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.”

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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.

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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. 

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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. 

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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.

*

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. 

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.

 

Corporate cashflows, 1960-2016

Here is some background on the investment question from the previous post, and related topics.

I’ve been fooling around recently with assembling a comprehensive account of sources and uses of funds for the US corporate sector from the Integrated Macroeconomic Accounts (IMA). (It’s much easier to do this with the IMAs than by combining the NIPAs with the financial accounts from the Fed.) The goal is a comprehensive account of flows of money into and out of the corporate sector, grouped in a sensible way.

My goal here is not to make any specific argument, but to provide context for a bunch of different arguments about the finances of US businesses. I think this an important thing to do – both mainstream and heterodox people tend to make claims about specific sets of flows in specific periods, but it’s important to start from the overall picture. Otherwise you don’t know what questions it makes sense to ask. It’s also important to give a complete set of flows, for the same reasons and also to check that one’s claims are logically coherent. Needless to say, you also have to measure everything consistently.

Some people do do this, of course — the social accounting matrices of Lance Taylor and company are the best versions I know of. But it’s relatively rare.

The IMAs are a fairly new set of national accounts, motivated by two goals. First, to combine the “real” flows tracked by the BEA with the financial flows and balance-sheet positions tracked by the Fed into a single, consistent set of accounts; and second, to produce a set of US accounts that conform to the System of National Accounts (SNA) followed by most of the rest of the world. (The SNAs are sort of the metric system of national accounts.) The first goal is more completely realized than the second – there are some important differences between the IMAs and SNAs. For our purposes, the most important one is the definition of the corporate sector.  In the SNAs corporate businesses include, broadly, any enterprise staffed mainly by wage workers that produces goods and services for sale; this includes closely-held firms, government-owned enterprises, and many nonprofits. In the IMAs, the corporate sector is based on tax status, and so excludes partnerships and small family businesses, nonprofits, and government enterprises.

The nonfinancial corporate sector on the IMA definition accounts for roughly 50 percent of US value-added. [1] I think there are good reasons to focus on this 50 percent. This is where most important productive activity takes place, and where essentially all the profit that economic life is organized around is generated. It’s also the sector where the conceptual categories of economics best correspond to observables. We don’t directly see output in public sector or nonprofits, don’t directly see wages and profits in noncorporate sector, we don’t see either in the household sector. Finance of course has its own issues.

In any case! Figure 1 shows the corporate sector’s share of value added since 1960.

Figure 1

 

I am not sure what substantive significance, if any, most of the movements in this figure have. Some large part, perhaps most, of them reflect definitional or measurement factors rather than any change in concrete economic activity. That said, the secular rise in finance as well as government does, I think, reflect changes in what people do all day. The only one of these lines that definitely means what it seems, is the long-run rise in government – given the way the accounts are constructed, there must be a corresponding rise in the share of public sector employment. The household sector line basically reflects changes in the weight of spending associated with owner-occupied housing – the nonprofit piece of this is fairly stable over time. The fall and rise in the noncorporate business sector may also reflect the changing weight of real estate – where noncorporate forms are common – and independent-contractor arrangements. But it may also reflect shifts in legal forms and/or BEA imputations, that don’t involve any substantive change in productive activity.

Nonetheless this figure is important — less for what it tells us about economic substance than for what it tells us about economic data. Any series that exclusively or disproportionately draws from the corporate sector (nonresidential investment is an obvious and important case) will be scaled by that top line. And any discussion of factor shares needs to take into account the change in the shares of sectors where wages and/or profits are not directly observed.

Figure 2 is the real point of this post. It’s my broadest summary of sources and uses of funds in the corporate sector. All are measured as a share of total corporate value added. The same data is shown in the table at the end.

