Does the Fed Still Believe in the NAIRU?

(I write occasional opinion pieces for Barron’s. This one was published there in October 2024. My previous pieces are here.)

Not long ago, there was widespread agreement on how to think about monetary policy. When the Federal Reserve hikes, this story went, it makes credit more expensive, reducing spending on new housing and other forms of capital expenditure. Less spending means less demand for labor, which means higher unemployment. With unemployment higher, workers accept smaller wage gains, and slower wage growth is in turn passed on as slower growth in prices — that is, lower inflation. 

This story, which you still find in textbooks, has some strong implications. One is that there was a unique level of unemployment consistent with stable 2% inflation — what is often called the “nonaccelerating inflation rate of unemployment,” or NAIRU. 

The textbook story also assumes that  wage- and price-setting depend on expectations of future prices. So it’s critical for central banks to stabilize not only current inflation but beliefs about future inflation; this implies a commitment to head off any inflationary pressures even before prices accelerate. On the other hand, if there is a unique unemployment rate consistent with stable inflation, then the Fed’s mandate is dual only in name. In practice, full employment and price stability come to the same thing.

In the early 21st century, all this seemed sufficiently settled that fundamental debates over monetary policy could be treated as a question for history, not present-day economics.

The worldwide financial crisis of 2007-2009 unsettled the conversation. The crisis, and, even more, the glacial recovery that followed it, opened the door to alternative perspectives on monetary policy and inflation. Jerome Powell, who took office as Federal Open Market Committee chair in 2018, was more open than his predecessors to a broader vision of both the Fed’s goals and the means of achieving them. In the decade after the crisis, the idea of a unique, fundamentals-determined NAIRU came to seem less plausible.

These concerns were crystallized in the strategic review process the Fed launched in 2019. That review resulted, among other things, in a commitment to allow future overshooting of the 2% inflation target to make up for falling short of it. The danger of undershooting seemed greater than in the past, the Fed acknowledged.

One might wonder how much this represents a fundamental shift in the Fed’s thinking, and how much it was simply a response to the new circumstances of the 2010s. Had Fed decision-makers really changed how they thought about the economy?

Many of us try to answer these questions by parsing the publications and public statements of Fed officials. 

A fascinating recent paper by three European political scientists takes this approach and carries it to a new level. The authors—Tobias Arbogast, Hielke Van Doorslaer and Mattias Vermeiern—take 120 speeches by FOMC members from 2012 through 2022, and systematically quantify the use of language associated with defense of the NAIRU perspective, and with various degrees of skepticism toward it. Their work allows us to put numbers on the shift in Fed thinking over the decade. 

The paper substantiates the impression of a move away from the NAIRU framework in the decade after the financial crisis. By 2019-2020, references to the natural rate or to the need to preempt inflation had almost disappeared from the public statements of FOMC members, while expressions of uncertainty about the natural rate, of a wait-and-see attitude toward inflation, and concern about hysteresis (long-term effects of demand shortfalls) had become more common. The mantra of “data dependence,” so often invoked by Powell and others, is also part of the shift away from the NAIRU framework, since it implies less reliance on unobservable parameters of economic models. 

Just as interesting as the paper’s confirmation of a shift in Fed language, is what it says about how the shift took place. It was only in small part the result of changes in the language used by individual FOMC members. A much larger part of the shift is explained by the changing composition of the FOMC, with members more committed to the NAIRU gradually replaced by members more open to alternative perspectives. 

The contrast between 2014-2018 Chair Janet Yellen and Powell is particularly noteworthy in this respect. Yellen, by the paper’s metric, was among the most conservative members of the FOMC, most committed to the idea of a fixed NAIRU and the need to preemptively raise rates in response to a strong labor market. Powell is at the opposite extreme — along with former Vice Chair Lael Brainard, he is the member who has most directly rejected the NAIRU framework, and who is most open to the idea that tight labor markets have long-term benefits for income distribution and productivity growth. The paper’s authors suggest, plausibly, that Powell’s professional training as a lawyer rather than an economist means that he is less influenced by economic models; in any case, the contrast shows how insulated the politics of the Fed are from the larger partisan divide.

