The Slack Wire

“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. 1 

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.2

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.3 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.4 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.5  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.6 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.

 

Strange Defeat

Anyone who found something useful or provoking in my Jacobin piece on the state of economics might also be interested in this 2013 article by me and Arjun Jayadev, “Strange Defeat: How Austerity Economics Lost All the Intellectual Battles and Still WOn the War.” It covers a good deal of the same ground, a bit more systematically but without the effort to find the usable stuff in mainstream macro that I made in the more recent piece. Perhaps there wasn’t so much of it five years ago!

Here are some excerpts; you can read the full piece here.

* * * 

The extent of the consensus in mainstream macroeconomic theory is often obscured by the intensity of the disagreements over policy…  In fact, however, the contending schools and their often heated debates obscure the more fundamental consensus among mainstream macroeconomists. Despite the label, “New Keynesians” share the core commitment of their New Classical opponents to analyse the economy only in terms of the choices of a representative agent optimising over time. For New Keynesians as much as New Classicals, the only legitimate way to answer the question of why the economy is in the state it is in, is to ask under what circumstances a rational planner, knowing the true probabilities of all possible future events, would have chosen exactly this outcome as the optimal one. Methodologically, Keynes’ vision of psychologically complex agents making irreversible decisions under conditions of fundamental uncertainty has been as completely repudiated by the “New Keynesians” as by their conservative opponents.

For the past 30 years the dominant macroeconomic models that have been in use by central banks and leading macroeconomists have … ranged from what have been termed real business cycle theory approaches on the one end to New Keynesian approaches on the other: perspectives that are considerably closer in flavour and methodological commitments to each other than to the “old Keynesian” approaches embodied in such models as the IS-LM framework of undergraduate economics. In particular, while demand matters in the short run in New Keynesian models, it can have no effect in the long run; no matter what, the economy always eventually returns to its full-employment growth path.

And while conventional economic theory saw the economy as self-equilibrating, economic policy discussion was dominated by faith in the stabilising powers of central banks and in the wisdom of “sound finance”. … Some of the same economists, who today are leading the charge against austerity, were arguing just as forcefully a few years ago that the most important macroeconomic challenge was reducing the size of public debt…. New Keynesians follow Keynes in name only; they have certainly given better policy advice than the austerians in recent years, but such advice does not always flow naturally from their models.

The industrialised world has gone through a prolonged period of stagnation and misery and may have worse ahead of it. Probably no policy can completely tame the booms and busts that capitalist economies are subject to. And even those steps that can be taken will not be taken without the pressure of strong popular movements challenging governments from the outside. The ability of economists to shape the world, for good or for ill is strictly circumscribed. Still, it is undeniable that the case for austerity – so weak on purely intellectual grounds – would never have conquered the commanding heights of policy so easily if the way had not been prepared for it by the past 30 years of consensus macroeconomics. Where the possibility and political will for stimulus did exist, modern economics – the stuff of current scholarship and graduate education – tended to hinder rather than help. While when the turn to austerity came, even shoddy work could have an outsize impact, because it had the whole weight of conventional opinion behind it. For this the mainstream of the economics profession – the liberals as much as the conservatives – must take some share of the blame.

In Jacobin: A Demystifying Decade for Economics

(The new issue of Jacobin has a piece by me on the state of economics ten years after the crisis. The published version is here. I’ve posted a slightly expanded version below. Even though Jacobin was generous with the word count and Seth Ackerman’s edits were as always superb, they still cut some material that, as king of the infinite space of this blog, I would rather include.)

 

For Economics, a Demystifying Decade

Has economics changed since the crisis? As usual, the answer is: It depends. If we look at the macroeconomic theory of PhD programs and top journals, the answer is clearly, no. Macroeconomic theory remains the same self-contained, abstract art form that it has been for the past twenty-five years. But despite its hegemony over the peak institutions of academic economics, this mainstream is not the only mainstream. The economics of the mainstream policy world (central bankers, Treasury staffers, Financial Times editorialists), only intermittently attentive to the journals in the best times, has gone its own way; the pieties of a decade ago have much less of a hold today. And within the elite academic world, there’s plenty of empirical work that responds to the developments of the past ten years, even if it doesn’t — yet — add up to any alternative vision.

For a socialist, it’s probably a mistake to see economists primarily as either carriers of valuable technical expertise or systematic expositors of capitalist ideology. They are participants in public debates just like anyone else. The profession as the whole is more often found trailing after political developments than advancing them.

***

The first thing to understand about macroeconomic theory is that it is weirder than you think. The heart of it is the idea that the economy can be thought of as a single infinite-lived individual trading off leisure and consumption over all future time. For an orthodox macroeconomist – anyone who hoped to be hired at a research university in the past 30 years – this approach isn’t just one tool among others. It is macroeconomics. Every question has to be expressed as finding the utility-maximizing path of consumption and production over all eternity, under a precisely defined set of constraints. Otherwise it doesn’t scan.

This approach is formalized in something called the Euler equation, which is a device for summing up an infinite series of discounted future values. Some version of this equation is the basis of most articles on macroeconomic theory published in a mainstream journal in the past 30 years.It might seem like an odd default, given the obvious fact that real economies contain households, businesses, governments and other distinct entities, none of whom can turn income in the far distant future into spending today. But it has the advantage of fitting macroeconomic problems — which at face value involve uncertainty, conflicting interests, coordination failures and so on — into the scarce-means-and-competing-ends Robinson Crusoe vision that has long been economics’ home ground.

There’s a funny history to this technique. It was invented by Frank Ramsey, a young philosopher and mathematician in Keynes’ Cambridge circle in the 1920s, to answer the question: If you were organizing an economy from the top down and had to choose between producing for present needs versus investing to allow more production later, how would you decide the ideal mix? The Euler equation offers a convenient tool for expressing the tradeoff between production in the future versus production today.

