consumption in the present.

Interest in this sense is a fundamentally non-monetary concept. It is a price of two commodities, based on the same balance of scarcity and human needs that are the basis of other prices. The tradeoff between a shirt today and a shirt next year, expressed in the interest rate, is no different between the tradeoff between a cotton shirt and a linen one, or one with short versus long sleeves. The commodities just happen to be distinguished by time, rather than some other quality. 

Monetary loans, in this view, are just like a loan of a tangible object. I have a some sugar, let’s say. My neighbor knocks on the door, and asks to borrow it. If I lend it to them, I give up the use of it today. Tomorrow, the neighbor will return the same amount of sugar to me, plus something  extra – perhaps one of the cookies they baked with it. Whatever income you receive from ownership of an asset — whether we call it interest, profit or cookies — is a reward for deferring your use of the concrete services that the asset provides.

This way of thinking about interest is ubiquitous in economics. In the early 19th century Nassau Senior described interest as the reward for abstinence, which gives it a nice air of Protestant morality. In a current textbook, in this case Gregory Mankiw’s, you can find the same idea expressed in more neutral language: “Saving and investment can be interpreted in terms of supply and demand … of loanable funds — households lend their savings to investors or deposit their savings in a bank that then loans the funds out.”

It’s a little ambiguous exactly how we are supposed to imagine these funds, but clearly they are something that already exists before the bank comes into the picture. Just as with the sugar, if their owner is not currently using them, they can lend them to someone else, and get a reward for doing so.

If you’ve studied macroeconomics at the graduate level, you probably spent much of the semester thinking about variations on this story of tradeoffs between stuff today and stuff in the future, in the form of an Euler equation equating marginal costs and benefits across time. It’s not much of an exaggeration to say that mathematically elaborated versions of this story are the contemporary macro curriculum.

Money and finance don’t come into this story. As Mankiw says, investors can borrow from the public directly or indirectly via banks – the economic logic is the same either way. 

We might challenge this story from a couple of directions.

One criticism — first made by Piero Sraffa, in a famous debate with Friedrich Hayek about 100 years ago — is that in a non monetary world each commodity will have its own distinct rate of interest. Let’s say a pound of flour trades for 1.1 pounds (or kilograms) of flour a year from now. What will a pound or kilo of sugar today trade for? If, over the intervening year, the price of sugar rises relative to the price of flour, then a given quantity of sugar today will trade for a smaller amount of sugar a year from now, than the same quantity of flour will. Unless the relative price of flour and sugar are fixed, their interest rates will be different. Flour today will trade at one rate for flour in the future, sugar at a different rate; the use of a car or a house, a kilowatt of electricity, and so on will each trade with the same thing in the future at their own rates, reflecting actual and expected conditions in the markets for each of these commodities. There’s no way to say that any one of these myriad own-rates is “the” rate of interest.

Careful discussions of the natural rate of interest will acknowledge that it is only defined under the assumption that relative prices never change.

Another problem is that the savings story assumes that the thing to be loaned — whether it is a specific commodity or generic funds — already exists. But in the monetary economy we live in, production is carried out for sale. Things that are not purchased, will not be produced. When you decide not to consume something, you don’t make that thing available for someone else. Rather, you reduce the output of it, and the income of the producers of it, by the same amount as you reduce your own consumption. 

Saving, remember, is the difference between income and consumption. For you as an individual, you can take my  income as given when deciding how much to consume. So consuming less means saving more. But at the level of the economy as a whole, income is not independent of consumption. A decision to consume less does not raise aggregate saving, it lowers aggregate income. This is the fallacy of consumption emphasized by Keynes: individual decisions about consumption and saving have no effect on aggregate saving.

So the question of how the interest rate is determined, is linked directly to the idea of demand constraints.

Alternatively, rather than criticizing the loanable-funds story, we can start from the other direction, from the monetary world we actually live in. Then we’ll see that credit transactions don’t involve the sort of tradeoff between present and future that orthodoxy focuses on. 

Let’s say you are buying a home.

On the day that you settle , you visit the bank to finalize your mortgage. The bank manager puts in two ledger entries: One is a credit to your account, and a liability to the bank, which we call the deposit. The other, equal and offsetting entry is a credit to the bank’s own account, and a liability for you. This is what we call the loan. The first is an IOU from the bank to you, payable at any time.  The second is an IOU from you to the bank,  with specified payments every month, typically, in the US, for the next 30 years. Like ordinary IOUs, these ledger entries are created simply by recording them — in earlier times it was called “fountain pen” money.

The deposit is then immediately transferred to the seller, in return for the title to the house. For the bank, this simply means changing the name on the deposit — in effect,  you communicate to the bank that their debt that was payable to you, is now payable to the seller. On your balance sheet, one asset has been swapped for another — the $250,000 deposit, in this case, for a house worth $250,000.  The seller makes the opposite swap, of the title to a house for an equal value IOU from the bank.

As we can see, there is no saving or dissaving here. Everyone has just swapped assets of equal value.

This mortgage is not a loan of preexisting funds or of anything else. No one had to first make a deposit at the bank in order to allow them to make this loan.  The deposit — the money — was created in the process of making the loan itself. Banking does not channel saving to borrowing as in the loanable-funds view, but allows a swap of promises.

One thing I always emphasize to my students: You should not talk about putting money in the bank. The bank’s record is the money.

On one level this is common knowledge. I am sure almost everyone in this room could explain how banks create money. But the larger implications are seldom thought through. 

What did this transaction consist of? A set of promises. The bank made a promise to the borrowers, and the borrowers made a promise to the bank. And then the bank’s promise was transferred to the sellers, who can transfer it to some third party in turn. 

The reason that the bank is needed here is because you cannot directly make a promise to the seller. 

You are willing to make a promise of future payments whose present value is worth more than the value the seller puts on their house. Accepting that deal will make both sides better off. But you can’t close that deal, because your promise of payments over the next 30 years is not credible. They don’t know if you are good for it. They don’t have the ability to enforce it. And even they trust you, maybe because you’re related or have some other relationship, other people do not. So the seller can’t turn your promise of payment into an immediate claim on other things they might want. 

Orthodox theory starts from assumption that everyone can freely contract over income and commodities at any date in the future. That familiar Euler equation is based on the idea that you can allocate your income from any future period to consumption in the present, or vice versa. That is the framework within which the interest rate looks like a tradeoff between present and future. But you can’t understand interest in a framework that abstracts away from precisely the function that money and credit play in real economies.

The fundamental role of a bank, as Hyman Minsky emphasized,  is not intermediation but acceptance. Banks function as third parties who broaden the range of transactions that can take place on the basis of promises. You are willing to commit to a flow of money payments to gain legal rights to the house. But that is not enough to acquire the house. The bank, on the other hand, precisely because its own promises are widely trusted, is in a position to accept a promise from you.

Interest is not paid because consumption today is more desirable than consumption in the future. Interest is paid because credible promises about the future are hard to make. 

*

The cost of the mortgage loan is not that anyone had to postpone their spending. The cost is that the balance sheets of both transactors have become less liquid.

We can think of liquidity in terms of flexibility — an asset or a balance sheet position is liquid insofar as it broadens your range of options. Less liquidity, means fewer options.

For you as a homebuyer, the result of the transaction is that you have committed yourself to a set of fixed money payments over the next 30 years, and acquired the legal rights associated with ownership of a home. These rights are presumably worth more to you than the rental housing you could acquire with a similar flow of money payments. But title to the house cannot easily be turned back into money and thereby to claims on other parts of the social product. Home ownership involves — for better or worse — a long-term commitment to live in a particular place.  The tradeoff the homebuyer makes by borrowing is not more consumption today in exchange for less consumption tomorrow. It is a higher level of consumption today and tomorrow, in exchange for reduced flexibility in their budget and where they will live. Both the commitment to make the mortgage payments and the non-fungibility of home ownership leave less leeway to adapt to unexpected future developments.

On the other side, the bank has added a deposit liability, which requires payment at any time, and a mortgage asset which in itself promises payment only on a fixed schedule in the future. This likewise reduces the bank’s freedom of maneuver. They are exposed not only to the risk that the borrower will not make payments, but also to the risk of capital loss if interest rates rise during the period they hold the mortgage, and to the risk that the mortgage will not be saleable in an emergency, or only at an unexpectedly low price. As real world examples like, recently, Silicon Valley Bank show, these latter risks may in practice be much more serious than the default risk. The cost to the bank making the loan is that its balance sheet becomes more fragile.

Or as Keynes put it in a 1937 article, “The interest rate … can be regarded as being determined by the interplay of the terms on which the public desires to become more or less liquid and those on which the banking system is ready to become more or less unliquid.”

Of course in the real world things are more complicated. The bank does not need to wait for the mortgage payments to be made at the scheduled time. It can transfer the mortgage to a third party,  trading off some of the income it expected for a more liquid position. The buyer might be some other financial institution looking for a position farther toward the income end of the liquidity-income tradeoff, perhaps with multiple layers of balance sheets in between. Or the buyer might be the professional liquidity-providers at the central bank. 