Figure 2

 

I’ve organized this in a somewhat nonstandard way, but which I think is appropriate for the questions we are most interested in. The vertical scale is fraction of corporate value-added, or output. The heavy black line shows the share of output available to corporate managers. Above the line are three deductions from value-added: first, wages and other compensation of labor; second, in gray, taxes, including both taxes on production and corporate income taxes; and third, the narrow white band, net payments to the financial system. This last is interest and other property payments, less interest, dividends and other property payments received. These are the three categories of payments that are effectively imposed on corporations from outside. [2] The area below this line is the internal funds at the disposal of management – what’s often referred to as corporate cashflow.

In red are two main uses of funds by corporate managers. The bottom red area is investment. Above this is payouts — first dividends, and then the top red area, net share repurchases. This latter includes both repurchases in the strict sense and shares retired through cash mergers and acquisitions – aggregate data combines them. The difference between the black line and the red line is net financial saving by the corporate sector. Where the heavy black line is above the top red line, the corporate sector is a net lender in financial markets – its acquisitions of financial assets are greater than the new debt it is incurring. Where the red line is above the black line, as it usually is, the corporate sector is a net borrower – its new debt is greater than its acquisition of financial assets.

Finally, the dotted black line shows reported depreciation. (Consumption of fixed capital in the jargon of the accounts.) This is not actually a source or use of funds. And there are serious conceptual and measurement issues with defining it – so much so that, in my view, it’s probably not a usable category for describing real world economies. Nonetheless, it is necessary to define some other terms that play a big part in these discussions. Most importantly, profits can be regarded as the difference between cashflow and depreciation. [3] And net investment is the difference between investment and depreciation.

The same items are presented in the table at the end of the post, for three periods and for the most recent full year available.

As I discuss below, some terms are grouped here differently from the way they are presented in the IMAs. Obviously, how exactly we aggregate is open to debate, and the pros and cons of different choices will depend on the questions we are trying to answer. But I think some picture like this has to be the starting point for any kind of historical discussion of the US economy.

So what do we see?

First, the labor share (i.e. labor costs as a percent of value added) is quite stable around 63-64 percent of value added between 1960 and 2000. It only begins falling in 2002 or so, dropping about 4 points in the early 2000s and another 3 points in the wake of the Great Recession, with a modest recovery in the past couple years. This timing is quite different from the impression most people have — what you’d get from straightforwardly looking at the wage share of GDP — of a steady long-term decline from the 1970s.

There are two reasons for this difference. First, during the 1970s and 1980s, the non-wage share of labor costs (mainly health benefits) rose quite a bit, from around 5 percent to around 10 percent of total compensation. This explains why labor cost growth did not slow during this period, even though wage growth did slow. Since healthcare prices were rising quite a bit faster than overall prices during this period, the rising share of health benefits in compensation also meant that the cost of labor to employers was also rising faster than the value of compensation to workers. [4] This factor becomes less important after the early 1990s, when the non-wage share of labor compensation flatted out.

Second, the labor share in the corporate sector is quite a bit higher than the labor share in finance and noncorporate businesses — the two sectors whose share of GDP has increased in recent decades. This means that even if there were no change in factor shares within each sector, the labor share for the economy as a whole would fall. Again, I don’t know how much of the difference in factor shares between sectors is a measurement issue, how much it reflects shifting legal forms of organization of the same kinds of activities, and how much it reflects real differences in how claims on the social product are exercised. But either way, it’s important to understand that a large part of the observed fall in the labor share over the past generation is explained, at least in an accounting sense, by this shift between sectors.

Moving on to taxes, there is also a substantial fall in this claim on corporate value-added, from 16 percent in 1960 to around 11 percent today.  But here, the decrease comes earlier, in the 1960s and 1970s – the tax share has hardly changed since 1980. (I suspect that if this figure were extended to earlier dates, there would be a large fall in the tax share in the 1950s as well.) This means that after-tax profits show a more steady long-term rise than do pre-tax profits.