This makes sense as a way of describing what a planner should do. But through one of those transmogrifications intellectual history is full of, the same formalism was picked up and popularized after World War II by Solow and Samuelson as a description of how growth actually happens in capitalist economies. The problem of macroeconomics has continued to be framed as how an ideal planner should direct consumption and production to produce the best outcomes for anyone, often with the “ideal planner” language intact. Pick up any modern economics textbook and you’ll find that substantive questions can’t be asked except in terms of how a far sighted agent would choose this path of consumption as the best possible one allowed by the model.

There’s nothing wrong with adopting a simplified formal representation of a fuzzier and more complicated reality. As Marx said, abstraction is the social scientist’s substitute for the microscope or telescope. But these models are not simple by any normal human definition. The models may abstract away from features of the world that non-economists might think are rather fundamental to “the economy” — like the existence of businesses, money, and government — but the part of the world they do represent — the optimal tradeoff between consumption today and consumption tomorrow — is described in the greatest possible detail. This combination of extreme specificity on one dimension and extreme abstraction on the others might seem weird and arbitrary. But in today’s profession, if you don’t at least start from there, you’re not doing economics.

At the same time, many producers of this kind of models do have a quite realistic understanding of the behavior of real economies, often informed by first-hand experience in government. The combination of tight genre constraints and real insight leads to a strange style of theorizing, where the goal is to produce a model that satisfies the the conventions of the discipline while arriving at a conclusion that you’ve already reached by other means. Michael Woodford, perhaps the leading theorist of “New Keynesian” macroeconomics, more or less admits that the purpose of his models is to justify the countercyclical interest rate policy already pursued by central banks in a language acceptable to academic economists. Of course the central bankers themselves don’t learn anything from such an exercise — and you will scan the minutes of Fed meetings in vain for discussion of first-order ARIMA technology shocks — but they  presumably find it reassuring to hear that what they already thought is consistent with the most modern economic theory. It’s the economic equivalent of the college president in Randall Jarrell’s Pictures from an Institution:

About anything, anything at all, Dwight Robbins believed what Reason and Virtue and Tolerance and a Comprehensive Organic Synthesis of Values would have him believe. And about anything, anything at all, he believed what it was expedient for the president of Benton College to believe. You looked at the two beliefs, and lo! the two were one. Do you remember, as a child without much time, turning to the back of the arithmetic book, getting the answer to a problem, and then writing down the summary hypothetical operations by which the answer had been, so to speak, arrived at? It is the only method of problem-solving that always gives correct answers…

The development of theory since the crisis has followed this mold. One prominent example: After the crash of 2008, Paul Krugman immediately began talking about the liquidity trap and the “perverse” Keynesian claims that become true when interest rates were stuck at zero. Fiscal policy was now effective, there was no danger in inflation from increases in the money supply, a trade deficit could cost jobs, and so on. He explicated these ideas with the help of the “IS-LM” models found in undergraduate textbooks — genuinely simple abstractions that haven’t played a role in academic work in decades.

Some years later, he and Gautti Eggertson unveiled a model in the approved New Keynesian style, which showed that, indeed, if interest rates  were fixed at zero then fiscal policy, normally powerless, now became highly effective. This exercise may have been a display of technical skill (I suppose; I’m not a connoisseur) but what do we learn from it? After all, generating that conclusion was the announced  goal from the beginning. The formal model was retrofitted to generate the argument that Krugman and others had been making for years, and lo! the two were one.

It’s a perfect example of Joan Robinson’s line that economic theory is the art of taking a rabbit out of a hat, when you’ve just put it into the hat in full view of the audience. I suppose what someone like Krugman might say in his defense is that he wanted to find out if the rabbit would fit in the hat. But if you do the math right, it always does.

(What’s funnier in this case is that the rabbit actually didn’t fit, but they insisted on pulling it out anyway. As the conservative economist John Cochrane gleefully pointed out, the same model also says that raising taxes on wages should also boost employment in a liquidity trap. But no one believed that before writing down the equations, so they didn’t believe it afterward either. As Krugman’s coauthor Eggerston judiciously put it, “there may be reasons outside the model” to reject the idea that increasing payroll taxes is a good idea in a recession.)

Left critics often imagine economics as an effort to understand reality that’s gotten hopelessly confused, or as a systematic effort to uphold capitalist ideology. But I think both of these claims are, in a way, too kind; they assume that economic theory is “about” the real world in the first place. Better to think of it as a self-constrained art form, whose apparent connections to economic phenomena are results of a confusing overlap in vocabulary. Think about chess and medieval history: The statement that “queens are most effective when supported by strong bishops” might be reasonable in both domains, but its application in the one case will tell you nothing about its application in the other.

Over the past decade, people (such as, famously, Queen Elizabeth) have often asked why economists failed to predict the crisis. As a criticism of economics, this is simultaneously setting the bar too high and too low. Too high, because crises are intrinsically hard to predict. Too low, because modern macroeconomics doesn’t predict anything at all.  As Suresh Naidu puts it, the best way to think about what most economic theorists do is as a kind of constrained-maximization poetry. It makes no more sense to ask “is it true” than of a haiku.

***

While theory buzzes around in its fly-bottle, empirical macroeconomics, more attuned to concrete developments, has made a number of genuinely interesting departures. Several areas have been particularly fertile: the importance of financial conditions and credit constraints; government budgets as a tool to stabilize demand and employment; the links between macroeconomic outcomes and the distribution of income; and the importance of aggregate demand even in the long run.