Incidentally, this is an answer to a question that people don’t ask often enough: How is it that the central bank is able to set the interest rate at all? The central bank plays no part in the market for loanable funds. But central banks are very much in the liquidity business. 

It is monetary policy, after all, not savings policy.  

One thing this points to is that there is no fundamental difference between routine monetary policy and the central bank’s role as a lender of last resort and a regulator. All of these activities are about managing the level of liquidity within the financial system. How easy is it to meet your obligations. Too hard, and the web of obligations breaks. Too easy, and the web of money obligations loses its ability to shape our activity, and no longer serves as an effective coordination device. 

As the price of money — the price for flexibility in making payments as opposed to fixed commitments — the interest rate is a central parameter of any monetary economy. The metaphor of “tight” or “loose” conditions for high or low interest rates captures an important truth about the connection between interest and the flexibility or rigidity of the financial system. High interest rates correspond to a situation in which promises of future payment are worth less in terms of command over resources today. When it’s harder to gain control over real resources with promises of future payment, the pattern of today’s payments is more tightly linked to yesterday’s income. Conversely, low interest rates mean that a promise of future payments goes a long way in securing resources today. That means that claims on real resources therefore depend less on incomes in the past, and more on beliefs about the future. And because interest rate changes always come in an environment of preexisting money commitments, interest also acts as a scaling variable, reweighting the claims of creditors against the income of debtors.

*

In addition to credit transactions, the other setting in which interest appears in the real world is in the  price of existing assets. 

A promise of money payments in the future becomes an object in its own right, distinct from those payments themselves. I started out by saying that all sorts of tangible objects have a shadowy double in money-world. But a flow of money payments can also acquire a phantom double.  A promise of future payment creates a new property right, with its owner and market price. 

When we focus on that fact, we see an important role for convention in the determination of interest. To some important extent, bond prices – and therefore interest rates – are what they are, because that is what market participants expect them to be. 

A corporate bond promises a set of future payments. It’s easy in a theoretical world of certainty, to talk as if the bond just is those future payments. But it is not. 

This is not just because it might default, which is easy to incorporate into the model. It’s not just because any real bond was issued in a certain jurisdiction, and conveys rights and obligations beyond payment of interest — though these other characteristics always exist and can sometimes be important. It’s because the bond can be traded, and has a price which can change independent of the stream of future payments. 

If interest rates fall, your bond’s price will rise — and that possibility itself is a factor in the price of the bond.

This helps explain a widely acknowledged anomaly in financial markets. The expectation hypothesis says that the interest rate on a longer bond should be the same as the average of shorter rates over the same period, or at least that they should be related by a stable term premium. This seems like a straightforward arbitrage, but it fails completely, even in its weaker form.

The answer to this puzzle is an important part of Keynes’ argument in The General Theory. Market participants are not just interested in the two payment streams. They are interested in the price of the long bond itself.

Remember, the price of an asset always moves inversely with its yield. When rates on a given type of credit instrument go up, the price of that instrument falls. Now let’s say it’s widely believed that a 10 year bond is unlikely to trade below 2 percent for very long. Then you would be foolish to buy it at a yield much below 2 percent, because you are going to face a capital loss when yields return to their normal level. And if most people believe this, then the yield never will fall below 2 percent, no matter what happens with short rates.

In a real world where the future is uncertain and monetary commitments have their own independent existence, there is an important sense in which interest rates, especially longer ones, are what they are because that’s what people expect them to be.

One important implication of this is that we cannot think of various market interest rates as simply “the” interest rate, plus a risk premium. Different interest rates can move independently for reasons that have nothing to do with credit risk. 

*

On the one hand, we have a body of theory built up on the idea of “the” interest rate as a tradeoff between present and future consumption. On the other, we have actual interest rates, set in the financial system in quite different ways.

People sometimes try to square the circle with the idea of a natural rate. Yes, they say, we know about liquidity and the term premium and the importance of different kinds of financial intermediaries and regulation and so on. But we still want to use the intertemporal model we were taught in graduate school. We reconcile this by treating the model as an analysis of what the interest rate ought to be. Yes, banks set interest rates in all kinds of ways, but there is only one interest rate consistent with stable prices and, more broadly, appropriate use of society’s resources. We call this the natural rate.

This idea was first formulated around the turn of the 20th century by Swedish economist Knut Wicksell. But the most influential modern statement comes from Milton Friedman. He introduces the natural rate of interest, along with its close cousin the natural rate of unemployment, in his 1968 Presidential Address to the American Economics Association, which has been described as the most influential paper in economics since World War II. The natural rates there correspond to the rates that would be “ground out by the Walrasian system of general equilibrium equations, provided there is imbedded in them the actual structural characteristics of the labor and commodity markets, including market imperfections, stochastic variability in demands and supplies, the cost of gathering information … and so on.” 

The appeal of the concept is clear: It provides a bridge between the nonmonetary world of intertemporal exchange of economic theory, and the monetary world of credit contracts in which we actually live. In so doing, it turns the intertemporal story from a descriptive one to a prescriptive one — from an account of how interest rates are determined, to a story about how central banks should conduct monetary policy.

Fed Chair Jerome Powell gave a nice example of how central bankers think of the natural rate in a speech a few years ago. He  introduces the natural interest rate R* with the statement that “In conventional models of the economy, major economic quantities … fluctuate around values that are considered ‘normal,’ or ‘natural,’ or ‘desired.’” R* reflects “views on the longer-run normal values for … the federal funds rate” which are based on “ fundamental structural features of the economy.” 

Notice the confusion here between the terms normal, natural and desired, three words with quite different meanings. R* is apparently supposed to be the long-term average interest rate, and the interest rate that we would see in a world governed only fundamentals and the interest rate that delvers the best policy outcomes.

This conflation is a ubiquitous and essential feature of discussions of natural rate. Like the controlled slipping between the two disks of a clutch in a car, it allows systems moving in quite different ways to be joined up without either side fracturing from the stress. The ambiguity between these distinct meanings is itself normal, natural and desired. 

The ECB gives perhaps an even nicer statement:  “At its most basic level, the interest rate is the ‘price of time’ — the remuneration for postponing spending into the future.” R* corresponds to this. It is a rate of interest determined by purely non monetary factors, which should be unaffected by developments in the financial system. Unfortunately, the actual interest rate may depart from this. In that case, the natural rate, says the ECB,  “while unobservable … provides a useful guidepost for monetary policy.”

I love the idea of an unobservable guidepost. It perfectly distills the contradiction embodied in the idea of R*. 

As a description of what the interest rate is, a loanable-funds model is merely wrong. But when it’s turned into a model of the natural rate, it isn’t even wrong. It has no content at all. There is no way to connect any of the terms in the model with any observable fact in the world. 

Go back to Friedman’s formulation, and you’ll see the problem: We don’t possess a model that embeds all the “actual structural characteristics” of the economy. For an economy whose structures evolve in historical time, it doesn’t make sense to even imagine such a thing. 

In practice, the short-run natural rate is defined as the one that results in inflation being at target — which is to say, whatever interest rate the central bank prefers.

The long-run natural rate is commonly defined as the real interest rate where “all markets are in equilibrium and there is therefore no pressure for any resources to be redistributed or growth rates for any variables to change.” In this hypothetical steady state, the interest rate depends only on the same structural features that are supposed to determine long-term growth — the rate of technical progress, population growth, and households’ willingness to defer consumption.

But there is no way to get from the short run to the long run. The real world is never in a situation where all markets are in equilibrium. Yes, we can sometimes identify long-run trends. But there is no reason to think that the only variables that matter for those trends are the ones we have chosen to focus on in a particular class of models. All those “actual structural characteristics” continue to exist in the long run.

The most we can say is this: As long as there is some reasonably consistent relationship between the policy interest rate set by the central bank and inflation, or whatever its target is, then there will be some level of the policy rate that gets you to the target. But there’s no way to identify that with “the interest rate” of a theoretical model. The current level of aggregate spending in the economy depends on all sorts of contingent, institutional factors, on sentiment, on choices made in the past, on the whole range of government policies. If you ask, what policy interest rate is most likely to move inflation toward 2 percent, all that stuff matters just as much as the supposed fundamentals.

The best you can do is set the policy rate by whatever rule of thumb or process you prefer, and then after the fact say that there must be some model where that would be the optimal choice. 

Michael Woodford is the author of Interest and Prices, one of the most influential efforts to incorporate monetary policy into a modern macroeconomic model. He pretty explicitly acknowledges that’s what he was doing — trying to backfill a theory to explain the choices that central banks were already making.

*

What are the implications of this?

First, with regard to monetary policy, let’s acknowledge that it involves political choices made to achieve a variety of often conflicting social goals. As Ben Braun and others have written about very insightfully. 

Second, recognizing that interest is the price of liquidity, set in financial markets, is important for how we think about sovereign debt.

