Tag: the money view

“Monetary Policy in a Changing World”

While looking for something else, I came across this 1956 article on monetary policy by Erwin Miller. It’s a fascinating read, especially in light of current discussions about, well, monetary policy in a changing world. Reading the article was yet another reminder that, in many ways, debates about central banking were more sophisticated and far-reaching in the 1950s than they are today.

The recent discussions have been focused mainly on what the goals or targets of monetary policy should be. While the rethinking there is welcome — higher wages are not a reliable sign of rising inflation; there are good reasons to accept above-target inflation, if it developed — the tool the Fed is supposed to be using to hit these targets is the overnight interest rate faced by banks, just as it’s been for decades. The mechanism by which this tool works is basically taken for granted — economy-wide interest rates move with the rate set by the Fed, and economic activity reliably responds to changes in these interest rates. If this tool has been ineffective recently, that’s just about the special conditions of the zero lower bound. Still largely off limits are the ideas that, when effective, monetary policy affects income distribution and the composition of output and not just its level, and that, to be effective, monetary policy must actively direct the flow of credit within the economy and not just control the overall level of liquidity.

Miller is asking a more fundamental question: What are the institutional requirements for monetary policy to be effective at all? His answer is that conventional monetary policy makes sense in a world of competitive small businesses and small government, but that different tools are called for in a world of large corporations and where the public sector accounts for a substantial part of economic activity. It’s striking that the assumptions he already thought were outmoded in the 1950s still guide most discussions of macroeconomic policy today.1

From his point of view, relying on the interest rate as the main tool of macroeconomic management is just an unthinking holdover from the past — the “normal” world of the 1920s — without regard for the changed environment that would favor other approaches. It’s just the same today — with the one difference that you’ll no longer find these arguments in the Quarterly Journal of Economics.2

Rather than resort unimaginatively to traditional devices whose heyday was one with a far different institutional environment, authorities should seek newer solutions better in harmony with the current economic ‘facts of life.’ These newer solutions include, among others, real estate credit control, consumer credit control, and security reserve requirements…, all of which … restrain the volume of credit available in the private sector of the economy.

Miller has several criticisms of conventional monetary policy, or as he calls it, “flexible interest rate policies” — the implicit alternative being the wartime policy of holding key rates fixed. One straightforward criticism is that changing interest rates is itself a form of macroeconomic instability. Indeed, insofar as both interest rates and inflation describe the terms on which present goods trade for future goods, it’s not obvious why stable inflation should be a higher priority than stable interest rates.

A second, more practical problem is that to the extent that a large part of outstanding debt is owed by the public sector, the income effects of interest rate changes will become more important than the price effects. In a world of large public debts, conventional monetary policy will affect mainly the flow of interest payments on existing debt rather than new borrowing. Or as Miller puts it,

If government is compelled to borrow on a large scale for such reasons of social policy — i.e., if the expenditure programs are regarded as of such compelling social importance that they cannot be postponed merely for monetary considerations — then it would appear illogical to raise interest rates against government, the preponderant borrower, in order to restrict credit in the private sphere.

Arguably, this consideration applied more strongly in the 1950s, when government accounted for the majority of all debt outstanding; but even today governments (federal plus state and local) accounts for over a third of total US debt. And the same argument goes for many forms of private debt as well.

As a corollary to this argument — and my MMT friends will like this — Miller notes that a large fraction of federal debt is held by commercial banks, whose liabilities in turn serve as money. This two-step process is, in some sense, equivalent to simply having the government issue the money — except that the private banks get paid interest along the way. Why would inflation call for an increase in this subsidy?

Miller:

The continued existence of a large amount of that bank-held debt may be viewed as a sop to convention, a sophisticated device to issue needed money without appearing to do so. However, it is a device which requires that a subsidy (i.e., interest) be paid the banks to issue this money. It may therefore be argued that the government should redeem these bonds by an issue of paper money (or by an issue of debt to the central bank in exchange for deposit credit). … The upshot would be the removal of the governmental subsidy to banks for performing a function (i.e., creation of money) which constitutionally is the responsibility of the federal government.

Finance franchise, anyone?

This argument, I’m sorry to say, does not really work today — only a small fraction of federal debt is now owned by commercial banks, and there’s no longer a link, if there ever was, between their holdings of federal debt and the amount of money they create by lending. There are still good arguments for a public payments system, but they have to be made on other grounds.

The biggest argument against using a single interest rate as the main tool of macroeconomic management is that it doesn’t work very well. The interesting thing about this article is that Miller doesn’t spend much time on this point. He assumes his readers will already be skeptical:

There remains the question of the effectiveness of interest rates as a deterrent to potential private borrowing. The major arguments for each side of this issue are thoroughly familiar and surely demonstrate most serious doubt concerning that effectiveness.

Among other reasons, interest is a small part of overall cost for most business activity. And in any situation where macroeconomic stabilization is needed, it’s likely that expected returns will be moving for other reasons much faster than a change in interest rates can compensate for. Keynes says the same thing in the General Theory, though Miller doesn’t mention it.3 (Maybe in 1956 there wasn’t any need to.)

Because the direct link between interest rates and activity is so weak, Miller notes, more sophisticated defenders of the central bank’s stabilization role argue that it’s not so much a direct link between interest rates and activity as the effect of changes in the policy rate on banks’ lending decisions. These arguments “skillfully shift the points of emphasis … to show how even modest changes in interest rates can bring about significant credit control effects.”

Here Miller is responding to arguments made by a line of Fed-associated economists from his contemporary Robert Roosa through Ben Bernanke. The essence of these arguments is that the main effect of interest rate changes is not on the demand for credit but on the supply. Banks famously lend long and borrow short, so a bank’s lending decisions today must take into account financing conditions in the future. 4 A key piece of this argument — which makes it an improvement on orthodoxy, even if Miller is ultimately right to reject it — is that the effect of monetary policy can’t be reduced to a regular mathematical relationship, like the interest-output semi-elasticity of around 1 found in contemporary forecasting models. Rather, the effect of policy changes today depend on their effects on beliefs about policy tomorrow.

There’s a family resemblance here to modern ideas about forward guidance — though people like Roosa understood that managing market expectations was a trickier thing than just announcing a future policy. But even if one granted the effectiveness of this approach, an instrument that depends on changing beliefs about the long-term future is obviously unsuitable for managing transitory booms and busts.

A related point is that insofar as rising rates make it harder for banks to finance their existing positions, there is a chance this will create enough distress that the Fed will have to intervene — which will, of course, have the effect of making credit more available again. Once the focus shifts from the interest rate to credit conditions, there is no sharp line between the Fed’s monetary policy and lender of last resort roles.

A further criticism of conventional monetary policy is that it disproportionately impacts more interest-sensitive or liquidity-constrained sectors and units. Defenders of conventional monetary policy claim (or more often tacitly assume) that it affects all economic activity equally. The supposedly uniform effect of monetary policy is both supposed to make it an effective tool for macroeconomic management, and helps resolve the ideological tension between the need for such management and the belief in a self-regulating market economy. But of course the effect is not uniform. This is both because debtors and creditors are different, and because interest makes up a different share of the cost of different goods and services.

In particular, investment, especially investment in housing and other structures, is mo sensitive to interest and liquidity conditions than current production. Or as Miller puts it, “Interest rate flexibility uses instability of one variety to fight instability of a presumably more serious variety: the instability of the loanable funds price-level and of capital values is employed in an attempt to check commodity price-level and employment instability.” (emphasis added)

The point that interest rate changes, and monetary conditions generally, change the relative price of capital goods and consumption goods is important. Like much of Miller’s argument, it’s an unacknowledged borrowing from Keynes; more strikingly, it’s an anticipation of Minsky’s famous “two price” model, where the relative price of capital goods and current output is given a central role in explaining macroeconomic dynamics.

If we take a step back, of course, it’s obvious that some goods are more illiquid than others, and that liquidity conditions, or the availability of financing, will matter more for production of these goods than for the more immediately saleable ones. Which is one reason that it makes no sense to think that money is ever “neutral.”5

Miller continues:

In inflation, e.g., employment of interest rate flexibility would have as a consequence the spreading of windfall capital losses on security transactions, the impairment of capital values generally, the raising of interest costs of governmental units at all levels, the reduction in the liquidity of individuals and institutions in random fashion without regard for their underlying characteristics, the jeopardizing of the orderly completion of financing plans of nonfederal governmental units, and the spreading of fear and uncertainty generally.

Some businesses have large debts; when interest rates rise, their earnings fall relative to businesses that happen to have less debt. Some businesses depend on external finance for investment; when interest rates rise, their costs rise relative to businesses that are able to finance investment internally. In some industries, like residential construction, interest is a big part of overall costs; when interest rates rise, these industries will shrink relative to ones that don’t finance their current operations.

In all these ways, monetary policy is a form of central planning, redirecting activity from some units and sectors to other units and sectors. It’s just a concealed, and in large part for that reason crude and clumsy, form of planning.

Or as Miller puts it, conventional monetary policy

discriminates between those who have equity funds for purchases and those who must borrow to make similar purchases. … In so far as general restrictive action successfully reduces the volume of credit in use, some of those businesses and individuals dependent on bank credit are excluded from purchase marts, while no direct restraint is placed on those capable of financing themselves.