Not surprisingly, the financial crisis spawned a new body of work trying to assess the importance of credit, and financial conditions more broadly, for macroeconomic outcomes. (Similar bodies of work were produced in the wake of previous financial disruptions; these however don’t get much cited in the current iteration.) A large number of empirical papers tried to assess how important access to credit was for household spending and business investment, and how much of the swing from boom to bust could be explained by the tighter limits on credit. Perhaps the outstanding figures here are Atif Mian and Amir Sufi, who assembled a large body of evidence that the boom in lending in the 2000s reflected mainly an increased willingness to lend on the part of banks, rather than an increased desire to borrow on the part of families; and that the subsequent debt overhang explained a large part of depressed income and employment in the years after 2008.

While Mian and Sufi occupy solidly mainstream positions (at Princeton and Chicago, respectively), their work has been embraced by a number of radical economists who see vindication for long-standing left-Keynesian ideas about the financial roots of economic instability. Markus Brunnermeier (also at Princeton) and his coauthors have also done interesting work trying to untangle the mechanisms of the 2008 financial crisis and to generalize them, with particular attention to the old Keynesian concept of liquidity. That finance is important to the economy is not, in itself, news to anyone other than economists; but this new empirical work is valuable in translating this general awareness into concrete usable form.

A second area of renewed empirical interest is fiscal policy — the use of the government budget to manage aggregate demand. Even more than with finance, economics here has followed rather than led the policy debate. Policymakers were turning to large-scale fiscal stimulus well before academics began producing studies of its effectiveness. Still, it’s striking how many new and sophisticated efforts there have been to estimate the fiscal multiplier — the increase in GDP generated by an additional dollar of government spending.

In the US, there’s been particular interest in using variation in government spending and unemployment across states to estimate the effect of the former on the latter. The outstanding work here is probably that of Gabriel Chodorow-Reich. Like most entries in this literature, Chodorow-Reich’s suggests fiscal multipliers that are higher than almost any mainstream economist would have accepted a decade ago, with each dollar of government spending adding perhaps two dollars to GDP. Similar work has been published by the IMF, which acknowledged that past studies had “significantly underestimated” the positive effects of fiscal policy. This mea culpa was particularly striking coming from the global enforcer of economic orthodoxy.

The IMF has also revisited its previously ironclad opposition to capital controls — restrictions on financial flows across national borders. More broadly, it has begun to offer, at least intermittently, a platform for work challenging the “Washington Consensus” it helped establish in the 1980s, though this shift predates the crisis of 2008. The changed tone coming out of the IMF’s research department has so far been only occasionally matched by a change in its lending policies.

Income distribution is another area where there has been a flowering of more diverse empirical work in the past decade. Here of course the outstanding figure is Thomas Piketty. With his collaborators (Gabriel Zucman, Emmanuel Saez and others) he has practically defined a new field. Income distribution has always been a concern of economists, of course, but it has typically been assumed to reflect differences in “skill.” The large differences in pay that appeared to be unexplained by education, experience, and so on, were often attributed to “unmeasured skill.” (As John Eatwell used to joke: Hegemony means you get to name the residual.)

Piketty made distribution — between labor and capital, not just across individuals — into something that evolves independently, and that belongs to the macro level of the economy as a whole rather than the micro level of individuals. When his book Capital in the 21st Century was published, a great deal of attention was focused on the formula “r > g,” supposedly reflecting a deep-seated tendency for capital accumulation to outpace economic growth. But in recent years there’s been an interesting evolution in the empirical work Piketty and his coauthors have published, focusing on countries like Russia/USSR and China, etc., which didn’t feature in the original survey. Political and institutional factors like labor rights and the legal forms taken by businesses have moved to center stage, while the formal reasoning of “r > g” has receded — sometimes literally to a footnote. While no longer embedded in the grand narrative of Capital in the 21st Century, this body of empirical work is extremely valuable, especially since Piketty and company are so generous in making their data publicly available. It has also created space for younger scholars to make similar long-run studies of the distribution of income and wealth in countries that the Piketty team hasn’t yet reached, like Rishabh Kumar’s superb work on India. It has also been extended by other empirical economists, like Lukas Karabarbounis and coauthors, who have looked at changes in income distribution through the lens of market power and the distribution of surplus within the corporation — not something a University of Chicago economist would have ben likely to study a decade ago.

A final area where mainstream empirical work has wandered well beyond its pre-2008 limits is the question of whether aggregate demand — and money and finance more broadly — can affect long-run economic outcomes. The conventional view, still dominant in textbooks, draws a hard line between the short run and the long run, more or less meaning a period longer than one business cycle. In the short run, demand and money matter. But in the long run, the path of the economy depends strictly on “real” factors — population growth, technology, and so on.

Here again, the challenge to conventional wisdom has been prompted by real-world developments. On the one hand, weak demand — reflected in historically low interest rates — has seemed to be an ongoing rather than a cyclical problem. Lawrence Summers dubbed this phenomenon “secular stagnation,” reviving a phrase used in the 1940s by the early American Keynesian Alvin Hansen.

On the other hand, it has become increasingly clear that the productive capacity of the economy is not something separate from current demand and production levels, but dependent on them in various ways. Unemployed workers stop looking for work; businesses operating below capacity don’t invest in new plant and equipment or develop new technology. This has manifested itself most clearly in the fall in labor force participation over the past decade, which has been considerably greater than can be explained on the basis of the aging population or other demographic factors. The bottom line is that an economy that spends several years producing less than it is capable of, will be capable of producing less in the future. This phenomenon, usually called “hysteresis,” has been explored by economists like Laurence Ball, Summers (again) and Brad DeLong, among others. The existence of hysteresis, among other implications, suggests that the costs of high unemployment may be greater than previously believed, and conversely that public spending in a recession can pay for itself by boosting incomes and taxes in future years.