There’s a widespread story about fiscal crises that goes something like this. First, a government’s fiscal balance (surplus or deficit) over time determines its debt-GDP ratio. If a country has a high debt to GDP, that’s the result of overspending relative to tax revenues. Second, the debt ratio determines to market confidence; private investors do not want to buy the debt of a country that has already issued too much. Third, the state of market confidence determines the interest rate the government faces, or whether it can borrow at all. Fourth, there is a clear line where high debt and high interest rates make debt unsustainable; austerity is the unavoidable requirement once that line is passed. And finally, when austerity restores debt sustainability, that will contribute to economic growth. 

Alberto Alesina was among the most vigorous promoters of this story, but it’s a very common one.

If you accept the premises, the conclusions follow logically. Even better, they offer the satisfying spectacle of public-sector hubris meeting its nemesis. But when we look at debt as a monetary phenomenon, we see that its dynamics don’t run along such well-oiled tracks.

First of all, as a historical matter, differences in growth, inflation and interest rates are at least as important as the fiscal position in determining the evolution of the debt ratio over time. Where debt is already high, moderately slower growth or higher interest rates can easily raise the debt ratio faster than even very large surpluses can reduce it – as many countries subject to austerity have discovered. Conversely, rapid economic growth and low interest rates can lead to very large reductions in the debt ratio without the government ever running surpluses, as in the US and UK after World War II. More recently, Ireland reduced its debt-GDP ratio by 20 points in just five years in the mid-1990s while continuing to run substantial deficits, thanks to very fast growth of the “Celtic tiger” period. 

At the second step, market demand for government debt clearly is not an “objective” assessment of the fiscal position, but reflects broader liquidity conditions and the self-confirming conventional expectations of speculative markets. The claim that interest rates reflect the soundness or otherwise of public budgets runs up against a glaring problem: The financial markets that recoil from a country’s bonds one day were usually buying them eagerly the day before. The same markets that sent interest rates on Spanish, Portuguese and Greek bonds soaring in 2010 were the ones snapping up their public and private debt at rock-bottom rates in the mid-2000s. And they’re the same markets that returned to buying those countries debt at historically low levels today, even as their debt ratios, in many cases, remained very high. 

People like Alesina got hopelessly tangled up on this point. They wanted to insist both that post-crisis interest rates reflected an objective assessment of the state of public finances, and that the low rates before the crisis were the result of a speculative bubble. But you can’t have it both ways.

This is not to say that financial markets are never a constraint on government budgets. For most of the world, which doesn’t enjoy the backstop of a Fed or ECB, they very much are. But we should never imagine that financial conditions are an objective reflection of a country’s fiscal position, or of the balance of savings and investment. 

The third big takeaway, maybe the biggest one, is that money is never neutral.

If the interest rate is a price, what it is a price of is not “saving” or the willingness to wait. It is not “remuneration for deferring spending,” as the ECB has it. Rather, it is of the capacity to make and accept promises. And where this capacity really matters, is where finance is used not just to rearrange claims on existing assets and resources, but to organize the creation of new ones. The technical advantages of long lived means of production and specialized organizations can only be realized if people are in a position to make long-term commitments. And in a world where production is organized mainly through money payments, that in turn depends on the degree of liquidity.

There are, at any moment, an endless number of ways some part of society’s resources could be reorganized so as to generate greater incomes, and hopefully use values. You could open a restaurant, or build a house, or get a degree, or write a computer program, or put on a play. The physical resources for these activities are not scarce; the present value of the income they can generate exceeds their costs at any reasonable discount rate. What is scarce is trust. You, starting on a project, must exercise a claim on society’s resources now; society must accept your promise of benefits later. The hierarchy of money  allows participants in various collective projects to substitute trust in a third party for trust in each other. But trust is still the scarce resource.

Within the economy, some activities are more trust-intensive, or liquidity-constrained,  than others.

Liquidity is more of a problem when there is a larger separation between outlays and rewards, and when rewards are more uncertain.

Liquidity is more of the problem when the scale of the outlay required is larger.

Liquidity and trust are more important when decisions are irreversible.

Trust is more important when something new is being done.

Trust is more scarce when we are talking about coordination between people without any prior relationship.

These are the problems that money and credit help solve. Abundant money does not just lead people to pay more for the same goods. It shifts their spending toward things that require bigger upfront payments and longer-term commitments, and that are riskier.

I was listening to an interview with an executive from wind-power company on the Odd Lots podcast the other day. “We like to say that our fuel is free,” he said. “But really, our fuel is the cost of capital.” The interest rate matters more for wind power than for gas or coal, because the costs must be paid almost entirely up front, as opposed to when the power is produced. 

When costs and returns are close together, credit is less important.

In settings where ongoing relationships exist, money is less important as a coordinating mechanism. Markets are for arms-length transactions between strangers.

Minsky’s version of the story emphasizes that we have to think about money in terms of two prices, current production and long-lived assets. Long-lived assets must be financed – acquiring one typically requires committing to a series of future payments . So their price is sensitive to the availability of money. An increase in the money supply — contra Hume, contra Meyer — does not raise all prices in unison. It disproportionately raises the price of long-lived assets, encouraging production of them. And it is long-lived assets that are the basis of modern industrial production.

The relative value of capital goods, and the choice between more and less capital-intensive production techniques, depends on the rate of interest. Capital goods – and the corporations and other long-lived entities that make use of them – are by their nature illiquid. The willingness of wealth owners to commit their wealth to these forms depends, therefore, on the availability of liquidity. We cannot analyze conditions of production in non-monetary terms first and then afterward add money and interest to the story.  Conditions of production themselves depend fundamentally on the network of money payments and commitments that structure them, and how flexible that network is.

*

Taking money seriously requires us to reconceptualize the real economy. 

The idea of the interest rate as the price of saving assumes, as I mentioned before, that output already exists to be either consumed or saved. Similarly, the idea of interest as an intertemporal price — the price of time, as the ECB has it — implies that future output is already determined, at least probabilistically. We can’t trade off current consumption against future consumption unless future consumption already exists for us to trade.

Wicksell, who did as much as anyone to create the natural-rate framework of today’s central banks, captured this aspect of it perfectly when he compared economic growth to wine barrels aging in the cellar. The wine is already there. The problem is just deciding when to open the barrels — you would like to have some wine now, but you know the wine will get better if you wait.

In policy contexts, this corresponds to the idea of a level of potential output (or full employment) that is given from the supply side. The productive capacity of the economy is already there; the most that money, or demand, can accomplish is managing aggregate spending so that production stays close to that capacity.

This is the perspective from which someone like Lawrence Meyer, or Paul Krugman for that matter, says that monetary policy can only affect prices in the long run. They assume that potential output is already given.

But one of the big lessons we have learned from the past 15 years of macroeconomic instability is that the economy’s productive potential is much more unstable, and much less certain, than economists used to think. We’ve seen that the labor force grows and shrinks in response to labor market conditions. We’ve seen that investment and productivity growth are highly sensitive to demand. If a lack of spending causes output to fall short of potential today, potential will be lower tomorrow. And if the economy runs hot for a while, potential output will rise.

We can see the same thing at the level of individual industries. One of the most striking, and encouraging developments of recent years has been the rapid fall in costs for renewable energy generation. It is clear that this fall in costs is the result, as much as the cause, of the rapid growth in spending on these technologies. And that in turn is largely due to successful policies to direct credit to those areas. 

A perspective that sees money as epiphenomenal to the “real economy” of production would have ruled out that possibility.

This sort of learning by doing is ubiquitous in the real world. Economists prefer to assume decreasing returns only because that’s an easy way to get a unique market equilibrium. 

This is one area where formal economics and everyday intuition diverge sharply. Ask someone whether they think that buying more or something, or making more of something, will cause the unit price to go up or down. If you reserve a block of hotel rooms, will the rooms be cheaper or more expensive than if you reserve just one? And then think about what this implies about the slope of the supply curve.

There’s a wonderful story by the great German-Mexican writer B. Traven called “Assembly Line.” The story gets its subversive humor from a confrontation between an American businessman, who takes it for granted that costs should decline with output, and a village artisan who insists on actually behaving like the textbook producer in a world of decreasing returns.

In modern economies, if not in the village, the businessman’s intuition is correct. Increasing returns are very much the normal case. This means that multiple equilibria and path dependence are the rule. And — bringing us back to money — that means that what can be produced, and at what cost, is a function of how spending has been directed in the past. 

Taking money seriously, as its own autonomous social domain, means recognizing that social and material reality is not like money. We cannot think of it in terms of a set of existing objects to be allocated, between uses or over time. Production is not a quantity of capital and a quantity of labor being combined in a production function. It is organized human activity, coordinated in a variety of ways, aimed at open-ended transformation of the world whose results are not knowable in advance.

On a negative side, this means we should be skeptical about any economic concept described as “natural” or “real”. These are very often an attempt to smuggle in a vision of a non monetary economy fundamentally different from our own, or to disguise a normative claim as a positive one, or both.

For example, we should be cautious about “real” interest rates. This term is ubiquitous, but it implicitly suggests that the underlying transaction is a swap of goods today for goods tomorrow, which just happens to take monetary form. But in fact it’s a swap of IOUs — one set of money payments for another. There’s no reason that the relative price of money versus commodities would come into it. 