In an earlier era, Miller suggests, most borrowing was for business investment; most investment was externally financed; and business cycles were driven by fluctuations in investment. So there was a certain logic to focusing on interest rates as a tool of stabilization. Honestly, I’m not sure if that was ever true.But I certainly agree that by the 1950s — let alone today — it was not.

In a footnote, Miller offers a more compelling version of this story, attributing to the British economist R. S. Sayers the idea of

sensitive points in an economy. [Sayers] suggests that in the English economy mercantile credit in the middle decades of the nineteenth century and foreign lending in the later decades of that century were very sensitive spots and that the bank rate technique was particularly effective owing to its impact upon them. He then suggests that perhaps these sensitive points have given way to newer ones, namely, stock exchange speculation and consumer credit. Hence he concludes that central bank instruments should be employed which are designed to control these newer sensitive areas.

This, to me, is a remarkably sophisticated view of how we should think about monetary policy and credit conditions. It’s not an economywide increase or decrease in activity, which can be imagined as a representative household shifting their consumption over time; it’s a response of whatever specific sectors or activities are most dependent on credit markets, which will be different in different times and places. Which suggests that a useful education on monetary policy requires less calculus and more history and sociology.

Finally, we get to Miller’s own proposals. In part, these are for selective credit controls — direct limits on the volume of specific kinds of lending are likely to be more effective at reining in inflationary pressures, with less collateral damage. Yes, these kinds of direct controls pick winners and losers — no more than conventional policy does, just more visibly. As Miller notes, credit controls imposed for macroeconomic stabilization wouldn’t be qualitatively different from the various regulations on credit that are already imposed for other purposes — tho admittedly that argument probably went further in a time when private credit was tightly regulated than in the permanent financial Purge we live in today.

His other proposal is for comprehensive security reserve requirements — in effect generalizing the limits on bank lending to financial positions of all kinds. The logic of this idea is clear, but I’m not convinced — certainly I wouldn’t propose it today. I think when you have the kind of massive, complex financial system we have today, rules that have to be applied in detail, at the transaction level, are very hard to make effective. It’s better to focus regulation on the strategic high ground — but please don’t ask me where that is!

More fundamentally, I think the best route to limiting the power of finance is for the public sector itself to take over functions private finance currently provides, as with a public payments system, a public investment banks, etc. This also has the important advantage of supporting broader steps toward an economy built around human needs rather than private profit. And it’s the direction that, grudgingly but steadily, the response to various crises is already pushing us, with the Fed and other authorities reluctantly stepping in to perform various functions that the private financial system fails to. But this is a topic for another time.

Miller himself is rather tentative in his positive proposals. And he forthrightly admits that they are “like all credit control instruments, likely to be far more effective in controlling inflationary situations than in stimulating revival from a depressed condition.” This should be obvious — even Ronald Reagan knew you can’t push on a string. This basic asymmetry is one of the many everyday insights that was lost somewhere in the development of modern macro.

The conversation around monetary policy and macroeconomics is certainly broader and more realistic today than it was 15 or 20 years ago, when I started studying this stuff. And Jerome Powell — and even more the activists and advocates who’ve been shouting at him — deserves credit for the Fed;s tentative moves away from the reflexive fear of full employment that has governed monetary policy for so long. But when you take a longer look and compare today’s debates to earlier decades, it’s hard not to feel that we’re still living in the Dark Ages of macroeconomics

Utz-Pieter Reich on the Nominal and the Real

What oft was thought, but ne’er so well expressed6:

The lack of realism in microeconomic value theory has been overcompensated by an unquenched desire for `real’ figures. Idealism in the concepts of theory has resulted in a plethora of empirical concepts for real value, and the development of index number theory is thus characterised by an inventive sequence of euphemistic terms. We have an `ideal’ index, a `true’ (cost of living) index, an `exact’ index, a `superlative’ index and, last but not least, a `hedonic’ index.

At the same time, the word `real’ is employed in more than one sense in economics. It can mean the opposite to `nominal’, in other words a value figure corrected for a change in the value of the currency unit through a general price index. It can also mean `volume’, which is correction by means of a price index specifically tailored to the aggregate under consideration. It may mean `material’ as in `real’ assets rather than `financial’ assets, or the `real sector’ which produces such assets, as opposed to the `financial sector’, which deals with non- produced assets. In none of these uses is `real’ opposed to `fictitious’, but to the layman the difference is nevertheless unclear. The very act of `speaking in real terms’ conveys the idea that one has happily left behind the cloudy and unreliable world of bookkeeping and institutional regulations, and settled safely in the world of tangible objects. …

But the operational issues stirred up by using these terms have not been adequately addressed. To obtain such real variables, nominal figures are simply divided by some notional price index without regard to the ways in which this index is produced and the change in meaning it may imply for the resulting aggregate. …

In this [book] we make every effort to convince the reader that nominal values are real values in the sense of `actual’, and of what is observable as a statistical fact, while real values, as conceived by economic value theory, are constructs. They are imputations in the proper sense of the word… The dual character of the national accounts, distinguishing between institutional units and transactions on the one hand, and functional units and product flows on the other, provides the theoretical background for this view.

From Utz-Pieter Reich, National Accounts and Economic Value

Is Productivity Being Undermeasured?

(I am an occasional contributor to roundtables of economists in the magazine The International Economy. This month’s topic was: “What are the policy implications if productivity growth is being under-measured in the official data?” My answer is below.)

How many hamburgers equal one haircut? 

In itself, the question doesn’t make sense. They’re just different things. What we can compare, is how much they cost. This is true across the board: The only way we can convert all the endlessly varied objects and activities that make up “the economy” into a single number, is through their market prices. Markets are what let us express all the various products of human labor as a single quantity we call output. 

This means that productivity is only meaningful in the context of market prices. There are lots of things that people do that are useful, important, even essential to economic life, from raising children to following the law, that can’t be expressed as output per hour. 

So it doesn’t really make sense to ask if the nonmarket effects of technological change mean we are undermeasuring productivity. A new technology may transform our lives in all sorts of ways, but we can’t talk about its effect on productivity except insofar as its products are sold. There’s no other basis on which productivity can even be defined – we have to go by market prices. And what market prices are telling us is that productivity growth is slower than it used to be. 

This slowdown is not really surprising. Manufacturing – where the transformation of work by technology has gone farthest, and where productivity growth almost always fastest –  is steadily shrinking as a share of the economy.

It is true that we often think of economic growth as something broader than market prices. It’s supposed to describe a more general rise in living standards. So a more meaningful way to ask the question might be: Does measured productivity growth accurately reflect the material improvements in people’s lives?

The answer here is indeed no. But unfortunately, in the rich countries at least, the mismeasurement probably goes the opposite way as the question suggests.

Measures like life expectancy used to be closely linked with economic growth. In poor countries, this is still the case – higher GDP is associated with longer lifespans, lower child mortality, and similar improvements in health and wellbeing. If anything, today’s GDP growth may be associated with even faster improvement than we would expect based on the historical record. But in richer countries the opposite is true – higher GDP no longer translates reliably into better health outcomes. In some places – like the UK, and much of the US – life expectancy is actually falling, even as income per capita continues to rise. 

Leisure time is another measure of wellbeing — presumably if people were having an easier time meeting their material needs, they would choose to take more time off work. (Adam Smith once suggested that the amount of leisure people enjoyed was the only meaningful standard of economic value across countries.7) On this measure too, living standards seem to be falling short of GDP growth rather than running ahead of them. Between the end of World War II and the early 1980s, the average weekly hours of an employed American fell by about 15 percent. But since then, average hours per worker have been essentially flat. This makes the postwar growth performance look even better, and the more recent performance worse, than the headline numbers suggest.

It seems likely that measured productivity overstates, rather than understates, our real improvement in living standards, at least in the US.  If so, the policy implications seem clear. Policymakers should worry less about growth, and more about concrete interventions that we know improve people’s lives – things like universal access to childcare and health care, high-quality education, and paid time off for all. 

Video: Monetary Policy since the Crisis

On May 30, I did a “webinar” with INET’s Young Scholar’s Intiative. The subject was central banking since the financial crisis of a decade ago, and how it forces us to rethink some long-held ideas about money and the real economy — the dstinction between a demand-determined short run and a supply-determined long run; the neutrality of money in the long run; the absence of tradeoffs between unemployment, inflation and other macroeconomic goals; the reduction of monetary policy choices to setting a single overnight interest rate based on a fixed rule.My argument is that the crisis — or more precisely, central banks’ response to it — creates deep problems for all these ideas.

The full video (about an hour and 15 minus, including Q&A) is on YouTube, and embedded below. It’s part of an ongoing series of YSI webinars on endogenous money, including ones by Daniela Gabor, Jo Mitchella nd Sheila Dow. I encourage you, if you’re interested, to sign up with YSI — anyone can join — and check them out.

I didn’t use slides, but you can read my notes for the talk, if you want to.

“On money, debt, trust and central banking”

The central point of my Jacobin piece on the state of economics was meant to be: Whatever you think about mainstream macroeconomic theory, there is a lot of mainstream empirical and policy work that people on the left can learn from and engage with — much more than there was a decade ago. 8 

Some of the most interesting of that new work is from, and about, central banks. As an example, here is a remarkable speech by BIS economist Claudio Borio. I am not sure when I last saw such a high density of insight-per-word in a discussion of money and finance, let alone in a speech by a central banker. I could just say, Go read it. But instead I’m going to go through it section by section, explaining what I find interesting in it and how it connects up to a larger heterodox vision of money. 