Does the difference in conceptual frameworks really matter? The article’s authors argue that it does, and I agree. FOMC members may sincerely believe that they are nonideological technicians, pragmatically responding to the latest data in the interests of society as a whole. But data and interests are always assessed through the lens of some particular worldview. 

To take one important example: In the NAIRU framework, the economy’s productive potential is independent of monetary policy, while inflation expectations are unstable. This implies that missing the full employment target has at worst short-term effects, while missing the inflation target grows more costly over time. NAIRU, in other words, makes a preemptive strike on any sign of inflation seem reasonable. 

On the other hand, if you think that hysteresis is real and important, and that inflation is at least sometimes a question of supply disruptions rather than unanchored expectations, then it may be the other way round. Falling short of the employment target may be the error with more lasting consequences. This is a perspective that some FOMC members, particularly Powell and Brainard, were becoming open to prior to the pandemic.

Perhaps even more consequential: if there is a well-defined NAIRU and we have at least a rough idea of what it is, then it makes sense to raise rates in response to a tight labor market, even if there is no sign, yet, of rising inflation. But if we don’t believe in the NAIRU, or at least don’t feel any confidence about its level, then it makes more sense to focus more on actual inflation, and less on the state of the labor market.

By the close of the 2010s, the Fed seemed to be well along the road away from the NAIRU framework. What about today? Was heterodox language on inflation merely a response to the decade of weak demand following the financial crisis, or did it represent a more lasting shift in how the Fed thinks about its mission?

On this question, the evidence is mixed. After inflation picked up in 2022, we did see some shift back to the older language at the Fed. You will not find, in Powell’s recent press conferences, any mention of the longer-term benefits of a tight labor market that he pointed to a few years ago. Hysteresis seems to have vanished from the lexicon. 

On the other hand, the past few years have also not been kind to those who see a tight link between the unemployment rate and inflation. When inflation began rising at the start of 2021, unemployment was still over 6%; two years later, when high inflation was essentially over, unemployment was below 4%. If the Fed had focused on the unemployment rate, it would have gotten inflation wrong both coming and going.

This is reflected in the language of Powell and other FOMC members. One change in central-bank thinking that seems likely to last, is a move away from the headline unemployment rate as a measure of slack. The core of the NAIRU framework is a tight link between labor-market conditions and inflation. But even if one accepts that link conceptually, there’s no reason to think that the official unemployment rate is the best measure of those conditions. In the future, we are likely to see discussion of a broader set of labor-market indicators.

The bigger question is whether the Fed will return to its old worldview where tight labor markets are seen as in themselves an inflationary threat. Or will it stick with its newer, agnostic and data-driven approach, and remain open to the possibility that labor markets can stay much stronger than we are used to, without triggering rising inflation? Will it return to a single-minded focus on inflation, or has there been a permanent shift to giving more independent weight on the full employment target? As we watch the Fed’s actions in coming months, it will be important to pay attention not just to what they do, but to why they say they are doing it.

 

FURTHER THOUGHTS: I really liked the Arbogast et al. paper, for reasons I couldn’t fully do justice to in the space of a column like this.

First of all, in addition to the new empirical stuff, it does an outstanding job laying out the intellectual framework within which the Fed operates. For better or worse, monetary policy is probably more reliant than most things that government does on a consciously  held set of theories.

Second, it highlights — in a way I have also tried to — the ways that hysteresis is not just a secondary detail, but fundamentally undermines the conceptual foundation on which conventional macroeconomic policy operates. The idea that potential output and long-run growth (two sides of the same coin) are determined prior to, and independent of, current (demand-determined) output, is what allows a basically Keynesian short-run framework to coexist with the the long-run growth models that are the core of modern macro. If demand has lasting effects on the laborforce, productivity growth and potential output, then that separation becomes untenable, and the whole Solow apparatus floats off into the ether. In a world of hysteresis, we no longer have a nice hierarchy of “fast” and “slow” variables; arguably there’s no economically meaningful long run at all.1

Arbogast and co don’t put it exactly like this, but they do emphasize that the existence of hysteresis (and even more reverse hysteresis, where an “overheating” economy permanently raises potential) fundamentally undermine the conventional distinction between the short run and the long run.