And in fact, when we look historically, before the era of inflation-targeting central banks there was no particular relationship between inflation and interest rates.

We should also be skeptical of the idea of real GDP, or the price level. That’s another big theme of the book, but it’s beyond the scope of today’s talk.

On the positive side, this perspective is, I think, essential preparation to explore when and in what contexts finance matters for production. Obviously, in reality, most production coordinated in non-market ways, both within firms — which are planned economies internally — and through various forms of economy-wide planning. But there are also cases where the distribution of monetary claims through the financial system is very important. Understanding which specific activities are credit-constrained, and in what circumstances, seems like an important research area to me, especially in the context of climate change. 

*

Let me mention one more direction in which I think this perspective points us.

As I suggested, the idea of the interest rate as the price of time, and the larger real-exchange vision of which it is part, treats money flows and aggregates as stand-ins for an underlying nonmonetary real economy. People who take this view tend not be especially concerned with exactly how the monetary values are constructed. Which rate, out of the complex of interest rates, is “the” interest rate? Which f the various possible inflation rates, and over what period, do we subtract to get the “real” interest rate? What payments exactly are included in GDP, and what do we do if that changes, or if it’s different in different countries? 

If we think of the monetary values as just proxies for some underlying “real” value, the answers to these questions don’t really matter. 

I was reading a paper recently that used the intensity of nighttime illumination  across the Earth’s surface as an alternative measure of real output. It’s an interesting exercise. But obviously, if that’s the spirit you are approaching GDP in, you don’t worry about how the value of financial services is calculated, or on what basis we are imputing the services of owner-occupied housing.  The number produced by the BEA is just another proxy for the true value of real output, that you can approximate in all kinds of other ways.

On the other hand, if you think that the money values are what is actually real — if you don’t think they are proxies for any underlying material quantity — then you have to be very concerned with the way they are calculated. If the interest rate really does mean the payments on a loan contract, and not some hypothetical exchange rate between the past and the future, then you have to be clear about which loan contract you have in mind.

Along the same lines, most economists treat the object of inquiry as the underlying causal relationships in the economy, those “fundamental structural characteristics” that are supposed to be stable over time. Recall that the natural rate of interest is explicitly defined with respect to a long run equilibrium where all macroeconomic variables are constant, or growing at a constant rate. If that’s how you think of what you are doing, then specific historical developments are interesting at most as case studies, or as motivations for the real work, which consists of timeless formal models.

But if we take money seriously, then we don’t need to postulate this kind of underlying deep structure. If we don’t think of interest in terms of a tradeoff between the present and the future, then we don’t need to think of future income and output as being in any sense already determined. And if money matters for the activity of production, both as financing for investment and as demand, then there is no reason to think the actual evolution of the economy can be understood in terms of a long-run trend determined by fundamentals. 

The only sensible object of inquiry in this case is particular events that have happened, or might happen. 

Approaching our subject this way means working in terms of the variables we actually observe and measure. If we study GDP, it is GDP as the national accountants actually define it and measure it, not “output” in the abstract. These variables are generally monetary. 

It means focusing on explanations for specific historical developments, rather than modeling the behavior of “the economy” in the abstract.

It means elevating descriptive work over the kinds of causal questions that economists usually ask. Which means broadening our empirical toolkit away from econometrics. 

These methodological suggestions might seem far removed from alternative accounts of the interest rate. But as Arjun and I have worked on this book, we’ve become convinced that the two are closely related. Taking money seriously, and rejecting conventional ideas of the real economy, have far-reaching implications for how we do economics.  

Recognizing that money is its own domain allows us to see productive activity as an open-ended historical process, rather than a static problem of allocation. By focusing on money, we can get a clearer view of the non-monetary world — and, hopefully, be in a better position to change it. 

At Barron’s: Are Low Rates to Blame for Bubbles?

(I write a monthly opinion piece for Barron’s. These sometimes run in the print edition, which I appreciate — it’s a vote of confidence from the editors, and means more readers. It does impose a tighter word count limit, though. The text below is the longer version I originally submitted. The version that was published is here. All of my previous Barron’s pieces are here.)

The past year has seen a parade of financial failures and asset crashes. Silicon Valley bank was the first bank failure since 2020, and the biggest since 2008. Before that came the collapse of FTX, and of much of the larger crypto ecosystem. Corporate bankruptcies are coming faster than at any time since 2011.  Even luxury watches are in freefall. 

The proximate cause of much of this turmoil is the rise in interest rates. So it’s natural to ask if the converse is true. Is the overvaluing of so many worthless assets  – whether through bubbles or fraud – the fault of a decade-plus of low rates? For those who believe this, the long period of low rates following the global financial crisis fueled an “everything bubble”, just as the earlier period of low rates fueled the housing boom of the 2000s. The rise of fragile or fraudulent institutions, which float up on easy credit before inevitably crashing back to earth, is a sign that monetary policy should never have been so loose. As journalist Rana Foorohar put it in a much-discussed article, “Keeping rates too low for too long encourages speculation and debt bubbles.”

You can find versions of this argument being made by  prominent Keynesians, as well as by economists of a more conservative bent. At the Bank for International Settlements “too low for too long” is practically a mantra. But, does the story make sense?

Yes, low interest rates are associated mean high asset prices. But that’s not the same as a bubble.To the extent an asset represents a stream of future payments, a low discount rate should raise its value. 

On the other hand, asset prices are not just about discounted future income streams; they also incorporate a bet on the future price of the asset itself. If a fall in interest rates leads to a rise in asset prices, market participants may mistakenly expect that rise to continue. That could lead to assets being overvalued even relative to the current low rates.

Another argument one sometimes hears for why low rates lead to bubbles is that when income from safe assets is low, investors will “reach for yield” by taking on more risk, bidding up the price of more speculative assets. Investors’ own liabilities also matter. When it’s cheap and easy to borrow, an asset may be attractive that wouldn’t be if financing were harder to come by.

But if low interest rates make acquiring risky assets more attractive, is that a problem? After all, that’s how monetary policy is supposed to work. The goal of rate cuts is precisely to encourage investment spending that wouldn’t happen if rates were higher.  As I argued recently, it’s not clear that most business investment is very responsive to interest rates. But whether the effect on the economy is strong or weak,  “low interest rates cause people to buy assets they otherwise wouldn’t” is just monetary policy working as intended.

Still, intended results may have unintended consequences. When people are reaching for yield, the argument goes, they are more likely to buy into projects that turn out to be driven by fraud, hype or fantasy.

Arguments for the dangers of low rates tend to take this last step for granted. But it’s not obvious why an environment of low yields should be more favorable to frauds. Projects with modest expected returns are, after all, much more common than projects with very high ones; when risk-free returns are very low, there should be more legitimate higher-yielding alternatives, and less need for risky long shots. Conversely, it is the projects that promise very high returns that are most likely to be frauds  — and that are viable at very high rates.

Certainly this was Adam Smith’s view. For him, the danger of speculation and fraud was not an argument for high interest rates, but the opposite. If legal interest rates were “so high as 8 or 10 percent,” he believed, then “the greater part of the money which was to be lent would be lent to prodigals and projectors, who alone would be willing to give this high interest. Sober people … would not venture into the competition.” 

The FTX saga is an excellent example. At one point, Sam Bankman-Fried—a projector and prodigal if ever there was one—offered as much as 20% on new loans to his hedge fund, Alameda, according to The Wall Street Journal. It wouldn’t take low rates to make that attractive — if he was good for it. But, of course, he was not. And that is the crux of the problem. Someone like Bankman-Fried is not offering a product with low but positive returns, that would be attractive only when rates are low but not when they were high. He was offering a product with an expected return that, in retrospect, was in the vicinity of -100 percent. Giving  him your money to him would be a bad idea at any interest rate. 

We can debate what it would take to prevent fraud-fueled bubbles in assets like cryptocurrency. Perhaps it calls for tighter restrictions on the kinds of products that can be offered for sale, or more stringent rules on the choices of retail investors. Or perhaps, given crypto’s isolation from the broader financial system, this is a case where it’s ok to just let the buyer beware. In any case, the problem was not that crypto offered higher returns than the alternative. The problem was that people believed the returns in crypto were much higher than they actually were. Is this a problem that interest rates can solve?

Let’s suppose for the sake of argument that it is. Suppose that without the option of risk-free returns of 3 or 4 or 5 percent, people will throw their money away on crazy longshots and obvious frauds. If you take this idea seriously, it has some funny implications. Normally, when we ask why asset owners are entitled to their income in the first place, the answer is that it’s an incentive to pick out the projects with the highest returns. (Hopefully these are also the most socially useful ones.) The “too low for too long” argument turns this logic on its head. It says that asset owners need to be guaranteed high returns because they can’t tell a good project from a bad one.