I should note that “taxes” here combines two items from the IMAs — taxes on production, and taxes on profits. In the national accounts, there are good reasons to separate these — taxes on production enter into the cost of output and so have to be treated as a factor payment, while taxes on profits are not part of costs and so are treated as a transfer. This distinction is critical if we are going to calculate GDP in a consistent way, but for substantive questions it’s not so important. To government, managers and other economic actors, taxes are all mandatory payments from the corporation to the state, however they are assessed.

After taxes comes net financial payments. As defined here, this is interest, rent and net current transfers, less interest, rent and dividends received. In other words, it is net payments on the corporate sector’s existing financial assets and liabilities.  It’s represented on the figure by the white space between the thin black line and the thick black line. The first thing to notice about these net payments by corporations is that they are almost always positive and never significantly negative. In other words, over the past 56 years the corporate sector as a whole has never received more income from its financial assets than it has paid on its financial liabilities. You can see that the largest share of corporate value-added going to financial payments came in the high-interest 1980s; in most other periods the balance has been close to zero.

I’ll come back to this in a later post – a next step in this project should be precisely to unpack that white section. But the fact that the net financial income of the corporate sector is small, never positive, and shows no significant trend over time, is already enough to reject one popular story about financialization, at least in its most straightforward form. It is simply not the case that nonfinancial corporations in the aggregate have turned themselves into hedge funds – have replaced profits from operations with income from financial assets. The Greta Krippner article that seems to be  the most influential version of this claim is a perfect example of the dangers of focusing on one piece of the cashflow picture in isolation. [5] She looks at financial income received by corporations but ignores financial payments made by corporations (mostly interest in both cases). So as shown in Figure 3, she mistakes a general rise in interest rates for a change in the activities of nonfinancial businesses.

Figure 3. Because she focuses on the heavy black segment in isolation, Krippner mistakes a period of high interest rates for a reorientation of nonfinancial corporations to financial profits.

 

Returning to Figure 2: After subtracting labor costs, taxes and interest and other financial claims, we are left with the heavy red line — the share of value added available as cashflow to corporate managers. This rises from 20 percent in the 1960s to as high as 25 percent in the 1990s, to around 30 percent today. This increase in the corporate profit share (gross of depreciation, net of taxes) is one of the central facts of modern US macroeconomic history.

In the broadest terms, corporations can use cashflow in three ways. They can invest it in order to maintain or grow the business; they can distribute it to shareholders; or they can retain it for later use in some financial form. This last use can be, and often is, negative, if investment and payouts are together greater than cashflow.

Investment here includes gross capital formation, defined in the national accounts as spending on durable equipment, structures, software, research and development, and the creation of intellectual property. (The last two items have been included in the national-accounts measure of investment only since 2013.) It also includes the change in private inventories and spending on nonproduced durable assets, which I assume is almost all land. This item is listed separately in the IMAs, and it’s not obvious how to handle it: Corporate purchases of land have different macroeconomic implications than spending on new means of production, but from the point of view of the people making the investment decision there’s no major difference between money spent on a building and money spent for the land it sits on. This item is generally very small — well below 1 percent of total investment — but, like inventories, it’s highly cyclical and so plays a disproportionate role in short-run fluctuations. About a tenth of the fall in investment between 2008 and 2010, for example, was in nonproduced assets.

Somewhat surprisingly, there is no downward trend in the investment share. It was 17 percent of value added in the 1960s and 1970s, versus over 18 percent in this decade, and 19 percent in the third quarter of 2017 (the most recent available).

If investment today is, if anything, historically high as a share of corporate output, why have so many people (including me!) been arguing that weak investment is a problem? There are several reasons, though perhaps none are entirely convincing.