From page one:

My focus will be the on the monetary system, defined technically as money plus the transfer mechanisms to execute payments. Logically, it makes little sense to talk about one without the other. But payments have too often been taken for granted in the academic literature, old and new. In the process, we have lost some valuable insights.

… two properties underpin a well functioning monetary system. One, rather technical, is the coincidence of the means of payment with the unit of account. The other, more intangible and fundamental, is trust. 

This starting point signals three central insights about money. First, the importance of payments. You shouldn’t fetishize any bit of terminology, but I’ve lately come to feel that the term “payments system” is a fairly reliable marker for something interesting to say about money. We all grow up with an idealized model of exchange, where the giving and receiving just happen, inseparably; but in reality it takes a quite sophisticated infrastructure to ensure that my debit coincides with your credit, and that everyone agrees this is so. Stefano Ugolini’s brilliant book on the prehistory of central banking emphasizes the central importance of finality – a binding determination that payment has taken place. (I suppose this was alsso the point of the essay that inaugurated Bitcoin.) In any case it’s a central aspect of “money” as a social institution that the mental image of one person handing a token to another entirely elides.

Second: the focus on money as unit of account and means of payment. The latter term mean money as the thing that discharges obligations, that cancels debts. It’s not evenb included in many standard lists of the functions of money, but for Marx, among others, it is fundamental. Borio consciously uses this term in preference to the more common medium of exchange, a token that facilitates trade of goods and services. He is clear that discharging debt and equivalent obligations is a more central role of money than exchanging commodities. Trade is a special case of debt, not vice versa. Here, as at other points through the essay, there’s a close parallel to David Graeber’s Debt. Borio doesn’t cite Graeber, but the speech is a clear example of my point in my debate with Mike Beggs years ago: Reading Graeber is good preparation for understanding some of the most interesting conversation in economics.

Third: trust. If you think of money as a social coordination mechanism, rather than a substance or quantity, you could argue that the scarce resource it’s helping to allocate is precisely trust.  More on this later.

Borio:

a key concept for understanding how the monetary system works is the “elasticity of credit”, ie the extent to which the system allows credit to expand. A high elasticity is essential for the system’s day-to-day operation, but too high an elasticity (“excess elasticity”) can cause serious economic damage in the longer run. 

This is an argument I’ve made before on this blog. Any payments system incorporate some degree of elasticity — some degree to which payments can run ahead of incomes. (As my old teacher David Kotz observes, the expansion of capital would be impossible otherwise.) But the degree of elasticity involves some unresolvable tensions. The logic of the market requires that every economic units expenditure eventually be brought into line with its income. But expansion, investment, innovation, requires eventually to be not just yet. (I talked a bit about this tension here.) Another critical point here is the impossibility of separating payments and credit – a separation that has been the goal of half the monetary reform proposals of the past 250 years.9

Along the way, I will touch on a number of sub-themes. .. whether it is appropriate to think of the price level as the inverse of the price of money, to make a sharp distinction between relative and absolute price changes, and to regard money (or monetary policy) as neutral in the long run.

So much here! The point about the non-equivalence of a rise in the price level and a fall in the value of money has been made eloquently by Merijn Knibbe.  I don’t think Borio’s version is better, but again, it comes with the imprimatur of Authority.

The fact that inflation inevitably involves relative as well as absolute price changes is made by Leijonhufvud (who Borio cites) and Minsky (who he surprisingly doesn’t); the non-neutrality of money is the subject (and the title) of what is in my opinion Minsky’s own best short distillation of his thought. 

Borio: 

Compared with the traditional focus on money as an object, the definition [in terms of means of payment] crucially extends the analysis to the payment mechanisms. In the literature, there has been a tendency to abstract from them and assume they operate smoothly in the background. I believe this is one reason why money is often said to be a convention, much like choosing which hand to shake hands with: why do people coordinate on a particular “object” as money? But money is much more than a convention; it is a social institution. It is far from self-sustaining. Society needs an institutional infrastructure to ensure that money is widely accepted, transactions take place, contracts are fulfilled and, above all, agents can count on that happening. 

Again, the payments mechanism is a complex, institutionally heavy social arrangement; there’s a lot that’s missed when we imagine economic transactions as I hand you this, you hand me that. Ignoring this social infrastructure invites the classical idea of money as an arbitrary numeraire, from which its long-run neutrality is one short step. 

The last clause introduces a deep new idea. In an important sense, trust is a kind of irrational expectation. Trust means that I am sure (or behave as if I am sure) that you will conform to the relevant rules. Trust means I believe (or behave as if I believe) this 100 percent. Anything less than 100 percent and trust quickly unravels to zero.  If there’s a small chance you might try to kill me, I should be prepared to kill you first; you might’ve had no bad intentions, but if I’m thinking of killing you, you should think about killing me first; and soon we’re all sprawled out on the warehouse floor. To exist in a world of strangers we need to believe, contrary to experience, that everyone around us will follow the rules.

a well functioning monetary system … will exploit the benefits of unifying the means of payment with the unit of account. The main benefit of a means of payment is that it allows any economy to function at all. In a decentralised exchange system, it underpins the quid-pro-quo process of exchange. And more specifically, it is a highly efficient means of “erasing” any residual relationship between transacting parties: they can thus get on with their business without concerns about monitoring and managing what would be a long chain of counterparties (and counterparties of counterparties).

Money as an instrument for erasing any relationship between the transacting parties: It could not be said better. And again, this is something someone who has read Graeber’s Debt understands very well, while someone who hasn’t might be a bit baffled by this passage. Graeber could also take you a step farther. Money might relieve you of the responsibility of monitoring your counterparties and their counterparties but somebody still has to. Graeber compellingly links the generalized use of money to strong centralized states. In a Graeberian perspective, money, along with slavery and bureaucracy, is one of the great social technologies for separating economic coordination from the broader network of mutual obligations.

The central banks’ elastic supply of the means of payment is essential to ensure that (i) transactions are settled in the interbank market and (ii) the interest rate is controlled. The interbank market is a critical component of our two-tier monetary system, where bank customer transactions are settled on the banks’ books and then banks, in turn, finally settle on the central bank’s books. To smooth out interbank settlement, the provision of central bank credit is key. The need for an elastic supply to settle transactions is most visible in the huge amounts of intraday credit central banks supply to support real- time gross settlement systems

“Two-tier monetary system” is a compressed version of Mehrling’s hierarchy of money. The second point, which Borio further develops further on, is that credit is integral to the payment system, since the two sides of a transaction never exactly coincide – there’s always one side that fulfills its part first and has to accept, however briefly, a promise in return. This is one reason that the dream of separating credit and payments is unrealizable.

The next point he makes is that a supply and demand framework is useless for thinking about monetary policy: 

The central bank … simply sets the desired interest rate by signalling where it would like it to be. And it can do so because it is a monopoly supplier of the means of payment: it can credibly commit to provide funds as needed to clear the market. … there is no such thing as a well behaved demand for bank reserves, which falls gradually as the interest rate increases, ie which is downward-sloping.

An interesting question is how much this is specific to the market for reserves and how much it applies to a range of asset markets. In fact, many markets share the two key features Borio points to here: adjustment via buffers rather than prices, and expected return that is a function of price.

On the first, there are a huge range of markets where there’s someone on one or both sides prepared to passively by or sell at a stated price. Many financial markets function only thanks to the existence of market makers – something Mehrling and his Barnard colleague Rajiv Sethi have written eloquently about. But more generally, most producers with pricing power — which is almost all of them — set a price and then passively meet demand at that price, allowing inventories and/or delivery times to absorb shifts in demand, within some range.

The second feature is specific to long-lived assets. Where there is an expected price different from the current price, holding the asset implies a capital gain or loss when the price adjusts. If expectations are sufficiently widespread and firmly anchored, they will be effectively self-confirming, as the expected valuation changes will lead the asset to be quickly bid back to its expected value. This dynamic in the bond market (and not the zero lower bound) is the authentic Keynesian liquidity trap.

To be clear, Borio isn’t raising here these broader questions about markets in general. But they are a natural extension of his arguments about reserves. 

Next come some points that shouldn’t be surprising to to readers of this blog, but which are nice, for me as an economics teacher, to see stated so plainly. 

The monetary base – such a common concept in the literature – plays no significant causal role in the determination of the money supply … or bank lending. It is not surprising that … large increases in bank reserves have no stable relationship with the stock of money … The money multiplier – the ratio of money to the monetary base – is not a useful concept. … Bank lending reflects banks’ management of the risk-return tradeoff they face… The ultimate anchor of the monetary system is not the monetary base but the interest rate the central bank sets.

We all know this is true, of course. The mystery is why so many textbooks still talk about the supply of high-powered money, the money multiplier, etc. As the man says, they just aren’t useful concepts.

Next comes the ubiquity of credit, which not only involves explicit loans but also any transaction where delivery and payment don’t coincide in time — which is almost all of them. Borio takes this already-interesting point in an interestingly Graeberian direction:  

A high elasticity in the supply of the means of payment does not just apply to bank reserves, it is also essential for bank money. … Credit creation is all around us: some we see, some we don’t. For instance, explicit credit extension is often needed to ensure that two legs of a transaction are executed at the same time so as to reduce counterparty risk… And implicit credit creation takes place when the two legs are not synchronised. ….