These empirical lines are hard to fit into the box of orthodox theory — not that people don’t try. But so far they don’t add up to more than an eclectic set of provocative results. The creativity in mainstream empirical work has not yet been matched by any effort to find an alternative framework for thinking of the economy as a whole. For people coming from non-mainstream paradigms — Marxist or Keynesian — there is now plenty of useful material in mainstream empirical macroeconomics to draw on – much more than in the previous decade. But these new lines of empirical work have been forced on the mainstream by developments in the outside world that were too pressing to ignore. For the moment, at least, they don’t imply any systematic rethinking of economic theory.

***

Perhaps the central feature of the policy mainstream a decade ago was a smug and, in retrospect, remarkable complacency that the macroeconomic problem had been solved by independent central banks like the Federal Reserve.  For a sense of the pre-crisis consensus, consider this speech by a prominent economist in September 2007, just as the US was heading into its worst recession since the 1930s:

One of the most striking facts about macropolicy is that we have progressed amazingly. … In my opinion, better policy, particularly on the part of the Federal Reserve, is directly responsible for the low inflation and the virtual disappearance of the business cycle in the last 25 years. … The story of stabilization policy of the last quarter century is one of amazing success.

You might expect the speaker to be a right-wing Chicago type like Robert Lucas, whose claim that “the problem of depression prevention has been solved” was widely mocked after the crisis broke out. But in fact it was Christina Romer, soon headed to Washington as the Obama administration’s top economist. In accounts of the internal debates over fiscal policy that dominated the early days of the administration, Romer often comes across as one of the heroes, arguing for a big program of public spending against more conservative figures like Summers. So it’s especially striking that in the 2007 speech she spoke of a “glorious counterrevolution” against Keynesian ideas. Indeed, she saw the persistence of the idea of using deficit spending to fight unemployment as the one dark spot in an otherwise cloudless sky. There’s more than a little irony in the fact that opponents of the massive stimulus Romer ended up favoring drew their intellectual support from exactly the arguments she had been making just a year earlier. But it’s also a vivid illustration of a consistent pattern: ideas have evolved more rapidly in the world of practical policy than among academic economists.

For further evidence, consider a 2016 paper by Jason Furman, Obama’s final chief economist, on “The New View of Fiscal Policy.” As chair of the White House Council of Economic Advisers, Furman embodied the policy-economics consensus ex officio. Though he didn’t mention his predecessor by name, his paper was almost a point-by-point rebuttal of Romer’s “glorious counterrevolution” speech of a decade earlier. It starts with four propositions shared until recently by almost all respectable economists: that central banks can and should stabilize demand all by themselves, with no role for fiscal policy; that public deficits raise interest rates and crowd out private investment; that budget deficits, even if occasionally called for, need to be strictly controlled with an eye on the public debt; and that any use of fiscal policy must be strictly short-term.

None of this is true, suggests Furman. Central banks cannot reliably stabilize modern economies on their own, increased public spending should be a standard response to a downturn, worries about public debt are overblown, and stimulus may have to be maintained indefinitely. While these arguments obviously remain within a conventional framework in which the role of the public sector is simply to maintain the flow of private spending at a level consistent with full employment, they nonetheless envision much more active management of the economy by the state. It’s a remarkable departure from textbook orthodoxy for someone occupying such a central place in the policy world.

Another example of orthodoxy giving ground under the pressure of practical policymaking is Narayana Kocherlakota. When he was appointed as President of the Federal Reserve Bank of Minneapolis, he was on the right of debates within the Fed, confident that if the central bank simply followed its existing rules the economy would quickly return to full employment, and rejecting the idea of active fiscal policy. But after a few years on the Fed’s governing Federal Open Market Committee (FOMC), he had moved to the far left, “dovish” end of opinion, arguing strongly for a more aggressive approach to bringing unemployment down by any means available, including deficit spending and more aggressive unconventional tools at the Fed. This meant rejecting much of his own earlier work, perhaps the clearest example of a high-profile economist repudiating his views after the crisis; in the process, he got rid of many of the conservative “freshwater” economists in the Minneapolis Fed’s research department.

The reassessment of central banks themselves has run on parallel lines but gone even farther.

For twenty or thirty years before 2008, the orthodox view of central banks offered a two-fold defense against the dangerous idea — inherited from the 1930s — that managing the instability of capitalist economies was a political problem. First, any mismatch between the economy’s productive capabilities (aggregate supply) and the desired purchases of households and businesses (aggregate demand) could be fully resolved by the central bank; the technicians at the Fed and its peers around the world could prevent any recurrence of mass unemployment or runaway inflation. Second, they could do this by following a simple, objective rule, without any need to balance competing goals.

During those decades, Alan Greenspan personified the figure of the omniscient central banker. Venerated by presidents of both parties, Greenspan was literally sanctified in the press — a 1990 cover of The International Economy had him in papal regalia, under the headline, “Alan Greenspan and His College of Cardinals.” A decade later, he would appear on the cover of Time as the central figure in “The Committee to Save the World,” flanked by Robert Rubin and the ubiquitous Summers. And a decade after that he showed up as Bob Woodward’s eponymous Maestro.

In the past decade, this vision of central banks and central bankers has eroded from several sides. The manifest failure to prevent huge falls in output and employment after 2008 is the most obvious problem. The deep recessions in the US, Europe and elsewhere make a mockery of the “virtual disappearance of the business cycle” that people like Romer had held out as the strongest argument for leaving macropolicy to central banks. And while Janet Yellen or Mario Draghi may be widely admired, they command nothing like the authority of a Greenspan.