That said, there is one convincing version of this story. For all the reasons above, it does not make sense to think of ordinary investors being driven toward dangerous speculation by low interest rates. Institutions like insurance and pension funds are a different matter. They have long-term liabilities that are more or less fixed and, critically, independent of interest rates. Their long investment horizons mean their loss of income from lower rates will normally outweigh their capital gains when they fall. (This is one thing the BIS surely gets right.) When the alternative is insolvency, it can make sense to choose a project where the expected return is negative, if it offers a chance of getting out of the hole. That’s a common explanation for the seemingly irresponsible loans made by many Savings & Loans in the 1980s—faced with bankruptcy, they “gambled for resurrection.” One can imagine other institutions making a similar choice.

What broke the S&Ls in was high rates, not low ones. But there is a common thread. A structure set up when interest rates are in a certain range may not work when they move outside of it. A balance sheet set up on the basis of interest rates in some range will have problems if they move outside it. 

Modern economies depend on a vast web of payment expectations and commitments stretching far into the future. Changes in interest rates modify many change of those future payments; whether upward or downward, this means disappointed expectations and broken commitments. 

If the recent period of low rates was financially destabilizing,  then, the problem wasn’t the not low rates in themselves. It was that they weren’t what was planned on. If the Fed is going to draw general lessons from the bubbles that are now popping, it should not be about the dangers of low rates, but that of drastic and unexpected moves in either direction. 

At Barron’s: Americans Owe Less Than They Used To. Will the Fed Change That?

(I write a monthly opinion piece for Barron’s. This one was published there in September.)

Almost everyone, it seems, now agrees that higher interest rates mean economic pain. This pain is usually thought of in terms of lost jobs and shuttered businesses. Those costs are very real. But there’s another cost of rate increases that is less discussed: their effect on balance sheets.

Economists tend to frame the effects of interest rates in terms of incentives for new borrowing. As with (almost) anything else, if loans cost more, people will take less of them. But interest rates don’t matter only for new borrowers, they also affect people who borrowed in the past. As debt rolls over, higher or lower current rates get passed on to the servicing costs of existing debt. The effect of interest rate changes on the burden of existing debt can dwarf their effect on new borrowing—especially when debt is already high.

Let’s step back for a moment from current debates. One of the central macroeconomic stories of recent decades is the rise in household debt. In 1984, it was a bit over 60% of disposable income, a ratio that had hardly changed since 1960. But over the next quarter-century, debt-income ratios would double, reaching 130%. This rise in household debt was the background of the worldwide financial crisis of 2007-2008, and made household debt a live political question for the first time in modern American history.

Household debt peaked in 2008; it has since fallen almost as quickly as it rose. On the eve of the pandemic, the aggregate household debt-income ratio stood at 92%—still high, by historical standards, but far lower than a decade before.

These dramatic swings are often explained in terms of household behavior. For some on the political right, rising debt in the 1984-2008 period was the result of misguided government programs that encouraged excessive borrowing, and perhaps also a symptom of cultural shifts that undermined responsible financial management. On the political left, it was more likely to be seen as the result of financial deregulation that encouraged irresponsible lending, along with income inequality that pushed those lower down the income ladder to spend beyond their means.

Perhaps the one thing these two sides would agree on is that a higher debt burden is the result of more borrowing.

But as economist Arjun Jayadev and I have shown in a series of papers, this isn’t necessarily so. During much of the period of rising debt, households borrowed less on average than during the 1960s and 1970s. Not more. So what changed? In the earlier period, low interest rates and faster nominal income growth meant that a higher level of debt-financed expenditure was consistent with stable debt-income ratios.

The rise in debt ratios between 1984 and 2008, we found, was not mainly a story of people borrowing more. Rather, it was a shift in macroeconomic conditions that meant that the same level of borrowing that had been sustainable in a high-growth, low-interest era was unsustainable in the higher-interest environment that followed the steep rate hikes under Federal Reserve Chair Paul Volcker. With higher rates, a level of spending on houses, cars, education and other debt-financed assets that would previously have been consistent with a constant debt-income ratio, now led to a rising one.

(Yes, there would later be a big rise in borrowing during the housing boom of the 2000s. But this is not the whole story, or even the biggest part of it.)

Similarly, the fall in debt after 2008 in part reflects sharply reduced borrowing in the wake of the crisis—but only in part. Defaults, which resulted in the writing-off of about 10% of household debt over 2008-2012, also played a role. More important were the low interest rates of these years. Thanks to low rates, the overall debt burden continued to fall even as households began to borrow again.

In effect, low rates mean that the same fraction of income devoted to debt service leads to a larger fall in principal—a dynamic any homeowner can understand.

The figure nearby illustrates the relative contributions of low rates and reduced borrowing to the fall in debt ratios after 2008. The heavy black line is the actual path of the aggregate household debt-income ratio. The red line shows the path it would have followed if households had not reduced their borrowing after 2008, but instead had continued to take on the same amount of new debt (as a share of their income) as they did on average during the previous 25 years of rising debt. The blue line shows what would have happened to the debt ratio if households had borrowed as much as they actually did, but had faced the average effective interest rate of that earlier period.

As you can see, both reduced borrowing and lower rates were necessary for household debt to fall. Hold either one constant at its earlier level, and household debt would today be approaching 150% of disposable income. Note also that households were paying down debt mainly during the crisis itself and its immediate aftermath—that’s where the red and black lines diverge sharply. Since 2014, as household spending has picked up again, it’s only thanks to low rates that debt burdens have continued to fall.

(Yes, most household debt is in the form of fixed-rate mortgages. But over time, as families move homes or refinance, the effective interest rate on their debt tends to follow the rate set by the Fed.)

The rebuilding of household finances is an important but seldom-acknowledged benefit of the decade of ultra-low rates after 2007. It’s a big reason why the U.S. economy weathered the pandemic with relatively little damage, and why it’s growing so resiliently today.

And that brings us back to the present. If low rates relieved the burden of debt on American families, will rate hikes put them back on an unsustainable path?

The danger is certainly real. While almost all the discussion of rate hikes focuses on their effects on new borrowing, their effects on the burden of existing debt are arguably more important. The 1980s—often seen as an inflation-control success story—are a cautionary tale in this respect. Even though household borrowing fell in the 1980s, debt burdens still rose. The developing world—where foreign borrowing had soared in response to the oil shock—fared much worse.

Yes, with higher rates people will borrow less. But it’s unlikely they will borrow enough less to offset the increased burden of the debt they already have. The main assets financed by credit—houses, cars, and college degrees—are deeply woven into American life, and can’t be easily foregone. It’s a safe bet that a prolonged period of high rates will result in families carrying more debt, not less.

That said, there are reasons for optimism. Interest rates are still low by historical standards. The improvement in household finances during the post-2008 decade was reinforced by the substantial income-support programs in the relief packages Congress passed in response to the pandemic; this will not be reversed quickly. Continued strong growth in employment means rising household incomes, which, mechanically, pushes down the debt-income ratio.

Student debt cancellation is also well-timed in this respect. Despite the fears of some, debt forgiveness will not boost  current demand—no interest has been paid on this debt since March 2020, so the immediate effect on spending will be minimal. But forgiveness will improve household balance sheets, offsetting some of the effect of interest rate hikes and encouraging spending in the future, when the economy may be struggling with too little demand rather than (arguably) too much.

Reducing the burden of debt is also one of the few silver linings of inflation. It’s often assumed that if people’s incomes are rising at the same pace as the prices of the things they buy, they are no better off. But strictly speaking, this isn’t true—income is used for servicing debt as well as for buying things. Even if real incomes are stagnant or falling, rising nominal incomes reduce the burden of existing debt. This is not an argument that high inflation is a good thing. But even bad things can have benefits as well as costs.

Will we look back on this moment as the beginning of a new era of financial instability, as families, businesses, and governments find themselves unable to keep up with the rising costs of servicing their debt? Or will the Fed be able to declare victory before it has done too much damage? At this point, it’s hard to say.

Either way we should focus less on how monetary policy affects incentives, and more time on how it affects the existing structure of assets and liabilities. The Fed’s ability to steer real variables like GDP and employment in real time has, I think, been greatly exaggerated. Its long-run influence over the financial system is a different story entirely.

Fisher Dynamics Revisited

Back in the 2010s, Arjun Jayadev and I wrote a pair of papers (one, two) on the evolution of debt-income ratios for US households. This post updates a couple key findings from those papers. (The new stuff begins at the table below.)

Rather than econometric exercises, the papers were based on a historical accounting decomposition —  an approach that I think could be used much more widely. We separated changes in the debt-income ratio into six components — the primary deficit (borrowing net of debt service payments); interest payments; real income growth; inflation; and write downs of debt through default — and calculated the contribution of each to the change in debt ratios over various periods. This is something that is sometimes done for sovereign debt but, as far as I know, we were the first to do it for private debt-income ratios.

We referred to the contributions of the non-borrowing components as “Fisher dynamics,” in honor of Irving Fisher’s seminal paper on depressions as “debt deflations.” A key aspect of the debt-deflation story was that when nominal incomes fell, the burden of debt could rise even as debtors sharply reduced new borrowing and devoted a greater share of their income to paying down existing debt. In Fisher’s view, this was one of the central dynamics of the Great Depression. Our argument was that something like a slow-motion version of this took place in the US (and perhaps elsewhere) in recent decades.