In fact, the role of credit in monetary systems is commonly underestimated. Conceptually, exchanging money for a good or service is not the only way of solving the problem of the double coincidence of wants and overcoming barter. An equally, if not more convenient, option is to defer payment (extend credit) and then settle when a mutually agreeable good or service is available. In primitive systems or ancient civilisations as well as during the middle ages, this was quite common. … It is easier to find such examples than cases of true barter.

The historical non-existence of barter is the subject of the first chapter of Debt . Here again, the central banker has more in common with the radical anthropologist than with orthodox textbooks, which usually make barter the starting point for discussions of money.

Borio goes on:

the distinction between money and debt is often overplayed. True, one difference is that money extinguishes obligations, as the ultimate settlement medium. But netting debt contracts is indeed a widespread form of settling transactions.

Yes it is: remember Braudel’s Flanders fairs? “The fairs were effectively a settling of accounts, in which debts met and cancelled each other out, melting like snow in the sun.”

At an even deeper level, money is debt in the form of an implicit contract between the individual and society. The individual provides something of value in return for a token she trusts to be able to use in the future to obtain something else of value. She has a credit vis-à-vis everyone and no one in particular (society owes a debt to her).

In the classroom, one of the ways I suggest students think about money is as a kind of social scorecard. You did something good — made something somebody wanted, let somebody else use something you own, went to work and did everything the boss told you? Good for you, you get a cookie. Or more precisely, you get a credit, in both senses, in the personal record kept for you at a bank. Now you want something for yourself? OK, but that is going to be subtracted from the running total of how much you’ve done for the rest for us.

People get very excited about China’s social credit system, a sort of generalization of the “permanent record” we use to intimidate schoolchildren. And ok, it does sound kind of dystopian. If your rating is too low, you aren’t allowed to fly on a plane. Think about that — a number assigned to every person, adjusted based on somebody’s judgement of your pro-social or anti-social behavior. If your number is too low, you can’t on a plane. If it’s really low, you can’t even get on a bus. Could you imagine a system like that in the US?

Except, of course, that we have exactly this system already. The number is called a bank account. The difference is simply that we have so naturalized the system that “how much money you have” seems like simply a fact about you, rather than a judgement imposed by society.

Back to Borio:

All this also suggests that the role of the state is critical. The state issues laws and is ultimately responsible for formalising society’s implicit contract. All well functioning currencies have ultimately been underpinned by a state … [and] it is surely not by chance that dominant international currencies have represented an extension of powerful states… 

Yes. Though I do have to note that it’s at this point that Borio’s fealty to policy orthodoxy — as opposed to academic orthodoxy — comes into view. He follows up the Graeberian point about the link between state authority and money with a very un-Graeberian warning about the state’s “temptation to abuse its power, undermining the monetary system and endangering both price and financial stability.”

Turning now to the policy role of the central bank, Borio  starts from by arguing that “the concepts of price and financial stability are joined at the hip. They are simply two ways of ensuring trust in the monetary system…. It is no coincidence that securing both price and financial stability have been two core central bank functions.” He then makes the essential point that what the central bank manages is at heart the elasticity of the credit system. 

The process underpinning financial instability hinges on how “elastic” the monetary system is over longer horizons… The challenge is to ensure that the system is not excessively elastic drawing on two monetary system anchors. One operates on prices – the interest rate and the central bank’s reaction function. … The other operates on quantities: bank regulatory requirements, such as those on capital or liquidity, and the supervisory apparatus that enforces them.

This is critical, not just for thinking about monetary policy, but as signpost toward the heart of the Keynesian vision. (Not the bastard — but useful  — postwar Keynesianism of IS-LM, but the real thing.) Capitalism is not a system of real exchange — it shouldn’t be imagined as a system in which people exchange pre-existing stuff for other stuff they like better. Rather, it is a system of monetary production — a system in which payments and claims of money, meaningless themselves, are the coordinating mechanism for human being’s collective, productive activity. 

This is the broadest sense of the statement that money has to be elastic, but not too elastic. If it is too elastic, money will lose its scarcity value, and hence its power to organize human activity. Money is only an effective coordinating mechanism when its possession allows someone to compel the obedience of others. But it has to be flexible enough to adapt to the concrete needs of production, and of the reproduction of society in general. (This is the big point people take form Polanyi.) “You can’t have the stuff until you give me the money” is the fundamental principle that has allowed capitalism to reorganize vast swathes of our collective existence, for better or worse. But applied literally, it stops too much stuff from getting where it needs to go to to be compatible with the requirements of capitalist production itself. There’s a reason why business transactions are almost always on the basis of trade credit, not cash on the barrelhead. As Borio puts it, “today’s economies are credit hungry.” 

The talk next turns to criticism of conventional macroeconomics that will sound familiar to Post Keynesians. The problem of getting the right elasticity in the payments system — neither too much nor too little — is “downplayed in the current vintage of macroeconomic models. One reason is that the models conflate saving and financing.“ In reality,

Saving is just a component of national income – as it were, just a hole in overall expenditures, without a concrete physical representation. Financing is a cash flow and is needed to fund expenditures. In the mainstream models, even when banks are present, they imply endowments or “saving”; they do not create bank deposits and hence purchasing power through the extension of loans or purchase of assets. There is no meaningful monetary system, so that any elasticity is seriously curtailed. Financial factors serve mainly to enhance the persistence of “shocks” rather than resulting in endogenous booms and busts.

This seems right to me. The point that there is no sense in which savings finance or precede or investment is a key one for Keynes, in the General Theory and even more clearly in his subsequent writing.10 I can’t help noting, also, that passages like this are a reminder that criticism of today’s consensus macro does not come only from the professionally marginalized.

The flipside of not seeing money as social coordinating mechanism, a social ledger kept by banks, is that you do  see it as a arbitrary token that exists in a particular quantity. This latter vision leads to an idea of inflation as a simple imbalance between the quantity of money and the quantity of stuff. Borio:

The process was described in very simple terms in the old days. An exogenous increase in the money supply would boost inflation. The view that “the price level is the inverse of the price of money” has probably given this purely monetary interpretation of inflation considerable intuitive appeal. Nowadays, the prevailing view is not fundamentally different, except that it is couched in terms of the impact of the interest rate the central bank sets.

This view of the inflation process has gone hand in hand with a stronger proposition: in the long run, money (monetary policy) is neutral, ie it affects only prices and no real variables. Again, in the classical tradition this was couched in terms of the money supply; today, it is in terms of interest rates. … Views about how long it takes for this process to play itself out in calendar time differ. But proponents argue that the length is short enough to be of practical policy relevance.

The idea that inflation can be thought of as a decline in the value of money is effectively criticized by Merijn Knibbe and others. It is a natural idea, almost definitionally true, if you vision starts from a world of exchange of goods and then adds money as facilitator or numeraire. But if you start, as Borio does, and as the heterodox money tradition from Graeber to Minsky to Keynes to Marx and back to Tooke and Thornton does, from the idea of money as entries in a social ledger, then it makes about as much sense as saying that a game was a blowout because the quantity of points was too high.  

once we recognise that money is fundamentally endogenous, analytical thought experiments that assume an exogenous change and trace its impact are not that helpful, if not meaningless. They obscure, rather than illuminate, the mechanisms at work. … [And] once we recognise that the price of money in terms of the unit of account is unity, it makes little sense to think of the price level as the inverse of the price of money. … any financial asset fixed in nominal terms has the same property. As a result, thinking of inflation as a purely monetary phenomenon is less compelling.

“Not that helpful”, “makes little sense,” “is less compelling”: Borio is nothing if not diplomatic. But the point gets across.

Once we recognise that the interest rate is the monetary anchor, it becomes harder to argue that monetary policy is neutral… the interest rate is bound to affect different sectors differently, resulting in different rates of capital accumulation and various forms of hysteresis. … it is arguably not that helpful to make a sharp distinction between what affects relative prices and the aggregate price level…., not least because prices move at different speeds and differ in their flexibility… at low inflation rates, the “pure” inflation component, pertaining to a generalised increase in prices, [is] smaller, so that the distinction between relative and general price changes becomes rather porous.

In part, this is a restatement of Minsky’s “two-price” formulation of Keynes. Given that money or liquidity is usefulat all, it is presumably more useful for some things more than for others; and in particular, it is most useful when you have to make long-lived commitments that expose you to vagaries of an unknown future; that is, for investment. Throttling down the supply of liquidity will not just reduce prices and spending across the board, it will reduce them particularly for long-lived capital goods.

The second point, that inflation loses its defintion as a distinct phenomenon at low levels, and fades into the general mix of price changes, is something I’ve thought myself for a while but have never seen someone spell out this way. (I’m sure people have.) It follows directly from the fact that changes in the prices of particualr goods don’t scale proportionately with inflation, so as inflation gets low, the shared component of price changes over time gets smaller and harder to identify. Because the shared component is smaller at low inflation, it is going to be more sensitive to the choice of basket and other measurement issues. 20 percent inflation clearly (it seems to me) represents a genuine phenomenon. But it’s not clear that 2 percent inflation really does – an impression reinforced by the proliferation of alternative measures.

The Minskyan two-price argument also means that credit conditions and monetary policy necessarily affect the directiona s well as the level of economic activity.

financial booms tend to misallocate resources, not least because too many resources go into sectors such as construction… It is hard to imagine that interest rates are simply innocent bystanders. At least for any policy relevant horizon, if not beyond, these observations suggest that monetary policy neutrality is questionable.