This leads to one of the central points of the paper, which I wish I’d been able to highlight more: the difference between what they call “epistemological problematization” of the NAIRU, that is doubts about how precisely we can know it and related “natural” parameters; and “ontological problematization,” or doubts that it is a relevant concept for policy at all. At a day to day operational level, the difference may not always be that great; but I think — as do the authors — that it matters a lot for the evolution of policy over longer horizons or in new conditions.

The difference is also important for those of us thinking and writing about the economy. The idea of some kind of “natural” or “structural” parameters, of a deeper model that abstracts from demand and money, deviations from which are both normatively bad and important only in the short term — this is an incubus that we need to dislodge if we want to move toward any realistic theorizing about capitalist economies. It substitutes an imaginary world with none of the properties of the world that matter for most of the questions we are interested — a toy train set to play with instead of trying to solve the very real engineering problems we face.

I appreciate the paper’s concluding agnosticism about how far the Fed has actually moved away form this framework. As I mentioned in the piece, I was struck by their finding that among the past decade’s FOMC members, Powell has moved the furthest away from NAIRU and the rest of it. If nothing else, it vindicates some of my own kind words about him in the runup to his reappointment.2

This is also, finally, an example of what empirical work in economics ought to look like.3 First, it’s frankly descriptive. Second, it asks a question which has a quantitative answer, with substantively interesting variation (across both time and FOMC members, in this case.) As Deirdre McCloskey stressed in her wonderful pamphlet The Secret Sins of Economics, the difference between answers with quantitative and qualitative answers is the difference between progressive social science and … whatever economics is.

What kind of theory would actually contribute to an … inquiry into the world? Obviously, it would be the kind of theory for which actual numbers can conceivably be assigned. If Force equals Mass times Acceleration then you have a potentially quantitative insight into the flight of cannon balls, say. But the qualitative theorems (explicitly advocated in Samuelson’s great work of 1947, and thenceforth proliferating endlessly in the professional journals of academic economics) don’t have any place for actual numbers.

A qualitative question, in empirical work, is a question of the form “are these statistical results consistent or inconsistent with this theoretical claim?” The answer is yes, or no. The specific numbers — coefficients, p-values, and of course the tables of descriptive statistics people rush through on their way to the good stuff — are not important or even meaningful. All that matters is whether the null has been rejected.

McCloskey, insists, correctly in my view, that this kind of work adds nothing to the stock of human knowledge. And I am sorry to say that it is just as common in heterodox work as in the mainstream.

To add to our knowledge of the world, empirical work must, to begin with, tell you something you didn’t know before you did it. “Successfully” confirming your hypothesis obviously fails this test. You already believed it! It also must yield particular factual claims that other people can make use of. In general, this means some number — it means answer a “how much” question and not jsut a “yes or no” question. And it needs to reveal variation in those quantities along some interesting dimension. Since there are no universal constants to uncover in social science, interesting results will always be about how something is bigger, or more important in one time, one country, one industry, etc. than in another. Which means, of course, that the object of any kind of empirical work should be a concrete historical development, something that happened at a specific time and place.

One sign of good empirical work is that there are lots of incidental facts that are revealed along the way, besides the central claim. As Andrew Gelman observed somewhere, in a good visualization, the observations that depart from the relationship you’re illustrating should be as informative as the ones that fit it.

This paper delivers that. Along with the big question of a long term shift, or not, in the Fed’s thinking, you can see other variation that may or may be relevant to the larger question but are interesting facts about the world in their own right. If, for example, you look at the specific examples of language they coded in each category, then a figure like shows lots of interesting fine-grained variation over time.

Also, in passing, I appreciate the fact that they coded the terms themselves and didn’t outsource the job to ChatGPT. I’ve seen a couple papers doing quantitative analysis of text, that use chatbots to classify it. I really hope that does not become the norm!