The logic here is that the change in debt-income ratios is a function not only of new borrowing but also of the effects of interest, inflation and (real) income growth on the existing debt ratio, as well as of charge offs due to defaults.

Imagine you have a mortgage equal to double your annual income. That ratio can go down if your current spending is less than your income, so that you can devote part of your income to paying off the principal. Or it can go down if your income rises, i.e. by raising the denominator rather than lowering the numerator. It can also go down if you refinance at a lower interest rate; then the same fraction of your income devoted to debt service will pay down the principal faster. Our of course it can go down if some or all of it is written off in bankruptcy.

It is possible to decompose actual historical changes in debt-income ratios for any economic unit or sector into these various factors. The details are in either of the papers linked above. One critical point to note: The contributions of debt and income growth are proportional to the existing debt ratio, so the higher it already is, the more important these factors are relative to the current surplus or deficit.

Breaking out changes in debt ratios into these components was what we did in the two papers. (The second paper also explored alternative decompositions to look at the relationship been debt ratio changes and new demand from the household sector.) The thing we wanted to explain was why some periods saw rising debt-income ratios while others saw stable or falling ones.

While debt–income ratios were roughly stable for the household sector in the 1960s and 1970s, they rose sharply starting in the early 1980s. The rise in household leverage after 1980 is normally explained in terms of higher household borrowing. But increased household borrowing cannot explain the rise in household debt after 1980, as the net flow of funds to households through credit markets was substantially lower in this period than in earlier postwar decades. During the housing boom period of 2000–2007, there was indeed a large increase in household borrowing. But this is not the case for the earlier rise in household leverage in 1983–1990, when the debt– income ratios rose by 20 points despite a sharp fall in new borrowing by households.

As we explained:

For both the 1980s episode of rising leverage and for the post-1980 period as a whole, the entire rise in debt–income ratios is explained by the rise in nominal interest rates relative to nominal income growth. Unlike the debt deflation of the 1930s, this ‘debt disinflation’ has received little attention from economists or in policy discussions.

Over the full 1984–2011 period, the household sector debt–income ratio almost exactly doubled… Over the preceding 20 years, debt–income ratios were essentially constant. Yet households ran cumulative primary deficits equal to just 3 percent of income over 1984–2012 (compared to 20 percent in the preceding period). The entire growth of household debt after 1983 is explained by the combination of higher interest payments, which contributed an additional 3.3 points per year to leverage after 1983 compared with the prior period, and lower inflation, which reduced leverage by 1.3 points per year less.

We concluded:

From a policy standpoint, the most important implication of this analysis is that in an environment where leverage is already high and interest rates significantly exceed growth rates, a sustained reduction in household debt–income ratios probably cannot be brought about solely or mainly via reduced expenditure relative to income. …There is an additional challenge, not discussed in this paper, but central to both Fisher’s original account and more recent discussions of ‘balance sheet recessions’: reduced expenditure by one sector must be balanced by increased expenditure by another, or it will simply result in lower incomes and/or prices, potentially increasing leverage rather than decreasing it. To the extent that households have been able to run primary surpluses since 2008, it has been due mainly to large federal deficits and improvement in US net exports.

We conclude that if reducing private leverage is a policy objective, it will require some combination of higher growth, higher inflation, lower interest rates, and higher rates of debt chargeoffs. In the absence of income growth well above historical averages, lower nominal interest rates and/or higher inflation will be essential. … Deleveraging via low interest rates …  implies a fundamental shift in monetary policy. If interest-rate policy is guided by the desired trajectory of debt ratios, it no longer can be the primary instrument assigned to managing aggregate demand. This probably also implies a broader array of interventions to hold down market rates beyond traditional open market operations, policies sometimes referred to as ‘financial repression.’ Historically, policies of financial repression have been central to almost all episodes where private (or public) leverage was reduced without either high inflation or large-scale repudiation.

These papers only went through 2011. I’ve thought for a while it would be interesting to revisit this analysis for the more recent period of falling household debt ratios. 

With the help of Arjun’s student Advait Moharir, we’ve now brought the same analysis forward to the end of 2019. Stopping there was partly a matter of data availability — the BEA series on interest payments we use is published with a considerable lag. But it’s also a logical period to look at, since it brings us up to the start of the pandemic, which one would want to split off anyway.

The table below is a reworked version of tables in the two papers, updated through 2019. (I’ve also adjusted the periodization slightly.) 

Due to …
Period Annual PP Change in Debt Ratio Primary Deficit Interest Growth Inflation Defaults
1929 – 1931 3.7 -5.5 2.9 2.8 2.9 *
1932 – 1939 -1.2 -1.5 2.4 -1.6 -0.7 *
1940 – 1944 -3.8 -1.6 1.3 -2.5 -1.9 *
1945 – 1963 2.6 2.5 2.6 -1.5 -0.8 *
1964 – 1983 0.0 0.8 5.1 -2.4 -3.5 *
1984 – 1999 1.7 -0.3 7.5 -2.9 -2.1 -0.4
2000 – 2008 4.5 2.4 7.2 -1.7 -2.5 -0.8
2009 – 2013 -5.4 -3.7 5.8 -3.1 -2.3 -2.4
2014 – 2019 -2.0 -1.4 4.6 -3.4 -1.3 -0.6

Again, our central finding in the earlier papers was that if we compare the 1984-2008 period of rising debt ratios to the previous two decades of stable debt ratios, there was no rise in the primary deficit. For 1984-2008 as a whole, annual new borrowing exceeded debt service payments by 0.7 percent of income on average, almost exactly the same as during the 1964-1983 period. (That’s the weighted average of the two sub-periods shown in the table.) Even during the housing boom period, when new borrowing did significantly exceed debt service, this explained barely a third of the difference in annual debt-ratio growth (1.6 out of 4.5 points).

The question now is, what has happened since 2008? What has driven the fall in debt ratios from 130 percent of household income in 2008 to 92 percent on the eve of the pandemic?

In the immediate aftermath of the crisis, sharply reduced borrowing was indeed the main story. Of the 10-point swing in annual debt-ratio growth (from positive 4.5 points per year to negative 5.4), 6 points is accounted for by the fall in net borrowing (plus another 1.5 points from higher defaults). But for the 2014-2019 period, the picture is more mixed. Comparing those six years to the whole 1984-2008 period of rising debt, we have a 4.7 point shift in debt ratio growth, from positive 2.7 to negative 2. Of that, 2.1 points is explained by lower net borrowing, while almost 3 points is explained by lower interest. (The contribution of nominal income growth was similar in the two periods.) So if we ask why household debt ratios continued to fall over the past decade, rather than resuming their rise after the immediate crisis period, sustained low interest rates are at least as important as household spending decisions. 

Another way to see this is in the following graph, which compares three trajectories: The actual one in black, and two counterfactuals in red and blue. The red counterfactual is constructed by combining the average 1984-2008 level of net borrowing as a fraction of income to the actual historical rates of interest, nominal income growth and defaults. The blue counterfactual is similarly constructed by combining the average 1984-2008 effective interest rate with historical levels of net borrowing, nominal income growth and defaults. In other words, the red line shows what would have happened in a world where households had continued to borrow as much after 2008 as in the earlier period, while the blue line shows what would have happened if households had faced the same interest rates after 2008 as before. 

As the figure shows, over the 2008-2019 period as a whole, the influence of the two factors is similar — both lines end up in the same place. But the timing of their impact is different. In the immediate wake of the crisis, the fall in new borrowing was decisive — that’s why the red and black lines diverge so sharply. But in the later part of the decade, as household borrowing moved back toward positive territory and interest rates continued to fall, the more favorable interest environment became more important. That’s why the blue line starts rising after 2012 — if interest rates had been at their earlier level, the borrowing we actually saw in the late 2010s would have implied rising debt ratios. 

As with the similar figures in the papers, this figure was constructed by using the law of motion for debt ratios:

where b is the debt-income ratio, d is the primary deficit, is the effective interest rate (i.e. total interest payments divided by the stock of debt), g is income growth adjusted for inflation, π is the inflation rate, and sfa is a stock-flow adjustment term, in this case the reduction of debt due to defaults. The exact sources and definitions for the various variables can be found in the papers. (One note: We do not have a direct measurement of the fraction of household debt written off by default for the more recent period, only the fraction of such debt written down by commercial banks. So we assumed that the ratio of commercial bank writeoffs of household debt to total writeoffs was the same for the most recent period as for the period in which we have data for both.)

Starting from the actual debt-ratio in the baseline year (in this case, 2007), each year’s ending debt-income ratio is calculated using the primary deficit (i.e. borrowing net of debt service payments), the share of debt written off in default, nominal income growth and the interest rate. All but one of these variables are the actual historical values; for one, I instead use the average value for 1984-2007. This shows what the path of the debt ratio would have been if that variable had been fixed at its earlier level while the others evolved as they did historically.  In effect, the difference between these counterfactual lines and the historical one shows the contribution of that variable to the difference between the two periods.