This was one of the main points in Mike Konczal’s and my monetary toolkit paper.

In the next section, which deserves a much fuller unpacking, Borio critiques the fashionable idea that central banks cannot control the real rate of interest. 

 Recent research going back to the 1870s has found a pretty robust link between monetary regimes and the real interest rate over long horizons. By contrast, the “usual suspects” seen as driving saving and investment – all real variables – do not appear to have played any consistent role. 

This conflation of the “real”  (inflation-adjusted) interest rate with a rate determined by “real” (nonmonetary) factors, and therefore beyond the central bank’s influence, is one of the key fissure-points in economic ideology.11 The vision of economics, espcially its normative claims, depend on an idea of ecnomic life as the mutually beneficial exchange of goods. There is an obvious mismatch between this vision and the language we use to talk about banks and market interest rates and central banks — it’s not that they contradict or in conflict as that they don’t make contact at all. The preferred solution, going from today’s New Keynesian consensus back through Friedman to Wicksell, is to argue that the “interest rate” set by the central bank must in some way be the same as the “interest rate” arrived at by agents exchanging goods today for goods later. Since the  terms of these trades depend only on the non-monetary fundamentals of preferences and technology, the same must in the long run be true of the interest rate set by the financial system and/or the central bank. The money interest rate cannot persistently diverge from the interest rate that would obtain in a nonmonetary exchange economy that in some sense corresponds to the actual one.

But you can’t square the circle this way. A fundamental Keynesian insight is that economic relations between the past and the future don’t take the form of trades of goods now for goods later, but of promises to make money payments at some future date or state of the world. Your ability to make money promises, and your willingness to accept them from others, depends not on any physical scarcity, but on your confidence in your counterparties doing what they promised, and in your ability to meet your own commitments if some expected payment doesn’t come through. In short, as Borio says, it depends on trust. In other words, the fundamental problem for which interest is a signal is not allocation but coordination. When interest rates are high, that reflects not a scarcity of goods in the present relative to the future, but a relative lack of trust within the financial system. Corporate bond rates did not spike in 2008 because decisionmakers suddenly wished to spend more in the present relative to the future, but because the promises embodied in the bonds were no longer trusted.

Here’s another way of looking at it: Money is valuable. The precursor of today’s “real interest rate” talk was the idea of money as neutral in the long run, in the sense that a change in the supply of money would eventually lead only to a proportionate change in the price level.12  This story somehow assumes on the one hand that money is useful, in the sense that it makes transactions possible that wouldn’t be otherwise. Or as Kocherlakota puts it: “At its heart, economic thinking about fiat money is paradoxical. On the one hand, such money is viewed as being inherently useless… But at the same time, these barren tokens… allow society to implement allocations that would not otherwise be achievable.” If money is both useful and neutral, evidently it must be equally useful for all transactions, and its usefulness must drop suddenly to zero once a fixed set of transactions have been made. Either there is money or there isn’t. But if additional money does not allow any desirable transaction to be carried out that right now cannot be, then shouldn’t the price of money already be zero? 

Similarly: The services provided by private banks, and by the central bank, are valuable. This is the central point of Borio’s talk. The central bank’s explicit guarantee of certain money commitments, and its open ended readiness to ensure that others are fulfilled in a crisis, makes a great many promises acceptable that otherwise wouldn’t be. And like the provider of anything of value, the central bank — and financial system more broadly — can affect its price by supplying more or less of it. It makes about as much sense to say that central banks can influence the interest rate only in the short run as to say that public utilities can only influence the price of electricity in the short run, or that transit systems can only influence the price of transportation in the short run. The activities of the central bank allow a greater degree of trust in the financial system, and therefore a lesser required payment to its professional promise-accepters.13 Or less trust and higher payments, as the case may be. This is true in the short run, in the medium run, in the long run. And because of the role money payments play in organizing productive activity, this also means a greater or lesser increase in our collective powers over nature and ability to satisfy our material wants.

 

Decarbonization: A Keynesian View

The International Economy has asked me to take part in a couple of their recent roundtables on economic policy. My first contribution, on productivity growth, is here (scroll down). My second one, on green investment, is below. But first, I want to explain a little more what I was trying to do with it.

I am not trying to minimize that challenge of dealing with the climate change. But I do want to reject one common way of thinking about those challenges — as a “cost”, as some quantity of other needs that will have to go unmet. I reject it because output isn’t fixed — a serious effort to deal with climate change will presumably lead to a boom with much higher levels of employment and investment. And more broadly I reject it because it’s profoundly wrong to think of the complex activities of production as being equivalent to a certain quantity of “stuff”.

There’s a Marxist version of this, which I also reject — that the reproduction of capitalism requires an ever-increasing flow of material inputs and outputs, which rules out any kind of environmental sustainability. I think this mistakenly equates the situation facing the individual capitalist — the need to maximize money sales relative to money outlays — with the logic of the system as a whole. There is no necessary link between endless accumulation of money and any particular transformation of the material world. To me the real reason capitalism makes it so hard to address climate change isn’t any objective need to dump carbon into the atmosphere. It’s the obstacles that private property and the pursuit of profit — and their supporting ideologies — create for any kind of conscious reorganization of productive activity.

The question was, who will be the winners and losers from the transition away from carbon? Here’s what I wrote:

The response to climate change is often conceived as a form of austerity—how much consumption must we give up today to avoid the costs of an uninhabitable planet tomorrow? This way of thinking is natural for economists, brought up to think in terms of the allocation of scarce means among competing ends. By some means or other—prices, permits, or plans—part of our fixed stock of resources must, in this view, be used to prevent (or cope with) climate change, reducing the resources available to meet other needs.

The economics of climate change look quite different from a Keynesian perspective, in which demand constraints are pervasive and the fundamental economic problem is not scarcity but coordination. In this view, the real resources for decarbonization will not have to be with- drawn from other uses. They can come from an expansion of society’s productive capabilities, thanks to the demand created by clean-energy investment itself. Addressing climate change need not imply a lower standard of living—if it boosts employment and steps up the pace of technological change, it may well lead to a higher one.

People rightly compare the scale of the transition to clean technologies to the mobilization for World War II. Often forgotten, though, is that in countries spared the direct destruction of the fighting, like the United States, wartime mobilization did not crowd out civilian production. Instead, it led to a remarkable acceleration of employment and productivity growth. Production of a liberty ship required 1,200 man hours in 1941, only 500 by 1944. These rapid productivity gains, spurred by the high-pressure economy of the war, meant there was no overall tradeoff between more guns and more butter.

At the same time, the degree to which all wartime economies—even the United States—were centrally planned, reinforces a lesson that economic historians such as Alexander Gerschenkron and Alice Amsden have drawn from the experience of late industrializers: however effective decentralized markets may be at allocating resources at the margin, there is a limit to the speed and scale on which they can operate. The larger and faster the redirection of production, the more it requires conscious direction—though not necessarily by the state.

In a world where output is fundamentally limited by demand, action to deal with climate change doesn’t require sacrifice. Do we really live in such a world? Think back a few years, when macroeconomic discussions were all about secular stagnation and savings gluts. The headlines may have faded, but the conditions that prompted them have not. There’s good reason to think that the main limit to capital spending still is not scarce savings, but limited outlets for profitable investment, and that the key obstacle to faster growth is not technology or “structural” constraints, but the willingness of people to spend money. Bringing clean energy to scale will call forth new spending, both public and private, in abundance.

Of course, not everyone will benefit from the clean energy boom. The problem of stranded assets is real— any effective response to climate change will mean that much of the world’s coal and oil never comes out of the ground. But it’s not clear how far this problem extends beyond the fossil fuel sector. For manufacturers, even in the most carbon-intensive industries, only a small part of their value as enterprises comes from the capital equipment they own. More important is their role in coordinating production—a role that conventional economic models, myopically focused on coordination through markets, have largely ignored. organizing complex production processes, and maintaining trust and cooperation among the various participants in them, are difficult problems, solved not by markets but by the firm as an ongoing social organism. This coordination function will retain its value even as production itself is transformed.

UPDATE: Followup post on the World War II experience here.

The Wit and Wisdom of Trygve Haavelmo

I was talking some time ago with my friend Enno about Merijn Knibbe’s series of articles on the disconnect between the variables used in economic models and the corresponding variables in the national accounts.14 Enno mentioned Trygve Haavelmo’s 1944 article The Probability Approach in Econometrics; he thought Haavelmo’s distinction between “theroetical variables,” “true variables,” and “observable variables” could be a useful way of thinking about the slippages between economic reality, economic data and economic theory.

I finally picked up the Haavelmo article, and it turns out to be a deep and insightful piece — for the reason Enno mentioned, but also more broadly on how to think about empirical economics. It’s especially interesting coming from soeone who won the Nobel Prize for his foundational work in econometrics. Another piece of evidence that orthodox economists in the mid-20th century thought more deeply and critically about the nature of their project than their successors do today.

It’s a long piece, with a lot of mathematical illustrations that someone reading it today can safely skip. The central argument comes down to three overlapping points. First, economic models are tools, developed to solve specific problems. Second, economic theories have content only insofar as they’re associated with specific procedures for measurement. Third, we have positive economic knowledge only insofar as we can make unconditional predictions about the distribution of observable variables.