Anyway, it’s a great paper, which I highly recommend, both for its content and as a model for what useful empirical work in economics should look like.

 

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 usage 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.

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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.

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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.

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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. 

The Natural Rate of Interest?

(A year ago, I mentioned that Arjun Jayadev were writing a book about money. The project was then almost immediately derailed by covid, but we’ve recently picked it up again. I’ve decided to post some of what we’re writing here. Plucked from its context, it may be a bit unclear both where this piece is coming from and where it is going.)

The problem of interest rates is one of the key fissures between the vision of the economy in terms of the exchange of real stuff and and the reality of a web of money payments. Like a flat map laid over a globe, a rigid ideological vision can be made to lie reasonably smoothly over reality in some places only at the cost of ripping or crumpling elsewhere; the interest rate is one of the places that rips in the smooth fabric of economics most often occur. As such, it’s been a central problem since the emergence of economics as a distinct body of thought. How does the “real” rate determined by saving and investment demand get translated into the terms set for the exchange of IOUs between the bank and its customer?

One straightforward resolution to the problem is simply to deny that money plays a role in the determination of the interest rate. David Hume’s central argument in his essay “On Interest” (one of the first discussions within the genealogy of modern economics) was that changes in the supply of money do not affect the interest rate.4 

High interest arises from three circumstances: A great demand for borrowing; little riches to supply that demand; and great profits arising from commerce: And these circumstances are a clear proof of the small advance of commerce and industry, not of the scarcity of gold and silver… Those who have asserted, that the plenty of money was the cause of low interest, seem to have taken a collateral effect for a cause….  though both these effects, plenty of money and low interest, naturally arise from commerce and industry, they are altogether independent of each other. 

“Riches” here means real, material wealth, so this is an early statement of what we would today call the loanable-funds view of interest rates. Similar strong claims have been taken up by some of today’s more doctrinaire classical economists, in the form of what is known as neo-Fisherism. If the “real” rate, in the sense of the interest rate adjusted for inflation, is set by the fundamentals of preferences and technology, then central bank actions must change only the nominal rate. This implies that when the central bank raises the nominal interest rate, that must cause inflation to rise — not to fall, as almost everyone (including the central bankers!) believes. Or as Minneapolis Federal Reserve president Narayana Kocherlakota put it, if we believe that money is neutral, then “over the long run, a low fed funds rate must lead to … deflation.”5 This view is, not surprisingly, also popular among libertarians.

The idea that monetary influences on the interest rate are canceled out by changes in inflation had a superficial logic to it when those influences were imagined as a literal change in the quantity of money — of the relative “scarcity of gold and silver,” as Hume put it. If we imagine expansionary monetary policy as an increase in the fixed stock of money, then it might initially make money more available via loans, but over time as that money was spent, it would lead to a general rise in prices, leaving the real stock of money back where it started. 

But in a world where the central bank, or the private banking system, is setting an interest rate rather than a stock of money, this mechanism no longer works. More money, plus higher prices, leaves the real stock of money unchanged. But low nominal rates, plus a higher rate of inflation, leaves the real interest rate even lower. In a world where there is a fixed, central bank-determined money stock, the inflation caused by over-loose policy will cancel out that policy. But when the central bank is setting an interest rate, the inflation caused by over-loose policy implies an even lower real rate, making  the error even worse. For the real rate to be ultimately unaffected by monetary policy, low interest rates must somehow lead to lower inflation. But it’s never explained how this is supposed to come about. 

Most modern economists are unwilling to outright deny that central banks or the financial system can affect the rate of interest.6 Among other things, the privileged role of the central bank as macroeconomic manager is a key prop of policy orthodoxy, essential to stave off the possibility of other more intrusive forms of intervention. Instead, the disjuncture between the monetary interest rate observable in credit markets and the intertemporal interest rate of theory is papered over by the notion of the “natural” interest rate.