The pre-2008 consensus is even more profoundly undermined by what central banks did do than what they failed to do. During the crisis itself, the Fed and other central banks decided which financial institutions to rescue and which to allow to fail, which creditors would get paid in full and which would face losses. Both during the crisis and in the period of stagnation that followed, central banks also intervened in a much wider range of markets, on a much larger scale. In the US, perhaps the most dramatic moment came in late summer 2008, when the commercial paper market — the market for short-term loans used by the largest corporations — froze up, and the Fed stepped in with a promise to lend on its own account to anyone who had previously borrowed there. This watershed moment took the Fed from its usual role of regulating and supporting the private financial system, to simply replacing it.

That intervention lasted only a few months, but in other markets the Fed has largely replaced private creditors for a number of years now. Even today, it is the ultimate lender for about 20 percent of new mortgages in the United States. Policies of quantitative easing, in the US and elsewhere, greatly enlarged central banks’ weight in the economy — in the US, the Fed’s assets jumped from 6 percent of GDP to 25 percent, an expansion that is only now beginning to be unwound.  These policies also committed central banks to targeting longer-term interest rates, and in some cases other asset prices as well, rather than merely the overnight interest rate that had been the sole official tool of policy in the decades before 2008.

While critics (mostly on the Right) have objected that these interventions “distort” financial markets, this makes no sense from the perspective of a practical central banker. As central bankers like the Fed’s Ben Bernanke or the Bank of England’s Adam Posen have often said in response to such criticism, there is no such thing as an “undistorted” financial market. Central banks are always trying to change financial conditions to whatever it thinks favors full employment and stable prices. But as long as the interventions were limited to a single overnight interest rate, it was possible to paper over the contradiction between active monetary policy and the idea of a self-regulating economy, and pretend that policymakers were just trying to follow the “natural” interest rate, whatever that is. The much broader interventions of the past decade have brought the contradiction out into the open.

The broad array of interventions central banks have had to carry out over the past decade have also provoked some second thoughts about the functioning of financial markets even in normal times. If financial markets can get things wrong so catastrophically during crises, shouldn’t that affect our confidence in their ability to allocate credit the rest of the time? And if we are not confident, that opens the door for a much broader range of interventions — not only to stabilize markets and maintain demand, but to affirmatively direct society’s resources in better ways than private finance would do on its own.

In the past decade, this subversive thought has shown up in some surprisingly prominent places. Wearing his policy rather than his theory hat, Paul Krugman sees

… a broader rationale for policy activism than most macroeconomists—even self-proclaimed Keynesians—have generally offered in recent decades. Most of them… have seen the role for policy as pretty much limited to stabilizing aggregate demand. … Once we admit that there can be big asset mispricing, however, the case for intervention becomes much stronger… There is more potential for and power in [government] intervention than was dreamed of in efficient-market models.

From another direction, the notion that macroeconomic policy does not involve conflicting interests has become harder to sustain as inflation, employment, output and asset prices have followed diverging paths. A central plank of the pre-2008 consensus was the aptly named “divine coincidence,” in which the same level of demand would fortuitously and simultaneously lead to full employment, low and stable inflation, and production at the economy’s potential. Operationally, this was embodied in the “NAIRU” — the level of unemployment below which, supposedly, inflation would begin to rise without limit.

Over the past decade, as estimates of the NAIRU have fluctuated almost as much as the unemployment rate itself, it’s become clear that the NAIRU is too unstable and hard to measure to serve as a guide for policy, if it exists at all. It is striking to see someone as prominent as IMF chief economist Olivier Blanchard write (in 2016) that “the US economy is far from satisfying the ‘divine coincidence’,” meaning that stabilizing inflation and minimizing unemployment are two distinct goals. But if there’s no clear link between unemployment and inflation, it’s not clear why central banks should worry about low unemployment at all, or how they should trade off the risks of prices rising undesirably fast against the risk of too-high unemployment. With surprising frankness, high officials at the Fed and other central banks have acknowledged that they simply don’t know what the link between unemployment and inflation looks like today.

To make matters worse, a number of prominent figures — most vocally at the Bank for International Settlements — have argued that we should not be concerned only with conventional price inflation, but also with the behavior of asset prices, such as stocks or real estate. This “financial stability” mandate, if it is accepted, gives central banks yet another mission. The more outcomes central banks are responsible for, and the less confident we are that they all go together, the harder it is to treat central banks as somehow apolitical, as not subject to the same interplay of interests as the rest of the state.

Given the strategic role occupied by central banks in both modern capitalist economies and economic theory, this rethinking has the potential to lead in some radical directions. How far it will actually do so, of course, remains to be seen. Accounts of the Fed’s most recent conclave in Jackson Hole, Wyoming suggest a sense of “mission accomplished” and a desire to get back to the comfortable pieties of the past. Meanwhile, in Europe, the collapse of the intellectual rationale for central banks has been accompanied by the development of the most powerful central bank-ocracy the world has yet seen. So far the European Central Bank has not let its lack of democratic mandate stop it from making coercive intrusions into the domestic policies of its member states, or from serving as the enforcement arm of Europe’s creditors against recalcitrant debtors like Greece.

One thing we can say for sure: Any future crisis will bring the contradictions of central banks’ role as capitalism’s central planners into even sharper relief.

***

Many critics were disappointed the crisis of a 2008 did not lead to an intellectual revolution on the scale of the 1930s. It’s true that it didn’t. But the image of stasis you’d get from looking at the top journals and textbooks isn’t the whole picture — the most interesting conversations are happening somewhere else. For a generation, leftists in economics have struggled to change the profession, some by launching attacks (often well aimed, but ignored) from the outside, others by trying to make radical ideas parsable in the orthodox language. One lesson of the past decade is that both groups got it backward.

Keynes famously wrote that “Practical men who believe themselves to be quite exempt from any intellectual influence, are usually the slaves of some defunct economist.” It’s a good line. But in recent years the relationship seems to have been more the other way round. If we want to change the economics profession, we need to start changing the world. Economics will follow.