Note that the interest rate here is not the current market rate, but the effective or average rate, that is, total interest payments divided by the stock of debt. For US households, this fell from around 6 percent in 2007 to 4.4 percent by 2019 — less than the policy rate did, but still enough to create a very different trajectory, especially given the compounding effect of interest on debt over time. So while expansionary monetary policy is not the whole story of falling debt ratios since 2008, it was an important part of it. As I recently argued in Barrons, the deleveraging of US households is unimportant and under appreciated benefit of the decade of low interest rates after the crisis.

 

At Barron’s: What We Don’t Talk About When We Talk About Inflation

(I am now writing a monthly opinion piece for Barron’s. This one was published there in July.)

To listen to economic policy debates today, you would think the U.S. economy has just one problem: inflation. When Federal Reserve Chairman Jerome Powell was asked at his last press conference if there was a danger in going too far in the fight against inflation, his answer was unequivocal: “The worst mistake we could make is to fail—it’s not an option. We have to restore price stability…because [it’s] everything, it’s the bedrock of the economy. If you don’t have price stability, the economy’s really not going to work.”

Few would dispute that rising prices are a serious problem. But are they everything?

The exclusive focus on inflation acts like a lens on our view of the economy—sharpening our attention on some parts of the picture, but blurring, distorting, and hiding from view many others.

In the wake of the Great Recession, there was a broadening of macroeconomic debates. Economists and policy makers shifted away from textbook truisms toward a more nuanced and realistic view of the economy. Today, this wide-ranging conversation has given way to panic over rising prices. But the realities that prompted those debates have not gone away.

In the clamor over inflation, we’re losing sight of at least four big macroeconomic questions.

First, does the familiar distinction between supply and demand really make sense at the level of the economy as a whole? In the textbooks, supply means the maximum level of production in the economy, labeled “full employment” or “potential output,” while demand means total spending. The two are supposed to be independent—changes in spending don’t affect how much the economy can produce, and vice versa. This is why we are used to thinking of business cycles and growth as two separate problems.

But in the real world, supply often responds to demand—more spending calls forth more investment and draws people into the labor force. This phenomenon, known by the unlovely name “hysteresis,” was clearly visible in the slowdown of labor force and productivity growth after the Great Recession, and their recovery when demand picked up in the years before the pandemic. The key lesson of this experience—in danger of being forgotten in today’s inflation panic—was that downturns are even more costly than we thought, since they not only imply lost output today but reduced capacity in the future.

Hysteresis is usually discussed at the level of the economy as a whole, but it also exists in individual markets and industries. For example, one reason airfares are high today is that airlines, anticipating a more sustained fall in demand for air travel, offered early retirement to thousands of senior pilots in the early stages of the pandemic. Recruiting and training new pilots is a slow process, one airlines will avoid unless it’s clear that strong demand is here to stay. So while conventional wisdom says that rising prices mean that we have too much spending and have to reduce it, in a world with hysteresis a better solution may be to maintain strong demand, so that supply can rise to meet it. In the textbook, we can restore price stability via lower demand with no long-run costs to growth. But are we sure things work so nicely in the real world?

The second big question is about the labor market. Here the textbook view is that there is a unique level of unemployment that allows wages to grow in line with productivity. When unemployment is lower than this “natural rate,” faster wage growth will be passed on to rising prices, until policy makers take action to force unemployment back up. But in the years before the pandemic, it was becoming clear that this picture is too simplistic. Rising wages don’t have to be passed on to higher prices—they may also come at the expense of profits, or spur faster productivity growth. And not all wages are equally responsive to unemployment. Younger, less-educated, and lower-wage workers are more dependent on tight labor markets to find work and get raises, while the incomes of workers with experience and credentials rise more steadily regardless of macroeconomic conditions. This means that—as Powell has acknowledged—macroeconomic policy has unavoidable distributional consequences.

In his classic essay “Political Aspects of Full Employment,” the great Polish economist Michal Kalecki argued that even if it were economically feasible to eliminate unemployment, this would be unsustainable, since employers’ authority in the workplace depends on “the threat of the sack.” Similar arguments have been made by central bank chiefs such as Alan Greenspan, who suggested that low unemployment was sustainable in the 1990s only because workers had been traumatized by the deep recession of the decade before.

Some would argue that it’s unnecessarily wasteful and cruel to maintain labor discipline and price stability by denying millions of people the chance to do useful work—especially given that, prior to the pandemic, unemployment had fallen well below earlier estimates of the “natural rate” with no sign of accelerating inflation. But if we wish to have a permanent full-employment economy, we need to answer a difficult question: How should we manage distributional conflicts between workers and owners (and among workers), and motivate people to work when they have little to fear from losing their job?

A third set of questions concerns globalization. There are widespread fears that renewed Covid lockdowns in China may limit exports to the U.S. and elsewhere. Seen through the inflation lens, this looks like a source of rising prices and a further argument for monetary tightening. But if we take a step back, we might ask whether it is wise to organize the global economy in such a way that lockdowns in China, a war in Ukraine, or even a factory fire in Japan leave people all over the world unable to meet their basic needs. The deepening of trade and financial links across borders is sometimes presented as a fact of nature. But in reality it reflects policy choices that allowed global production of all kinds of goods—from semiconductors to Christmas decorations and latex gloves—to be concentrated in a handful of locations. In some cases, this concentration is motivated by genuine technical advantages of larger-scale production, in others by the pursuit of low wages. But either way, it reflects a prioritization of cost minimization over flexibility and resiliency. Whatever happens with inflation, this is a trade-off that will have to be revisited in coming years, as climate change makes further disruptions in global supply chains all but inevitable.

Then there is climate change. Here, the inflation lens doesn’t just recolor the picture but practically reverses it. Until recently, the conventional wisdom was that a carbon tax was the key policy tool for addressing climate. An Obama-era economist once quipped that the big question on climate was whether a carbon tax was 80% of the solution, or 100%. A carbon tax would increase the prices of energy, which still mainly comes from fossil fuels, and of travel by private car. As it happens, this is exactly what we have seen: Autos and energy have increased much faster than other prices, to the point that these two categories account for a majority of the excess inflation over the past year. In effect, we’ve seen something like a global carbon tax. But far from welcoming the disproportionate rise in the prices of carbon-intensive goods as a silver lining of inflation, both policy makers and the public see it as an urgent problem to be solved.

To be clear, people are not wrong to be unhappy at the rising cost of cars and energy. In the absence of practical alternatives, these high prices inflict real hardship without necessarily doing much to speed the transition from carbon. One reasonable lesson, then, is that a carbon tax high enough to substantially reduce emissions will be politically intolerable. And indeed, before the pandemic, many economists were already shifting away from a carbon-price-focused approach to climate policy toward an investment-centered approach.

Whether via carbon prices or investment, the only way to reduce carbon emissions is to leave fossil fuels in the ground. Yet an increasing swath of the policy conversation is focused on how to encourage more drilling by oil-and-gas companies, not just today but into the indefinite future. As a response to today’s rising energy prices, this is understandable, given the genuine limitations of renewable energy. But how can measures to boost the supply of fossil fuels be consistent with a longer-term program of decarbonization?

None of these questions have easy answers. But the danger of focusing too single-mindedly on inflation is that we may not even try to answer them.

No Maestros: Further Thoughts

One of the things we see in the questions of monetary policy transmission discussed in my Barron’s piece is the real cost of an orthodox economics education. If your vision of the economy is shaped by mainstream theory, it is impossible to think about what central banks actually do.

The models taught in graduate economics classes feature an “interest rate” that is the price of goods today in terms of identical goods in the future. Agents in these models are assumed to be able to freely trade off consumption today against consumption at any point in the future, and to distribute income from any time in the future over their lifetime as they see fit, subject only to the “no Ponzi” condition that over infinite time their spending must equal their income. This is a world, in other words, of infinite liquidity. There are no credit markets as such, only real goods at different dates.7

Monetary policy in this framework is then thought of in terms of changing the terms at which goods today trade for goods tomorrow, with the goal of keeping it at some “natural” level. It’s not at all clear how the central bank is supposed to set the terms of all these different transactions, or what frictions cause the time premium to deviate from the natural level, or whether the existence of those frictions might have broader consequences. 8 But there’s no reason to get distracted by this imaginary world, because it has nothing at all to do with what real central banks do.

In the real world, there are not, in general, markets where goods today trade for identical goods at some future date. But there are credit markets, which is where the price we call “the interest rate” is found. The typical transaction in a credit market is a loan — for example, a mortgage. A mortgage does not involve any trading-off of future against present income. Rather, it is income-positive for both parties in every period.

The borrower is getting a flow of housing services and making a flow of mortgage payments, both of which are the same in every period. Presumably they are getting more/better housing services for their mortgage payment than they would for an equivalent rental payment in every period (otherwise, they wouldn’t be buying the house.) Far from getting present consumption at the expense of future consumption, the borrower probably expects to benefit more from owning the house in the future, when rents will be higher but the mortgage payment is the same.