This idea, first formulated around the turn of the 20th century by Swedish economist Knut Wicksell, is that while banks can set any interest rate they want, there is only one interest rate consistent with stable prices and, more broadly, appropriate use of society’s resources. It is this rate, and not necessarily the interest rate that obtains at any given moment, that is set by the nonmonetary fundamentals of the economy, and that corresponds to the intertemporal exchange rate of theory. In the classic formulation of Milton Friedman, the natural rate of interest, with its close cousin the natural rate of unemployment, 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 about job vacancies and labor availabilities, the costs of mobility, and so on.”

The natural rate of interest is exactly the rate that you would calculate from a model of a rational individual trading off present against future — provided that the model was actually a completely different one.

Despite its incoherence, Friedman’s concept of the natural rate has had a decisive influence on economic thinking about interest in the 50 years since. His 1968 Presidential Address to the American Economics Association introducing the concept (from which the quote above comes) has been called “very likely the most influential article ever published in an economics journal” (James Tobin); “the most influential article written in macroeconomics in the past two decades” (Robert Gordon); “one of the decisive intellectual achievements of postwar economics” (Paul Krugman); “easily the most influential paper on macroeconomics published in the post-war era” (Mark Blaug and Robert Skidelsky). 7 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.

To understand the ideological function of R*, it’s useful to look at a couple of typical examples of how it’s used in mediating between the needs of managing a monetary economy and the real-exchange vision through which that economy is  imagined.

A 2018 speech by Fed Chair Jerome Powell is a nice example of how monetary policy practitioners think of the natural rate. He  introduces the idea of R* with the statement that “In conventional models of the economy, major economic quantities such as inflation, unemployment, and the growth rate of gross domestic product (GDP) fluctuate around values that are considered ‘normal,’ or ‘natural,’ or ‘desired.’” The slippage between the three last quoted terms is a ubiquitous and essential feature of discussions of R*. 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 fracturing from the stress. The ambiguity between these meanings is itself normal, natural and desired.

In a monetary policy context, Powell continues, these values are operationalized as “views on the longer-run normal values for the growth rate of GDP, the unemployment rate, and the federal funds rate.” Powell immediately glosses this as  “fundamental structural features of the economy …  such as the ‘natural rate of unemployment’.” Here again, we see a move from something that is expected to be true on average, to something that is a “fundamental structural feature” presumably linked to things like technology and demographics, and then to the term “natural”, which implies that these fundamental structures are produced by some quite different process than the network of money payments managed by the Fed. The term “natural” of course also implies beyond human control, and indeed, Powell says that these values “are not … chosen by anyone”. In the conventions of modeling, such natural, neutral, long-run, unchosen values are denoted with stars, so along with R* there is U* and a bevy of starred Greek letters. 

Powell, to be fair, goes on to talk about how difficult it is to navigate by these stars in practice, and criticizes his predecessors who were too quick to raise interest rates based on hazy, imprecise ideas of the natural rate of unemployment. But there’s a difference between saying the stars are hard to see, and that they are not there at all. He has not (or, plausibly, assumes his audience has not) escaped the scholastic and tautological habit of interpreting any failure of interest rate changes to deliver the expected result as a sign that the natural rate was different than expected.

It is, of course true, that if there is any stable relationship between the policy rate controlled by the Fed and a target like GDP or unemployment, then at any particular moment there is presumably some interest rate which would move that target to its desired level. But the fact that an action can produce a desired result doesn’t make it “natural” in any sense, or an unchanging structural feature of the world.

Powell, a non-economist, doesn’t make any particular effort to associate his normal or natural values with any particular theoretical model. But the normal and natural next step is to identify “fundamental structural features” of the world with the parameters of a non monetary model of real exchange among rational agents. Indeed, in the world of macroeconomics theory, that is what “deep structural parameters” mean. In the usage of Robert Lucas and his followers, which has come to dominate academic macroeconomics, structural parameters are those that describe the rational choices of agents based only on their preferences and the given, objective production function describing the economy. There’s no reason to think Powell has this narrower meaning in mind, but it’s precisely the possibility of mapping these meanings onto each other that allows the “natural rate” and its cousins to perform their ideological role.