Thanks to Arjun Jayadev, Ethan Kaplan, Mike Konczal and Suresh Naidu for helpful suggestions and comments.

How to Read a Regression

As I mentioned in an earlier post, I am for the first time teaching a class in quantiative methods in John Jay’s new economics MA program.[footnote]If you’re curious about this program, please email me at profjwmason@gmail.com.[/footnote] One thing I’ve found is that the students, even those who have taken econometrics or statistics classes before, really benefit from an explanation fo how to read regression results — what exactly all the numbers you find in a regression table actually mean. I’m sure there is a textbook out there that gives a good, clear, comprehensive, accessible explanation of how to read regression results, but I haven’t found it. Besides, I like making my own materials. Among other things, it’s a good way to be sure you understand things yourself, and to clarify how you think people should think about them. So I’ve been writing my own notes on how to read a regression. They are on my teaching materials page, along with lots of macroeconomics notes and a few other things.

If you teach an introductory econometrics or statistics class, take a look, and feel free to use them if they seem helpful. Or if you are taking one, or just curious. And if anything seems wrong or confusing to you, or if you know of something similar but more polished and complete — or just better — please let me know.

By the way, these notes, like my macroeconomics notes, are written in latex using the tufte-handout package.

Link: A guide to regressions

Now Playing Everywhere

This Businessweek story on the Sears bankruptcy is like the perfect business action-adventure story for our times.

First act: Brash young(ish) hedge fund guy takes over iconic American business, forces through closures and layoffs, makes lots of money for his friends.

From the moment he bought into what was then called Sears, Roebuck & Co., he also maneuvered to protect his financial interests. At times, he even made money. He closed stores, fired employees and … carved out some choice assets for himself.

All seems to be going well. But now the second act: He gets too attached, and instead of passing the drained but still functioning business onto some other sucker, imagines he can run it himself. But managing a giant retailer is harder than it looks. Getting on a videoconference a couple times a week and telling the executives that they’re idiots isn’t enough to turn things around.

But the big mistake was even trying to. Poor Eddie Lampert has forgotten “the investors’ commandment: Get out in time.” That’s always the danger for money and its human embodiments — to get drawn into some business, some concrete human activity, instead of returning to its native immaterial form. Once the wasp larva has sucked the caterpillar dry, it needs to get out and turn back into a wasp, not go shambling around in the husk. This one waited too long.

Not even Lampert’s friends could understand why the hedge-fund manager, once hailed as a young Warren Buffett, clung to his spectacularly bad investment in Sears, a dying department store chain. … After 13 years under Lampert’s stewardship, Sears finally seems to be hurtling toward bankruptcy, if not outright liquidation. And, once again, Wall Street is wondering what Eddie Lampert will salvage for himself and his $1.3 billion fund, ESL Investments Inc., whose future may now be in doubt.

Oh no! Will the fund survive? Don’t worry, there’s a third act. Sears may have crashed and burned,  but it turns out Lampert had a parachute – he set himself up as the senior creditor in the bankruptcy, and presciently spun off the best assets for himself.

Under the filing the company is said to be preparing for as soon as this weekend, he and ESL — together they hold almost 50 percent of the shares — would be at the head of the line when the remnants are dispersed. As secured creditors, Lampert and the fund could get 100 cents on the dollar… And Lampert carved out what looked like — and in some cases might yet be — saves for himself, with spinoffs that gave him chunks of equity in new companies. One was Seritage Growth Properties, the real estate investment trust that counts Sears as its biggest tenant and of which Lampert is the largest shareholder; he created it in 2015 to hold stores that were leased back to Sears — cordoning those off from any bankruptcy proceeding. He and ESL got a majority stake in Land’s End Inc., the apparel and accessories maker he split from Sears in 2014.

The fund is saved. The business crashes but the money escapes. The billionaire is still a billionaire, battered but upright, dramatically backlit by the flames from the wreckage behind him. Credits roll.

 

Acquisitions as Corporate Money Hose

Among the small group of heterodox economics people interested in corporate finance, it is common knowledge that the stock market is a tool for moving money out of the corporate sector, not into it.  Textbooks may talk about stock markets as a tool for raising funds for investment, but this kind of financing is dwarfed by the payments each year from the corporations to shareholders.

The classic statement, as is often the case, is in Doug Henwood’s Wall Street:

Instead of promoting investment, the U.S. financial system seems to do quite the opposite… Take, for example, the stock market, which is probably the centerpiece of the whole enterprise. What does it do? Both civilians and professional apologists would probably answer by saying that it raises capital for investment. In fact it doesn’t. Between 1981 and 1997, U.S. nonfinancial corporations retired $813 billion more in stock than they issued, thanks to takeovers and buybacks. Of course, some individual firms did issue stock to raise money, but surprisingly little of that went to investment either. A Wall Street Journal article on 1996’s dizzying pace of stock issuance (McGeehan 1996) named overseas privatizations (some of which, like Deutsche Telekom, spilled into U.S. markets) “and the continuing restructuring of U.S. corporations” as the driving forces behind the torrent of new paper. In other words, even the new-issues market has more to do with the arrangement and rearrangement of ownership patterns than it does with raising fresh capital.

The pattern of negative net share issues has if anything only gotten stronger in the 20 years since then, with net equity issued by US corporations averaging around negative 2 percent of GDP. That’s the lower line in the figure below:

Source

 

Note that in the passage I quote, Doug correctly writes “takeovers and buybacks.” But a lot of other people writing in this area — definitely including me — have focused on just the buyback part. We’ve focused on a story in which corporate managers choose — are compelled or pressured or incentivized — to deliver more of the firm’s surplus funds to shareholders, rather than retaining them for real investment. And these payouts have increasingly taken the form of share repurchases rather than dividends.