The bank, meanwhile, is getting more income in every period from the mortgage loan than it is paying to the holder of the newly-created deposit. No one associated with the bank is giving up any present consumption — the loan just involves creating two offsetting entries on the bank’s books. Both parties to the transaction are getting higher income over the whole life of the mortgage.

So no one, in the mortgage transaction, is trading off the present against the future. The transaction will raise the income of both sides in every period. So why not make more mortgages to infinity? Because what both parties are giving up in exchange for the higher income is liquidity. For the homeowner, the mortgage payments yield more housing services than equivalent rent payments, but they are also harder to adjust if circumstances change. Renting gives you less housing for your buck, but it’s easier to move if it turns out you’d rather live somewhere else. For the bank, the mortgage loan (its asset) carries a higher interest rate than the deposit (its liability), but involves the risk that the borrower will not repay, and also the risk that, in a crisis, ownership of the mortgage cannot be turned into immediate cashflows while the deposit is payable on demand.

In short, the fundamental tradeoff in credit markets – what the interest rate is the price of – is not less now versus more later, but income versus liquidity and safety.9

Money and credit are hierarchical. Bank deposits are an asset for us – they are money – but are a liability for banks. They must settle their own transactions with a different asset, which is a liability for the higher level of the system. The Fed sits at the top of this hierarchy. That is what makes its actions effective. It’s not that it can magically change the terms of every transaction that involves things happening at different dates. It’s that, because its liabilities are what banks use to settle their obligations to each other, it can influence how easy or difficult they find it to settle those liabilities and hence, how willing they are to take on the risk of expanding their balance sheets.

So when we think about the transmission of monetary policy, we have to think about two fundamental questions. First, how much do central bank actions change liquidity conditions within the financial system? And second, how much does real activity depends on the terms on which credit is available?

We might gloss this as supply and demand for credit. The mortgage, however, is typical of credit transactions in another way: It involves a change in ownership of an existing asset rather than the current production of goods and services. This is by far the most common case. So some large part of monetary policy transmission is presumably via changes in prices of assets rather than directly via credit-financed current production. 10 There are only small parts of the economy where production is directly sensitive to credit conditions.

One area where current production does seem to be sensitive to interest rates is housing construction. This is, I suppose, because on the one hand developers are not large corporations that can finance investment spending internally, and on the other hand land and buildings are better collateral than other capital goods. My impression – tho I’m getting well outside my area of expertise here – is that some significant part of construction finance is shorter maturity loans, where rates will be more closely linked to the policy rate. And then of course the sale price of the buildings will be influenced by prevailing interest rates as well. As a first approximation you could argue that this is the channel by which Fed actions influence the real economy. Or as this older but still compelling article puts it, “Housing IS the business cycle.

Of course there are other possible channels. For instance, it’s sometimes argued that during the middle third of the 20th century, when reserve requirements really bound, changes in the quantity of reserves had a direct quantitative effect on the overall volume of lending, without the interest rate playing a central role one way or the other. I’m not sure how true this is — it’s something I’d like to understand better — but in any case it’s not relevant to monetary policy today. Robert Triffin argued that inventories of raw materials and imported commodities were likely to be financed with short term debt, so higher interest rates would put downward pressure on their prices specifically. This also is probably only of historical interest.

The point is, deciding how much, how quickly and how reliably changes in the central bank’s policy rate will affect real activity (and then, perhaps, inflation) would seem to require a fairly fine-grained institutional knowledge about the financial system and the financing needs of real activity. The models taught in graduate macroeconomics are entirely useless for this purpose. Even for people not immersed in academic macro, the fixation on “the” interest rate as opposed to credit conditions broadly is a real problem.

These are not new debates, of course. I’ve linked before to Juan Acosta’s fascinating article about the 1950s debates between Paul Samuelson and various economists associated with the Fed.11 The lines of debate then were a bit different from now, with the academic economists more skeptical of monetary policy’s ability to influence real economic outcomes. What Fed economist Robert Roosa seems to have eventually convinced Samuelson of, is that monetary policy works not so much through the interest rate — which then as now didn’t seem to have big effect on investment decision. It works rather by changing the willingness of banks to lend — what was then known as “the availability doctrine.” This is reflected in later editions of his textbook, which added an explanation of monetary policy in terms of credit rationing.

Even if a lender should make little or no change in the rate of interest that he advertises to his customers, there may probably still be the following important effect of “easy money.” …  the lender will now be rationing out credit much more liberally than would be the case if the money market were very tight and interest rates were tending to rise. … Whenever in what follows I speak of a lowering of interest rates, I shall also have in mind the equally important relaxation of the rationing of credit and general increase in the availability of equity and loan capital to business.

The idea that “the interest rate” is a metaphor or synecdoche for a broader easing of credit conditions is important step toward realism. But as so often happens, the nuance has gotten lost and the metaphor gets taken literally.

At Barron’s: There Are No Maestros

(A week ago, I had an opinion piece in Barron’s, which I am belatedly posting here. I talk a bit more about this topic in the following post.)

In today’s often acrimonious economic debates, one of the few common grounds is reverence for the Fed. Consider Jay Powell: First nominated to the Fed’s board of governors by President Obama, he was elevated to FOMC chair by Trump and renominated by Biden His predecessors Bernanke, Greenspan and Volcker were similarly first appointed by a president from one party, then reappointed by a president from the other. Politics stops at Maiden Lane.

There are disagreements about what the Fed should be doing — tightening policy to rein in inflation, or holding back to allow for a faster recovery. But few doubt that it’s the Fed’s job to make the choice, and that once they do, they can carry it out.

Perhaps, though, we should take a step back and ask if the Fed is really all-powerful. You might like to see inflation come down; I’d like to see stronger labor markets. But can the Fed give either of us what we want?

During the so-called Great Moderation, it was easy to have faith in the Fed. In the US, as in most rich countries, governments had largely turned over the job of macroeconomic management to independent central banks, and were enjoying an era of stable growth with low inflation. Magazine covers could, without irony, feature the Fed chair as  “Pope Greenspan and His College of Cardinals,” or (when the waters got choppier) the central figure in the “committee to save the world.”

Respectable opinion of the 1990s and 2000s was captured in a speech by Christina Romer (soon to be Obama’s chief economist), declaring that “the Federal Reserve, is directly responsible for the low inflation and the virtual disappearance of the business cycle in the last 25 years. …The story of stabilization policy of the last quarter century is one of amazing success.”

Romer delivered those words in late 2007. At almost exactly that moment, the US was entering its then-deepest recession since World War II.

The housing bubble and financial crisis raised some doubts about whether that success had been so amazing after all. The subsequent decade of slow growth and high unemployment, in the face of a Fed Funds rate of zero and multiple rounds of QE, should have raised more. Evidently the old medicine was no longer working – or perhaps had never worked as well as we thought.

In truth, there were always reasons for doubt.

One is that, as Milton Friedman famously observed, monetary policy acts with long and variable lags. A common  estimate is that the peak impact of monetary policy changes comes 18 to 24 months later, which is cripplingly slow for managing business cycles. Many people – including at the Fed – believe that today’s inflation is the transitory result of the pandemic. When the main effects of today’s tightening are felt two years from now, how confident are we that inflation will still be too high?

More fundamentally, there’s the question of what links monetary policy to inflation in the first place. Prices are, after all, set by private businesses; if they think it makes sense to raise prices, the Fed has no mind-control ray to convince them otherwise.

In the textbook story, changes in the Federal funds rate are passed through to other interest rates. A higher cost of borrowing discourages investment spending, reducing demand, employment and wages, which in turn puts downward pressure on prices. This was always a bit roundabout; today, it’s not clear that critical links in the chain function at all.

Business investment is financed with long-term debt; the average maturity of a corporate bond is about 13 years. But long rates don’t seem particularly responsive to the Federal funds rate. Between Fall 2015 and Spring 2019, for example, the Fed raised its policy rate by 2.5 points. Over this same period, the 10-year Treasury rate was essentially unchanged, and corporate bond yields actually fell. Earlier episodes show a similar non-response of long rates to Fed actions.

Nor is it obvious that business investment is particularly sensitive to interest rates, even long ones. One recent survey of the literature by Fed economists finds that hurdle rates for new investment “exhibit no apparent relation to market interest rates.”

Former Fed chair Ben Bernanke puzzled over “the black box” of monetary policy transmission. If it doesn’t move interest rates on the long-term debt that businesses mostly issue, and if even longer rates have no detectable effect on investment, how exactly is monetary policy affecting demand and inflation? It was a good question, to which no one has offered a very good answer.

To be sure, no one would claim that the Fed is powerless. Raise rates enough, and borrowers unable to roll over their loans will face default; as asset values fall and balance sheets weaken, households will have no choice but to drastically curtail consumption.

But being able to sink a ship is not the same as being able to steer it. The fact that the Fed can, if it tries hard enough, trigger a recession, does not mean that it can maintain steady growth. Perhaps it’s time to admit that there are no central banking “maestros” who know the secret of maintaining full employment and price stability. Balancing these critical social objectives requires a variety of tools, not just a single interest rate. And it is, for better or worse, the responsibility of our elected governments.