First, as I pointed out in the previous post, in recent years there has been an unusual divergence between investment in the corporate sector and investment in the economy as a whole. Residential investment by households remains very low by historical standards; nonresidential investment by noncorporate businesses is also low. At the same time, financial and especially noncoporate businesses always invest at lower rates than nonfinancial corporations, so the rising share of these sectors leads to lower overall investment. Second, the recovery in corporate investment is relatively recent – things looked different a few years ago. Nonfinancial corporations’ investment share fell extremely sharply in 2009, to its lowest level in 45 years, and took several years to bounce back. So when we were discussing this stuff three or four years ago, the picture looked more like a secular decline. Third — and probably most relevant for my work — while investment is relatively high as a share of corporate value added, it is quite low as a share of profits or cashflow. There is a genuine puzzle of weak investment, as long as we don’t ask “why are corporations investing less?”, but instead ask “why haven’t high profits led corporations to invest more?” Fourth, there has been a large increase in reported depreciation — from around 10 percent of value added in the 1960s to around 15 percent today. While I think for a number of reasons that this number is not really meaningful, if you take it seriously, it means that while gross investment has risen slightly, net investment has fallen a lot, to about half its level in the 1960s and 70s. Finally, if you take a strong Keynesian or Kaleckian view that it’s business investment that drives shifts in demand, then the ratios shown here are not informative about the strength or weakness of investment. The ratio of investment to output, in this view, only tells us about the size of the multiplier. To assess the strength or weakness of investment, we should instead look at the absolute increase in investment over the business cycle, which — while it’s picked up a bit in the past year — is still quite low by historical standards. I’ve made this argument myself, but I wouldn’t want to push it too far — investment is not the only source of autonomous demand.

Moving on in Figure 2: Above investment is payouts – first dividends, then net share repurchases. Here we see what you’d expect: These flows have gone up a lot. Dividends have doubled from 4.5 percent of value added in the 1960s and 1970s to 9 percent today, while net repurchases have gone from less than nothing to 6 percent (and as high as 10 percent in the 2000s.) Measured as a share of corporate cashflow rather than value added, dividends have remained stable at around 50 percent. Retained earnings as conventionally defined — profits minus dividends — have also been roughly stable as a share of value added.

Including net share repurchases with dividends is the biggest way my presentation here departs from the format of the IMAs. There, net share issuance is classed as an addition to liabilities, just like issuance of new debt. Net repurchases are the same as negative issuance — the equivalent, in the IMA framework, of paying back loans. The difference, of course, is that share repurchases have no effect on the balance sheet. This is the fundamental reason I think it makes sense to group repurchases with dividends. The flow of dividend payments is not affected by the number of shares outstanding. [6] It’s also important that market participants clearly perceive share repurchases as equivalent to dividend payments. If you read the financial press, dividends and buybacks are always treated as two forms of shareholder payouts.

Personally, I don’t have any doubts that this is the right way to look at it — today. But this is a good example of how the relations between economic and accounting categories are always somewhat slippery and can change over time. Whether net share issuance should be classed with dividends (and interest payments, etc.) as a current transfer, as I do, or whether it should be considered a financing transaction, where the standard IMA presentation puts it, depends on the way these transactions are actually used – it can’t be answered a priori. Again, I think it’s reasonably clear that, given their use today, net stock repurchases should be grouped with dividends. But in the 1950s or 1960s, treating them as financing made more sense. Also, this adjustment needs to be made consistently. If we are going to count repurchases as dividends, we have to subtract them from the headline measures of retained earnings and corporate saving. We will probably want to make an equivalent adjustment to the accounts of other sectors as well, though this poses its own set of challenges.

Another thing to consider is that we see negative issuance not only when corporations repurchase their own shares, but when shares are purchased for cash as part of mergers and acquisitions. This is not necessarily a problem. If we are just adding up payments for the sector as a whole, the two sets of flows are equivalent. On a more concrete behavioral or policy level there are important differences, but we’ll pass over those for now.

If we look at dividends alone, 2016 saw them at their highest share of corporate value-added, of profits and of cashflow since the IMAs begin in 1960; and almost certainly since the 1920s. If we measure payouts as dividends plus net share repurchases, then 2016 levels were still a bit short of the peak in the mid-2000s. Share repurchases have been a bit lower (around 5 percent of value added) in 2017 than 2016; unfortunately, the quarterly IMAs don’t have dividend data, but the financial accounts suggest that dividends have declined somewhat as well. It seems that the 2-point decline in the profit share since its 2014 peak is now beginning to be reflected in payouts to shareholders. By comparison with any period before the mid-2000s, payouts are still very high. Still, their decline over the past year seems significant – though maybe the tax bill will give them a second wind.