In telling this story, we’ve often used the negative net issue of equity as a measure of buybacks. At the level of the individual corporation, this is perfectly reasonable: A firm’s net issue of stocks is simply its new issues less repurchases. So the net issue is a measure of the total funds raised from shareholders — or if it is negative, as it generally is, of the payments made to them.

It’s natural to extend this to the aggregate level, and assume that the net change in equities outstanding similarly reflects the balance between new issues and repurchases. William Lazonick, for instance, states as a simple matter of fact that “buybacks are largely responsible for negative net equity issues.” 7 But are they really?

If we are looking at a given corporation over time, the only way the shares outstanding can decline is via repurchases.8 But at the aggregate level, lots of other things can be responsible — bankruptcies, other changes in legal organization, acquisitions. Quantitatively the last of these is especially important.   Of course when acquisitions are paid in stock, the total volume of shares doesn’t change. But when they are paid in cash, it does. 9 In the aggregate, when publicly trade company A pays $1 billion to acquire publicly traded company B, that is just a payment from the corproate sector to the household sector of $1 billion, just as if the corporation were buying back its own stock. But if we want to situate the payment in any kind of behavioral or institutional or historical story, the two cases may be quite different.

Until recently, there was no way to tell how much of the aggregate share retirements were due to repurchases and how much were due to acquisitions or other causes.10 The financial accounts reported only a single number, net equity issues. (So even the figure above couldn’t be produced with aggregate data, only the lower line in it.) Under these circumstances the assumption that that buybacks were the main factor was reasonable, or at least as reasonable as any other.

Recently, though, the Fed has begun reporting more detailed equity-finance flows, which break out the net issue figure into gross issues, repurchases, and retirements by acquisition. And it turns out that while buybacks are substantial, acquisitions are actually a bigger factor in negative net stock issues. Over the past 20 years, gross equity issues have averaged 1.9 percent of GDP, repurchases have averaged 1.7 percent of GDP, and retirements via acquisitions just over 2 percent of GDP. So if we look only at corporations’ transactions in their own stock, it seems that that the stock market still is — barely — a net source of funds. For the corproate sector as a whole, of course, it is still the case that the stock market is, in Jeff Spross’ memorable phrase, a giant money hose to nowhere.

The figure below shows dividends, gross equity issues, repurchases and M&A retirements, all as a percent of GDP.

Source

What do we see here? First, the volume of shares retired through acquisitions is consistently, and often substantially, greater than the volume retired through repurchases. If you look just at the aggregate net equity issue you would think that share repurchases were now comparable to dividends as a means of distributing profits to shareholders; but it’s clear here that that’s not the case. Share repurchases plus acquisitions are about equal to dividends, but repurchases by themselves are half the size of dividends — that is, they account for only around a third of shareholder payouts.

One particular period the new data changes the picture is the tech boom period around 2000. Net equity issues were significantly negative in that period, on the order of 1 percent of GDP. But as we can now see, that was entirely due to an increased volume of acquisitions. Repurchases were flat and, by the standard of more recent periods, relatively low. So the apparent paradox that even during an investment boom businesses were paying out far more to shareholders than they were taking in, is not quite such a puzzle. If you were writing a macroeconomic history of the 1990s-2000s, this would be something to know.

It’s important data. I think it clarifies a lot and I hope people will make more use of it in the future.

We do have to be careful here. Some fraction of the M&A retirements are stock transactions, where the acquiring company issues new stock as a kind of currency to pay for the stock of the company it is acquiring.11 In these cases, it’s misleading to treat the stock issuance and the stock retirement as two separate transactions — as independent sources and uses of funds. It would be better to net those transactions out earlier before reporting the gross figures here. Unfortunately, the Fed doesn’t give a historical series of cash vs. stock acquisition spending. But in recent years, at least, it seems that no more than a quarter or so of acquisitions are paid in stock, so the figure above is at least qualitatively correct. Removing the stock acquisitions — where there is arguably no meaningful issue or retirement of stock, jsut a swap of one company’s for another’s — would move the M&A Retirements and Gross Equity Issues lines down somewhat. But the basic picture would remain the same.

It’s also the case that a large fraction of equity issues are the result of exercise of employee stock options. I suspect — tho again I haven’t seen definite data — that stock options accout for a large fraction, maybe a majority, of stock issues in recent decades. But this doesn’t change the picture as far as sectoral flows goes — it just means that what is being financed is labor costs rather than investment.

The bottom line here is, I don’t think we heterodox corporate finance people have thought enough about acquisitions. A major part of payments from corporations to shareholders are not distribution of profits in the usual sense, but payments by managers for control rights over a production process that some other shareholders have claims on. I don’t think our current models handle this well — we either think implicitly of a single unitary corporate sector, or we follow the mainstream in imagining production as a bouillabaisse in where you just throw in a certain amount of labor and a certain amount of capital, so it doesn’t matter who is in charge.

Of course we know that the exit, the liquidity moment, for many tech startups today is not an IPO — let alone reaching profitability under the management of early investors — but acquisition by an established company. But this familiar fact hasn’t really made it into macro analysis.

I think we need to take more seriously the role of Wall Street in rearranging ownership claims. Both because who is in charge of particular production processes is important. And because we can’t understand the money flows between corporations and households without it.