For an example of that next step, let’s turn to a recent report from the Centre for Economic Policy Research, which assembles work by leading European macroeconomists. As with Powell’s speech, the ideological understanding of the natural rate is especially striking here because much of the substantive policy argument being made is so reasonable — fiscal policy is important, raising interest rates makes public debt problems worse, the turn to austerity after great financial crisis was a mistake. 

The CEPR economists begin with the key catechism of the real-exchange view of interest: “At its most basic level, the interest rate is the ‘price of time’ — the remuneration for postponing spending into the future.” R*, in other words, is a rate of interest determined by purely non monetary factors — it should be unaffected by developments in the financial system. This non monetary rate, 

while unobservable … provides a useful guidepost for monetary policy as it captures the level of the interest rate at which monetary policy can be considered neutral … when the economy runs below potential, pushing actual real policy rates sufficiently below R* makes policy expansionary. 

The notion of an unobservable guidepost doesn’t seem to have given the CEPR authors any pause, but it perfectly distills the contradiction embodied in the idea of R*. Yes, we can write down a model in which everyone has a known income over all future time, and with no liquidity constraints can freely trade future against present income without the need for specialized intermediaries. And we can then ask, given various parameters, what the going rate would be when trading goods at some future date for the same goods today. But given that we live in a world where the future is uncertain, where liquidity constraints are ubiquitous, and where a huge specialized financial system exists to overcome them, how do we pick one such model and say that it somehow corresponds to the real world?

And even if we somehow picked one, why would the intertemporal exchange rate in that world be informative for the appropriate level of interest rates in our own, given that the model abstracts away from the features that make monetary policy necessary and possible in the first place? In the world of the natural rate, there is no possibility for the economy to ever “run below potential” (or above it). Nor would there be any way for a single institution like a central bank to simultaneously change the terms of all those myriad private exchanges of present for future goods. 

Michael Woodford, whose widely-used graduate textbook Interest and Prices is perhaps the most influential statement of this way of thinking about monetary policy is, unusually, at least conscious of this problem. He notes that most accounts of monetary policy treat it as if the central bank is simply able to fix the price of all loan transactions, but it’s not clear how it does this or where it gets the power to do so. His answers to this question are not very satisfactory. But at least he sees the problem; the vast majority of people using this framework breeze right past it.

The CEPR writers, for instance, arrive at a definition of the natural rate as 

the real rate of interest that, averaged over the business cycle, balances the supply and demand of loanable funds, while keeping aggregate demand in line with potential output to prevent undue inflationary or deflationary pressure.

This definition simply jams together the intertemporal “interest rate” of the imagined non monetary world, with the interest rate target for monetary policy, without establishing any actual link between them. (Here again we see the natural rate as the clutch between theory and policy.) “Loanable funds” are supposed to be the real goods that their owners don’t currently want, which they agree to let someone else use.  The “while” conjunction suggests that clearing the loanable-funds market and price stability are two different criteria — that there could in principle be an interest rate that keep output at potential and inflation on target, but failed to clear the market for loanable funds. But what could this mean? Are there any observable facts about the world that would lead a central bank to conclude “the policy rate we have chosen seems to be consistent with price stability, but the supply and demand for loanable funds are not balanced”? Where would this imbalance show up? The operational meaning of the natural rate is that any rate associated with the macroeconomic outcomes sought by the central bank is, by definition, the “natural” one. And as Keynes long ago pointed out — it is a key argument of The General Theory  — the market for loanable funds always clears. There is no need for a market price balancing investment and saving, because any change in investment mechanically produces an exactly equal change in saving.

In practice, the natural rate means just this: We, the central bank, have set the interest rate under our control at a level that we hope will lead to our preferred outcomes for GDP, inflation, the unemployment rate, etc. Also, we can imagine a world in which rational agents trade present goods for future goods. Since in some such world the exchange rate between present and future goods would be the same as the policy rate we have chosen, our choice must be the optimal one.