The first point: We study economics in order to “become master of the happenings of real life.” This is on some level obvious, or vacuous, but it'[s important; it functions as a kind of “he who has ears, let him hear.” It marks the line between those who come to economics as a means to some other end — a political commitment, for many of us; but it could just as well come from a role in business or policy — and those for whom economic theory is an end in itself. Economics education must, obviously, be organized on the latter principle. As soon as you walk into an economics classroom, the purpose of your being there is to learn economics. But you can’t, from within the classroom, make any judgement about what is useful or interesting for the world outside. Or as Hayek put it, “One who is only an economist, cannot be a good economist.”15

Here is what Haavelmo says:

Theoretical models are necessary tools in our attempts to understand and explain events in real life. … Whatever be the “explanations” we prefer, it is not to be forgotten that they are all our own artificial inventions in a search for an understanding of real life; they are not hidden truths to be “discovered.”

It’s an interesting question, which we don’t have to answer here, whether or to what extent this applies to the physical sciences as well. Haavelmo thinks this pragmatic view of scientific laws applies across the board:

The phrase “In the natural sciences we have laws” means not much more and not much less than this: The natural sciences have chosen fruitful ways of looking upon physical reality.

We don’t need to decide here whether we want to apply this pragmatic view to the physical sciences. It is certainly the right way to look at economic models, in particular the models we construct in econometrics. The “data generating process” is not an object existing out in the world. It is a construct you have created for one or both of these reasons: It is an efficient description of the structure of a specific matrix of observed data; it allows you to make predictions about some specific yet-to-be-observed outcome. The idea of a data-generating process is obviously very useful in thinking about the logic of different statistical techniques. It may be useful to do econometrics as if there were a certain data generating process. It is dangerously wrong to believe there really is one.

Speaking of observation brings us to Haavelmo’s second theme: the meaningless of economic theory except in the context of a specific procedure for observation.  It might naively seem, he says, that

since the facts we want to study present themselves in the form of numerical measurement, we shall have to choose our models from … the field of mathematics. But the concepts of mathematics obtain their quantitative meaning implicitly through the system of logical operations we impose. In pure mathematics there really is no such problem as quantitative definition of a concept per se …

When economists talk about the problem of quantitative definitions of economic variables, they must have something in mind which has to do with real economic phenomena. More precisely, they want to give exact rules how to measure certain phenomena of real life.

Anyone who got a B+ in real analysis will have no problem with the first part of this statement. For the rest, this is the point: economic quantities come into existence only through some concrete human activity that involves someone writing down a number. You can ignore this, most of the time; but you should not ignore it all of the time. Because without that concrete activity there’s no link between economic theory and the social reality it hopes to help us master or make sense of.

Haavelmo has some sharp observations on the kind of economics that ignores the concrete activity that generates its data, which seem just as relevant to economic practice today:

Does a system of questions become less mathematical and more economic in character just by calling x “consumption,” y “price,” etc.? There are certainly many examples of studies to be found that do not go very much further than this, as far as economic significance is concerned.

There certainly are!

An equation, Haavelmo continues,

does not become an economic theory just by using economic terminology to name the variables invovled. It becomes an economic theory when associated with the rule of actual measurement of economic variables.

I’ve seen plenty of papers where the thought process seems to have been somthing like, “I think this phenomenaon is cyclical. Here is a set of difference equations that produce a cycle. I’ll label the variables with names of parts of the phenomenon. Now I have a theory of it!” With no discussion of how to measure the variables or in what sense the objects they describe exist in the external world.

What makes a piece of mathematical economics not only mathematics but also economics is this: When we set up a system of theoretical relationships and use economic names for the otherwise purely theoretical variables involved, we have in mind some actual experiment, or some design of an experiment, which we could at least imagine arranging, in order to measure those quantities in real economic life that we think might obey the laws imposed on their theoretical namesakes.

Right. A model has positive content only insofar as we can describe the concrete set of procedures that gets us from the directly accessible evidence of our senses. In my experience this comes through very clearly if you talk to someone who actually works in the physical sciences. A large part of their time is spent close to the interface with concrete reality — capturing that lizard, calibrating that laser.  The practice of science isn’t simply constructing a formal analog of physical reality, a model trainset. It’s actively pushing against unknown reality and seeing how it pushes back.

Haavelmo:

When considering a theoretical setup … it is common to ask about the actual meaning of this or that variable. But this question has no sense within the theoretical model. And if the question applies to reality it has no precise answer … we will always need some willingness among our fellow research workers to agree “for practical purposes” on questions of definitions and measurement …A design of experiments … is an essential appendix to any quantitative theory.

With respect to macroeconomics, the “design of experiments” means, in the first instance, the design of the national accounts. Needless to say, national accounting concepts cannot be treated as direct observations of the corresponding terms in economic theory, even if they have been reconstructed with that theory in mind. Cynamon and Fazzari’s paper on the measurement of household spending gives some perfect examples of this. There can’t be many contexts in which Medicare payments to hospitals, for example, are what people have in mind when they construct models of household consumption. But nonetheless that’s what they’re measuring, when they use consumption data from the national accounts.

I think there’s an important sense in which the actual question of any empirical macroeconomics work has to be: What concrete social process led the people working at the statistics office to enter these particular values in the accounts?

Or as Haavelmo puts it:

There is hardly an economist who feels really happy about identifying the current series of “national income, “consumptions,” etc. with the variables by those names in his theories. Or, conversely, he would think it too complicated or perhaps uninteresting to try to build models … [whose] variables would correspond to those actually given by current economic statistics. … The practical conclusion… is the advice that economists hardly ever fail to give, but that few actually follow, that one should study very carefully the actual series considered and the conditions under which they were produced, before identifying them with the variables of a particular theoretical model.

Good advice! And, as he says, hardly ever followed.

I want to go back to the question of the “meaning” of a variable, because this point is so easy to miss. Within a model, the variables have no meaning, we simply have a set of mathematical relationships that are either tautologous, arbitrary, or false. The variables only acquire meaning insofar as we can connect them to concrete social phenomena. It may be unclear to you, as a blog reader, why I’m banging on this point so insistently. Go to an economics conference and you’ll see.

The third central point of the piece is that meaningful explanation requires being able to identify a few causal links as decisive, so that all the other possible ones can be ignored.

Think back to that Paul Romer piece on what’s wrong with modern macroeconomics. One of the most interesting parts of it, to me, was its insistent Humean skepticism about the possibility of a purely inductive economics, or for that matter science of any kind. Paraphrasing Romer: suppose we have n variables, any of which may potentially influence the others. Well then, we have n equations, one for each variable, and n2 parameters (counting intercepts). In general, we are not going to be able to estimate this system based on data alone. We have to restrict the possible parameter space either on the basis of theory, or by “experiments” (natural or otherwise) that let us set most of the parameters to zero on the grounds that there is no independent variation in those variables between observations. I’m not sure that Romer fully engages with this point, whose implications go well beyond the failings of real business cycle theory. But it’s a central concern for Haavelmo:

A theoretical model may be said to be simply a restriction upon the joint variations of a system of quantities … which otherwise might have any value. … Our hope in economic theory and research is that it may be possible to establish contant and relatively simple relations between dependent variables … and a realtively small number of independent variables. … We hope that for each variable y to be explained, there is a realtively small number of explaining factors the variations of which are practically decisive in determining the variations of y. …  If we are trying to explain a certain observable varaible, y, by a system of causal factors, there is, in general, no limit to the number of such factors that might have a potential influence upon y. But Nature may limit the number of fctors that have a nonneglible factual influence to a relatively small number. Our hope for simple laws in economics rests upon the assumption that we may proceed as if such natural limitations of the number of relevant factors exist.

One way or another, to do empirical economic, we have to ignore mst of the logically possible relationships between our variables. Our goal, after all, is to explain variation in the dependent variable. Meaningful explanation is possible only if the number of relevant causal factors is small. If someone asks “why is unemployment high”, a meaningful answer is going to involve at most two or three causes. If you say, “I have no idea, but all else equal wage regulations are making it higher,” then you haven’t given an answer at all. To be masters of the hapennings of real life, we need to focus on causes of effects, not effects of causes.

In other words, ceteris paribus knowledge isn’t knowledge at all. Only unconditional claims count — but they don’t have to be predictions of a single variable, they can be claims about the joint distribution of several. But in any case we have positive knowledge only to the extent we can unconditionally say that future observations will fall entirely in a certain part of the state space. This fails if we have a ceteris paribus condition, or if our empirical works “corrects” for factors whose distribution and the nature of whose influence we have not invstigated.16 Applied science is useful because it gives us knowledge of the kind, “If I don’t turn the key, the car will not start, if I do turn the key, it will — or if it doesn’t there is a short list of possible reasons why not.” It doesn’t give us knowledge like “All else equal, the car is more likely to start when the key is turned than when it isn’t.”17

If probability distributions are simply tools for making unconditional claims about specific events, then it doesn’t make sense to think of them as existing out in the world. They are, as Keynes also emphasized, simply ways of describing our own subjective state of belief:

We might interpret “probability” simply as a measure of our a priori confidence in the occurrence of a certain event. Then the theoretical notion of a probability distribution serves us chiefly as a tool for deriving statements that have a very high probability of being true.