 

New Piece on MMT

Arjun Jayadev and I have a new piece up at the Institute for New Economic Thinking, trying to clarify the relationship between Modern Monetary Theory (MMT) and textbook macroeconomics. (There is also a pdf version here, which I think is a bit more readable.) I will have a blogpost summarizing the argument later today or tomorrow, but in the meantime here is the abstract:

An increasingly visible school of heterodox macroeconomics, Modern Monetary Theory (MMT), makes the case for functional finance—the view that governments should set their fiscal position at whatever level is consistent with price stability and full employment, regardless of current debt or deficits. Functional finance is widely understood, by both supporters and opponents, as a departure from orthodox macroeconomics. We argue that this perception is mistaken: While MMT’s policy proposals are unorthodox, the analysis underlying them is largely orthodox. A central bank able to control domestic interest rates is a sufficient condition to allow a government to freely pursue countercyclical fiscal policy with no danger of a runaway increase in the debt ratio. The difference between MMT and orthodox policy can be thought of as a different assignment of the two instruments of fiscal position and interest rate to the two targets of price stability and debt stability. As such, the debate between them hinges not on any fundamental difference of analysis, but rather on different practical judgements—in particular what kinds of errors are most likely from policymakers.

Read the rest here or here.

Lecture Notes for Research Methods

I’m teaching a new class this semester, a masters-level class on research methods. It could be taught as simply the second semester of an econometrics sequence, but I’m taking a different approach, trying to think about what will help students do effective empirical work in policy/political settings. We’ll see how it works.

For anyone interested, here are the slides I will use on the first day. I’m not sure it’s all right, in fact I’m sure some of it is wrong But that is how you figure out what you really think and know and don’t know about something, by teaching it.

After we’ve talked through this, we will discuss this old VoxEU piece as an example of effective use of simple scatterplots to make an economic argument.

I gave a somewhat complementary talk on methodology and heterodox macroeconomics at the Eastern Economics Association meetings last year. I’ve been meaning to transcribe it into a blogpost, but in the meantime you can listen to a recording, if you’re interested.

Audio Player

 

Macroeconomic Lessons from the Past Decade

Below the fold is a draft of a chapter I’m contributing to an edited volume on aggregate demand and employment. My chapter is supposed to cover macroeconomic policy and employment in the US, with other chapters covering other countries and regions. 

The chapter is mostly based on material I’ve pulished elsewhere, mainly my Roosevelt papers “What Recovery?” and “A New Direction for the Federal Reserve.” My goal was something that summarized the arguments there for an audience of (presumably) heterodox macroeconomists, and that could also be used in the classroom.

There is still time to revise this, so comments/criticisms are very welcome.

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Continue reading Macroeconomic Lessons from the Past Decade

“Economic Growth, Income Distribution, and Climate Change”

In response to my earlier post on climate change and aggregate demand, Lance Taylor sends along his recent article “Economic Growth, Income Distribution, and Climate Change,” coauthored with Duncan Foley and Armon Rezai.

The article, which was published in Ecological Economics, lays out a structuralist growth model with various additions to represent the effects of climate change and possible responses to it. The bulk of the article works through the formal properties of the model; the last section shows the results of some simulations based on plausible values of the various parmaters. 12 I hadn’t seen the article before, but its conclusions are broadly parallel to my arguments in the previous two posts. It tells a story in which public spending on decarbonization not only avoids the costs and dangers of climate change itself, but leads to higher private output, income and employment – crowding in rather than crowding out.

Before you click through, a warning: There’s a lot of math there. We’ve got a short run where output and investment are determined via demand and distribution, a long run where the the investment rate from the short run dynamics is combined with exogenous population growth and endogenous productivity growth to yield a growth path, and an additional climate sector that interacts with the economic variables in various ways. How much the properties of a model like this change your views about the substantive question of climate change and economic growth, will depend on how you feel about exercises like this in general. How much should the fact that that one can write down a model where climate change mitigation more than pays for itself through higher output, change our beliefs about whether this is really the case?

For some people (like me) the specifics of the model may be less important that the fact that one of the world’s most important heterodox macroeconomists thinks the conclusion is plausible. At the least, we can say that there is a logically coherent story where climate change mitigation does not crowd out other spending, and that this represents an important segment of heterodox economics and not just an idiosyncratic personal view.

If you’re interested, the central conclusions of the calibrated model are shown below. The dotted red line shows the business-as-usual scenario with no public spending on climate change, while the other two lines show scenarios with more or less aggressive public programs to reduce and/or offset carbon emissions.

Here’s the paper’s summary of the outcomes along the business-as-usual trajectory:

Rapid growth generates high net emissions which translate into rising global mean temperature… As climate damages increase, the profit rate falls. Investment levels are insufficient to maintain aggregate demand and unemployment results. After this boom-bust cycle, output is back to its current level after 200 years but … employment relative to population falls from 40% to 15%. … Those lucky enough to find employment are paid almost three times the current wage rate, but the others have to rely on subsistence income or public transfers. Only in the very long run, as labor productivity falls in response to rampant unemployment, can employment levels recover. 

In the other scenarios, with a peak of 3-6% of world GDP spent on mitigation, we see continued exponential output growth in line with historical trends. The paper doesn’t make a direct comparison between the mitigation cases and a world where there was no climate change problem to begin with. But the structure of the model at least allows for the possibility that output ends up higher in the former case.

The assumptions behind these results are: that the economy is demand constrained, so that public spending on climate mitigation boosts output and employment in the short run; that investment depends on demand conditions as well as distributional conflict, allowing the short-run dynamics to influence the long-run growth path; that productivity growth is endogenous, rising with output and with employment; and that climate change affects the growth rate and not just the level of output, via lower profits and faster depreciation of existing capital.13

This is all very interesting. But again, we might ask how much we learn from this sort of simulation. Certainly it shouldn’t be taken as a prediction! To me there is one clear lesson at least: A simple cost benefit framework is inadequate for thinking about the economic problem of climate change. Spending on decarbonization is not simply a cost. If we want to think seriously about its economic effects, we have to think about demand, investment, distribution and induced technological change. Whether you find this particular formalization convincing, these are the questions to ask.