The final item in Figure 2 is the space between the heavy red line and heavy black line. This shows the financing gap – the net financial borrowing (if positive, with the red line above the black line) or lending (if negative) by the corporate sector. In my opinion this is a much more relevant number than corporate saving as conventionally defined. As the figure shows, nonfinancial corporations are normally net borrowers in financial markets; the brief periods of net lending are all associated with deep recessions. As the figure also makes clear, however, this specific interpretation is quite sensitive to counting share repurchases as payouts. If net equity issuance is treated as a form of financing, then the aggregate corporate sector has been mostly close to a zero balance in financial markets and has more recently been a substantial net lender. On the other hand, if we think of this gap as showing the net credit-market borrowing by the nonfinancial corporate sector — as it more or less is — then the conclusion holds regardless of how you treat stock buybacks. Either way, by this measure the recent expansion is not exceptional: As of 2016 credit-market borrowing by the corporate sector was still smaller, as a share of value-added, than it was at the high points of the 1980s, 1990s or 2000s.

The same results are shown below for three periods and for the most recent year. I won’t recap the table, it’s the same stories as above. Just to be clear, the values are the averages for the periods shown for the flows listed in the second column. So for instance labor costs accounted for an average of 63 percent of corporate value-added during 1960-1979. The first column just shows the accounting relationships between the flows.

Flow 1960-1979 1980-1999 2000-2015 2016
100 – (A) Labor costs 63 64 60 59
(B) Taxes 15 12 12 12
(C) Net financial payments 1 2 1 1
= (D) Internal funds (cashflow) 21 22 27 29
(E) Dividends 5 5 7 9
+ (F) Net share repurchases -1 2 4 6
= (G) Payouts 4 7 11 15
(H) Investment 17 18 18 18
(J) Depreciation 10 13 15 15
= (K) Net investment 7 5 4 3
(G) + (H) – (D) = (I) Financing gap 0 3 2 5
(D) – (J) = (L) Profits 11 9 13 14

What do we take from all this? Again, my goal here was not to make any particular substantive claim, but to lay out some essential context for more specific arguments about corporate finances that I’ll make in the future. But it is interesting, isn’t it?

 

 

[1] Value-added is the difference between sales and the cost of material inputs. It’s the best way to measure the output of various sectors. For the economy as a whole, total value-added is identically equal to GDP.

[2] Of course corporations have some control over their wage, tax and debt-service payments. But these are not mainly decision variables for corporate management in the same way that investment and shareholder payouts are. Or at least I think it’s reasonable to so regard them.

[3] Whether they are exactly this value or only approximately depends on the profits concept being used. In any case, it’s important to keep in mind that the values of depreciation used by corporations for reporting profits to financial markets and to the tax authorities, may be quite different from the depreciation reported in the national accounts.

[4] The different behavior of prices of workers’ consumption basket and of output in general was the subject of the first substantive post on this blog, seven years ago. It’s an important topic!

[5] While I don’t agree with the claims in this article, I’m a big admirer of Krippner’s other work.

[6] The big exceptions, of course, are cases that involve all of a given corporation’s shares — IPOs and transactions that take a company private. These do respectively create and extinguish dividend flows. For this reason, when using micro data, it may make sense to use gross rather than net repurchases; but this isn’t possible with the IMA data. IPOs however are a quite small part of the overall net issuance/repurchase of shares, and I am pretty sure that firms going private are as well. Private equity might create some more serious issues here — this is something I’d like to understand better. On the other hand, the advantage of using net rather than gross repurchases is that it eliminates repurchases that are simply compensating for stock issued as part of compensation packages.