Another way of looking at this. Research in economics is generally framed in terms of uncovering universal laws, for which the particular phenomenon being  studied merely serves as a case study.18 But in the real world, it’s more oftne the other way: We are interested in some specific case, often the outcome of some specific action we are considering. Or as Haavelmo puts it,

As a rule we are not particularly interested in making statements about a large number of observations. Usually, we are interested in a relatively small number of observations points; or perhaps even more frequently, we are interested in a practical statement about just one single new observation.

We want economics to answer questions like, “what will happen if US imposes tariffs on China”? The question of what effects tariffs have on trade in the abstract is, itself, uninteresting and unanswerable.

What do we take from this? How, according to Haavelmo, should empirical economics be?

First, the goal of empirical work is to explain concrete phenomena — what happened, or will happen, in some particular case.

Second, the content of a theory is inseparable from the procedures for measuring the variables in it.

Third, empirical work requires restrictions on the logically possible space of parameters, some of which have to be imposed a priori.

Finally, prediction (the goal) means making unconditional claims about the joint distribution of one or more variables. “Everything else equal” means “I don’t know.”

All of this based on the idea that we study economics not as an end in itself, but in response to the problems forced on us by the world.

Saving and Borrowing: A Response to Klein

Matthew Klein has a characteristically thoughtful post disagreeing with my new paper on income distribution and debt. I think his post has some valid arguments, but also, from my point of view, some misunderstandings. In any case, this is the conversation we should be having.

I want to respond on the specific points Klein raises. But first, in this post, I want to clarify some background conceptual issues. In particular, I want to explain why I think it’s unhelpful to think about the issues of debt and demand in terms of saving.

Klein talks a great deal about saving in his post. Like most people writing on these issues, he treats the concepts of rising debt-income ratios, higher borrowing and lower saving as if they were interchangeable. In common parlance, the question “why have households borrowed more?” is equivalent to “why have households saved less?” And either way, the spending that raises debt and reduces saving, is also understood to contribute to aggregate demand.

This conception is laid out in Figure 1 below. These are accounting rather than causal relationships. A minus sign in the link means the relationship is negative.

 

We start with households’ decision to consume more or less out of their income. Implicitly, all household outlays are for consumption, or at least, this is the only flow of household spending that varies significantly. An additional dollar of household consumption spending means an additional dollar of demand for goods and services; it also means a dollar less of savings. A dollar less of savings equals a dollar more of borrowing. More borrowing obviously means higher debt, or — equivalently in this view — a higher debt-GDP ratio.

There’s nothing particularly orthodox or heterodox about this way of looking at things. You can hear the claim that a rise in the household debt-income ratio contributes more or less one for one to aggregate demand as easily from Paul Krugman as from Steve Keen. Similarly, the idea that a decline in savings rates is equivalent to an increase in borrowing is used by Marxists as well as by mainstream economists, not to mention eclectic business journalists like Klein. Of course no one actually says “we assume that household assets are fixed or nonexistent.” But implicitly that’s what you’re doing when you treat the question of what has happened to household borrowing as if it were the equivalent of what has happened to household saving.

There is nothing wrong, in principle, with thinking in terms of the logic of Figure 1, or constructing models on that basis. Social science is impossible without abstraction. It’s often useful, even necessary, to think through the implications of a small subset of the relationships between economic variables, while ignoring the rest. But when we turn to  the concrete historical changes in macroeconomic quantities like household debt and aggregate demand in the US, the ceteris paribus condition is no longer available. We can’t reason in terms of the hypothetical case where all else was equal. We have to take into account all the factors that actually did contribute to those changes.

This is one of the main points of the debt-inequality paper, and of my work with Arjun Jayadev on household debt. In reality, much of the historical variation in debt-income ratios and related variables cannot be explained in terms of the factors in Figure 1. You need something more like Figure 2.

Figure 2 shows a broader set of factors that we need to include in a historical account of household sector balances. I should emphasize, again, that this is not about cause and effect. The links shown in the diagram are accounting relationships. You cannot explain the outcomes at the bottom without the factors shown here. [1] I realize it looks like a lot of detail. But this is not complexity for complexity’s sake. All the links shown in Figure 2 are quantitatively important.

The dark black links are the same as in the previous diagram. It is still true that higher household consumption spending reduces saving and raises aggregate demand, and contributes to lower saving and higher borrowing, which in turn contributes to lower net wealth and an increase in the debt ratio. Note, though, that I’ve separated saving from balance sheet improvement. The economic saving used in the national accounts is quite different from the financial saving that results in changes in the household balance sheet.

In addition to the factors the debt-demand story of Figure 1 focuses on, we also have to consider: various actual and imputed payment flows that the national accounts attribute to the household sector, but which do not involve any money payments to or fro households (blue); the asset side of household balance sheets (gray); factors other than current spending that contribute to changes in debt-income ratios (red); and change in value of existing assets (cyan).

The blue factors are discussed in Section 5 of the debt-distribution paper. There is a much fuller discussion in a superb paper by Barry Cynamon and Steve Fazzari, which should be read by anyone who uses macroeconomic data on household income and consumption. Saving, remember, is defined as the difference between income and consumption. But as Cynamon and Fazzari point out, on the order of a quarter of both household income and consumption spending in the national accounts is accounted for by items that involve no actual money income or payments for households, and thus cannot affect household balance sheets.

These transactions include, first, payments by third parties for services used by households, mainly employer-paid premiums for health insurance and payments to healthcare providers by Medicaid and Medicare. These payments are counted as both income and consumption spending for households, exactly as if Medicare were a cash transfer program that recipients then chose to use to purchase healthcare. If we are interested in changes in household balance sheets, we must exclude these payments, since they do not involve any actual outlays by households; but they still do contribute to aggregate demand. Second, there are imputed purchases where no money really changes hands at all.  The most important of these are owners’ equivalent rent that homeowners are imputed to pay to themselves, and the imputed financial services that households are supposed to purchase (paid for with imputed interest income) when they hold bank deposits and similar assets paying less than the market interest rate. Like the third party payments, these imputed interest payments are counted as both income and expenditure for households. Owners’ equivalent rent is also added to household income, but net of mortgage interest, property taxes and maintenance costs. Finally, the national accounts treat the assets of pension and similar trust funds as if they were directly owned by households. This means that employer contributions and asset income for these funds are counted as household income (and therefore add to measured saving) while benefit payments are not.

These items make up a substantial part of household payments as recorded in the national accounts – Medicare, Medicaid and employer-paid health premiums together account for 14 percent of official household consumption; owners’ equivalent rent accounts for another 10 percent; and imputed financial services for 4 percent; while consolidating pension funds with households adds about 2 percent to household income (down from 5 percent in the 1980s). More importantly, the relative size of these components has changed substantially in the past generation, enough to substantially change the picture of household consumption and income.

Incidentally, Klein says I exclude all healthcare spending in my adjusted consumption series. This is a misunderstanding on his part. I exclude only third-party health care spending — healthcare spending by employers and the federal government. I’m not surprised he missed this point, given how counterintuitive it is that Medicare is counted as household consumption spending in the first place.

This is all shown in Figure 3 below (an improved version of the paper’s Figure 1):

The two dotted lines remove public and employer payments for healthcare, respectively, from household consumption. As you can see, the bulk of the reported increase in household consumption as a share of GDP is accounted for by healthcare spending by units other than households. The gray line then removes owners’ equivalent rent. The final, heavy black line removes imputed financial services, pension income net of benefits payments, and a few other, much smaller imputed items. What we are left with is monetary expenditure for consumption by households. The trend here is essentially flat since 1980; it is simply not the case that household consumption spending has increased as a share of GDP.

So Figure 3 is showing the contributions of the blue factors in Figure 2. Note that while these do not involve any monetary outlay by households and thus cannot affect household balance sheets or debt, they do all contribute to measured household saving.

The gray factors involve household assets. No one denies, in principle, that balance sheets have both an asset side and a liability side; but it’s striking how much this is ignored in practice, with net and gross measures used interchangeably. In the first place, we have to take into account residential investment. Purchase of new housing is considered investment, and does not reduce measured saving; but it does of course involve monetary outlay and affects household balance sheets just as consumption spending does. [2] We also have take into account net acquisition of financial assets. An increase in spending relative to income moves household balance sheets toward deficit; this may be accommodated by increased borrowing, but it can just as well be accommodated by lower net purchases of financial assets. In some cases, higher desired accumulation of financial asset can also be an autonomous factor requiring balance sheet adjustment. (This is probably more important for other sectors, especially state and local governments, than for households.) The fact that adjustment can take place on the asset as well as the liability side is another reason there is no necessary connection between saving and debt growth.

Net accumulation of financial assets affects household borrowing, but not saving or aggregate demand. Residential investment also does not reduce measured saving, but it does increase aggregate demand as well as borrowing. The red line in Figure 3 adds residential investment by households to adjusted consumption spending. Now we can see that household spending on goods and services did indeed increase during the housing bubble period – conventional wisdom is right on that point. But this was a  spike of limited duration, not the secular increase that the standard consumption figures suggest.

Again, this is not just an issue in principle; historical variation in net acquisition of assets by the household sector is comparable to variation in borrowing. The decline in observed savings rates in the 1980s, in particular, was much more reflected in slower acquisition of assets than faster growth of debt. And the sharp fall in saving immediately prior to the great recession in part reflects the decline in residential investment, which peaked in 2005 and fell rapidly thereafter.

The cyan item is capital gains, the other factor, along with net accumulation, in growth of assets and net wealth. For the debt-demand story this is not important. But in other contexts it is. As I pointed out in my Crooked Timber post on Piketty, the growth in capital relative to GDP in the US is entirely explained by capital gains on existing assets, not by the accumulation dynamics described by his formula “r > g”.

Finally, the red items in Figure 2 are factors other than current spending and income that affect the debt-income ratio. Arjun Jayadev and I call this set of factors “Fisher dynamics,” after Irving Fisher’s discussion of them in his famous paper on the Great Depression. Interest payments reduce measured saving and shift balance sheets toward deficit, just like consumption; but they don’t contribute to aggregate demand. Defaults or charge-offs reduce the outstanding stock of debt, without affecting demand or measured savings. Like capital gains, they are a change in a stock without any corresponding flow. [3] Finally, the debt-income ratio has a denominator as well as a numerator; it can be raised just as well by slower nominal income growth as by higher borrowing.

These factors are the subject of two papers you can find here and here. The bottom line is that a large part of historical changes in debt ratios — including the entire long-term increase since 1980 — are the result of the items shown in red here.

So what’s the point of all this?

First, borrowing is not the opposite of saving. Not even roughly. Matthew Klein, like most people, immediately translates rising debt into declining saving. The first half of his post is all about that. But saving and debt are very different things. True, increased consumption spending does reduce saving and increase debt, all else equal. But saving also depends on third party spending and imputed spending and income that has no effect on household balance sheets. While debt growth depends, in addition to saving, on residential investment, net acquisition of financial assets, and the rate of chargeoffs; if we are talking about the debt-income ratio, as we usually are, then it also depends on nominal income growth. And these differences matter, historically. If you are interested in debt and household expenditure, you have to look at debt and expenditure. Not saving.

Second, when we do look at expenditure by households, there is no long-term increase in consumption. Consumption spending is flat since 1980. Housing investment – which does involve outlays by households and may require debt financing – does increase in the late 1990s and early 2000s, before falling back. Yes, this investment was associated with a big rise in borrowing, and yes, this borrowing did come significantly lower in the income distribution that borrowing in most periods. (Though still almost all in the upper half.) There was a debt-financed housing bubble. But we need to be careful to distinguish this episode from the longer-term rise in household debt, which has different roots.

 

[1] Think of it this way: If I ask why the return on an investment was 20 percent, there is no end to causal factors you can bring in, from favorable macroeconomic conditions to a sound business plan to your investing savvy or inside knowledge. But in accounting terms, the return is always explained by the income and the capital gains over the period. If you know both those components, you know the return; if you don’t, you don’t. The relationships in the figure are the second kind of explanation.

[2] Improvement of existing housing is also counted as investment, as are brokers’ commissions and other ownership transfer costs. This kind of spending will absorb some part of the flow of mortgage financing to the household sector — including the cash-out refinancing of the bubble period — but I haven’t seen an estimate of how much.

[3] There’s a strand of heterodox macro called “stock-flow consistent modeling.” Insofar as this simply means macroeconomics that takes aggregate accounting relationships seriously, I’m very much in favor of it. Social accounting matrices (SAMs) are an important and underused tool. But it’s important not to take the name too literally — economic reality is not stock-flow consistent!

 

Two Papers in Progress

There are two new papers on the articles page on this site. Both are work in progress – they haven’t been submitted anywhere yet.

 

[I’ve taken the debt-distribution paper down. It’s being revised.]

The Evolution of State-Local Balance Sheets in the US, 1953-2013

Slides

The first paper, which I presented in January in Chicago, is a critical assessment of the idea of a close link between income distribution and household debt. The idea is that rising debt is the result of rising inequality as lower-income households borrowed to maintain rising consumption standards in the face of stagnant incomes; this debt-financed consumption was critical to supporting aggregate demand in the period before 2008. This story is often associated with Ragnuram Rajan and Mian and Sufi but is also widely embraced on the left; it’s become almost conventional wisdom among Post Keynesian and Marxist economists. In my paper, I suggest some reasons for skepticism. First, there is not necessarily a close link between rising aggregate debt ratios and higher borrowing, and even less with higher consumption. Debt ratios depend on nominal income growth and interest payments as well as new borrowing, and debt mainly finances asset ownership, not current consumption. Second, aggregate consumption spending has not, contrary to common perceptions, risen as a share of GDP; it’s essentially flat since 1980. The apparent rise in the consumption share is entirely due to the combination of higher imputed noncash expenditure, such as owners’ equivalent rent; and third party health care spending (mostly Medicare). Both of these expenditure flows are  treated as household consumption in the national accounts. But neither involves cash outlays by households, so they cannot affect household balance sheets. Third, household debt is concentrated near the top of the income distribution, not the bottom. Debt-income ratios peak between the 85th and 90th percentiles, with very low ratios in the lower half of the distribution. Most household debt is owed by the top 20 percent by income. Finally, most studies of consumption inequality find that it has risen hand-in-hand with income inequality; it appears that stagnant incomes for most households have simply meant stagnant living standards. To the extent demand has been sustained by “excess” consumption, it was more likely by the top 5 percent.

The paper as written is too polemical. I need to make the tone more neutral, tentative, exploratory. But I think the points here are important and have not been sufficiently grappled with by almost anyone claiming a strong link between debt and distribution.

The second paper is on state and local debt – I’ve blogged a bit about it here in the past few months. The paper uses budget and balance sheet data from the census of governments to make two main points. First, rising state and local government debt does not imply state and local government budget deficits. higher debt does not imply higher deficits: Debt ratios can also rise either because nominal income growth slows, or because governments are accumulating assets more rapidly. For the state and local sector as a whole, both these latter factors explain more of the rise in debt ratios than does the fiscal balance. (For variation in debt ratios across state governments, nominal income growth is not important, but asset accumulation is.) Second, despite balanced budget requirements, state and local governments do show substantial variation in fiscal balances, with the sector as a whole showing deficits and surpluses up to almost one percent of GDP. But unlike the federal government, the state and local governments accommodate fiscal imbalances entirely by varying the pace of asset accumulation. Credit-market borrowing does not seem to play any role — either in the aggregate or in individual states — in bridging gaps between current expenditure and revenue.

I will try to blog some more about both these papers in the coming days. Needless to say, comments are very welcome.

How State Budgets Adjust

Here is a figure from the paper I’m presenting at the Eastern Economics Association meetings next weekend, on state and local government balance sheets:

State Government Finances 1999-2013. Source: Census of Governments, author’s analysis

This figure is just for aggregate state governments. It shows total borrowing (red), net acquisition of financial assets (blue), and the overall fiscal balance (black, with surplus as positive). It also shows the year over year change in the ratio of state debt to GDP (the gray dotted line). A number of interesting points come out here:

  • Despite statutory balanced-budget requirements, state budgets do show significant cyclical movement, from aggregate deficits of around 0.5 percent of GDP in recent recessions to surpluses as high as 0.5 percent of GDP in the expansions of the 1980s and 1990s (not shown here). Individual state governments show larger movements.
  • Shifts in state government fiscal balances are accommodated almost entirely on the asset side of the balance sheet. When state government revenue exceeds current expenditure, they buy financial assets; when revenue falls or expenditure rises, they sell financial assets (or buy less). State governments borrow in order to finance specific capital projects; unlike the federal government, they do not use credit-market borrowing to close gaps between current expenditure and revenue. (As I show in the paper, this is still true when we look at state governments cross-sectionally rather than aggregate data.) Between 2005 and 2009, state budgets moved from an aggregate surplus of around 0.3 percent of GDP to an aggregate deficit of around 0.5 percent. But borrowing over this period was completely flat – the entire shortfall was made up by reduced acquisition of financial assets.
  • The ratio of state government debt to GDP rose over the Great Recession period, by a total of about 2 points. While this is small compared with the increase in federal debt over the same period, it is certainly not trivial. Among other things, rising state debt ratios have been used as arguments for austerity and attacks on pubic-sector unions in a number of states. But as we see here, the entire rise in state debt-GDP ratios over this period is explained by slower growth. The ratio rose because of a smaller denominator, not a bigger numerator.
  • State debt ratios rose around the same time that state budgets moved into deficit. But there is no direct relationship between these two developments. Deficits were financed entirely through a reduction in assets. Simultaneously, the drastic slowdown in growth mean that even though state governments significantly reduced their borrowing, in dollar terms, during the recession, the ratio of debt to income rose. It is true, of course, that both the deficits and the growth slowdown were the result of the recession. But the increase in state debt ratios would have been exactly the same if state budgets had not moved to deficit at all.
  • Since 2010 there has been a simultaneous fall in state government borrowing and acquisition of assets. When these two variables vary together (as they also do across governments in some periods) it suggests that there is some autonomous balance sheet adjustment going on that can’t be reduced to the net financial position changing to accommodate real flows. (The fact that offsetting financial positions cannot in general be netted out is one of the main planks of Bezemer’s accounting view of economics.)

The pattern is similar in the previous recession. Although there was some increase in borrowing as state governments moved into deficit in 2002-2003, the large majority of the financing was on the asset side.

The larger significance of all this, and the data underlying it, is discussed more in the paper.  I will post that here next week. In the meantime, the two big takeaways are, first, that a lot of historical variation in debt ratios are driven by the effect of different nominal growth rates on the existing debt stock rather than by new borrowing; and that state governments don’t finance budget imbalances on the liability side of their balance sheets, but on the asset side.

(Earlier posts based on the same work here and here.)