The Slack Wire

At Jacobin: Yes, We Should Support Industrial Policy and the Green New Deal

(This piece was published by Jacobin on April 6, 2023, in response to the Dylan Riley post linked in the first paragraph. The version below adds a few unimportant footnotes and one somewhat important paragraph that I forgot to write before submitting it — the one about halfway through that mentions Oskar Lange.)

A few days ago, Dylan Riley wrote a post on New Left Review’s Sidecar blog that provoked a furious response on twitter. 1 Since I largely agree with the criticism made by Alex Williams, Nathan Tankus, Doug Henwood and others, perhaps I shouldn’t add to the chorus. But I want to try to clarify the larger stakes in this debate.

Riley’s piece starts from the suggestion that the failure of Silicon Valley Bank reflects a larger crisis of overcapacity and lack of investment opportunities. SVB, he writes,

had parked a huge quantity of its deposits in low-yield – but supposedly safe – government-backed securities and low-interest bonds. … the bank was overwhelmed by the massive growth in deposits from its tech clients – and neither it nor they could find anything worthwhile to invest in. …the SVB collapse is a beautiful, almost paradigmatic, demonstration of the fundamental structural problem of contemporary capitalism: a hyper-competitive system, clogged with excess capacity and savings, with no obvious outlets to soak them up.

This is an elegant framing but it runs into a problem immediately, involving the ambivalent meaning of ‘invest.” The depositors in SVB were not venture capitalists, but the firms that they had stakes in. The reason SVB had such big deposits was not because finance was unable to find profitable outlets even in the tech world, but precisely because it had done so. (Whether these businesses are doing anything socially useful is of course a different question.) The fact that SVB’s assets consisted of Treasury bonds rather than loans to its depositors reflects the shift in business financing, especially in tech, away from banks toward specialized venture capital funds — an interesting development, certainly, but one that doesn’t tell us anything about the overall population of businesses looking for financing.

Lurking behind Riley’s formulation here seems to be a crude version of commodity money theory, in which money is either out in the world being useful, or being left idle in the bank. But money in the real world is always in the form of bank deposits — that’s what money is — regardless of how actively it is circulating.

To be fair, Silicon Valley Bank is just the hook here. The real argument of the post — the one that provoked such a reaction — is that the ongoing crisis of overcapacity means that Green New Deal-type programs of public investment in decarbonization are a self-defeating dead end.   “Imagine,” writes Riley,

that Bidenomics in its most ambitious form were successful. What exactly would this mean? Above all it would lead to the onshoring of industrial capacity in both chip manufacturing and green tech. But that process would unfold in a global context in which all the other capitalist powers were vigorously attempting to do more or less the same thing. The consequence of this simultaneous industrialization drive would be a massive exacerbation of the problems of overcapacity on a world scale, putting sharp pressure on the returns of the same private capital that was ‘crowded-in’ by ‘market-making’ industrialization policies.

There are a number of distinct arguments in, or at least in the vicinity of, Riley’s post. We can of course debate the specific content of the IRA — where does it fall on Daniela Gabor’s spectrum from “de-risking” to the “big green state”? There’s a larger political question about the extent to which activists and intellectuals on the left should attach themselves to programs carried out by the established political actors through the state, as opposed to popular movements outside of it. And then there is the specific question of overcapacity — is it reasonable to think that any boost to investment via public spending will just diminish opportunities for profitable accumulation elsewhere?

I’m not unsympathetic to the first two of these arguments, even if I don’t agree with them in this particular case.

In my opinion, the IRA model passes two key tests: The public money goes to productive enterprises, not to holders of financial assets; and there is affirmative direction of spending toward specific activities. To me there is an important difference between “for each new solar panel you install with union labor, you will get x dollars of subsidies” and “if you hold a bond that fits these broad criteria, the interest is taxed at a lower rate” — even though, at a sufficiently high level of abstraction, both involve subsidizing private capital. But there’s a lot of room for debate here about how to describe specific measures and where to draw the line; a different read of its provisions might plausibly put the IRA on the other side of it.

Similarly, it’s important to remember that winning some specific legislation does not mean that you control the state — there’s a real danger in imagining ourselves “in the room where it happens” when in reality we are very far from it. When Riley writes that “no socialist should advocate an ‘industrial policy’ of any sort, nor have any truck with self-defeating New Deals,” I, obviously, do not agree. But if you wrote a parallel sentence about the humanitarian activities of the US military in various parts of the globe, I would agree wholeheartedly.  Over the years I’ve had many disagreements with people with broadly similar political commitments, who thought this particular intervention could was worth supporting. As far as I am concerned, when the instruments of the state are marines and cruise missiles, the only possible engagement from the left is protest and obstruction.

War is different from industrial policy. But one can imagine an argument along these lines that would be worth taking seriously. If you wanted to write a stronger critique of the Green New Deal from the left, you might stress the tight links between industrial policy and nationalism, and the frightening anti-China rhetoric that’s a ubiquitous part of the case for public investment.

Here, though, I want to talk about the specifically economic argument, about overproduction.

Riley’s post draws on a long-standing argument among writers for the New Left Review, that the fundamental challenge for contemporary capitalism is overproduction or excess capacity. In this story, the end of the postwar Golden Age was due to the end of US dominance in world trade. Starting in the 1970s, stable oligopolies in manufacturing gave way to to cutthroat competition as producers from an increasing number of countries competed for a limited market. Because manufacturing is so dependent on long-lived, specialized capital goods, producers are unwilling to exit even in the face of falling prices, giving rise to chronic depressed profits and excess capacity, and a turn to financial predation — what Robert Brenner calls neofeudalism — as an alternative outlet for investment. Even when profits recover, there’s little incentive to accumulate new means of production, given that there’s already capacity to produce more than markets can absorb. 

The most influential version of this story is probably Brenner’s book-length New Left Review article from 1998. 2 It is clearly compelling on some level – a lot of people seem to believe something like it. It draws on a long tradition of theories of overproduction and destructive competition, going back at least to the underconsumption theories of Hobson, Lenin and Luxemburg on the one side and, on the other, the first generation of the US economics profession, shaped by the pathological effects of competition between railways. Richard Ely, founder of the American Economics Association, described the problem clearly: “whenever the principle of increasing returns works with any high degree of intensity, competition can never regulate private business satisfactorily.”  His contemporary Arthur Hadley described destructive competition in capital-intensive industries in very much the same terms as Brenner: at prices 

far below the point where it pays to do your own business, it pays to steal business from another man. The influx of new capital will cease; but the fight will go on, either until the old investment and machinery are worn out, or until a pool of some sort is arranged.

(The quotes are from Michael Perelman’s excellent The End of Economics.)

There’s an important truth to the idea that, in a world of long-lived specialized capital goods and constant or falling marginal costs, there is no tendency for market prices to reflect costs of production. Too much competition, and firms will sell at prices that don’t recoup their fixed costs, and drive each other to bankruptcy. Too little competition, and firms will recover their full costs and then some, while limiting socially useful output. No market process ensures that competition ends up at the goldilocks level in the middle.

But while this problem is real, there’s something very strange about the way Riley deploys it as an argument against the Green New Deal. Rather than a story about competition, he — following Brenner — talks as if there was a fixed amount of demand out there that producers must compete for. In a world of overproduction, he says, any public investment will just create more excess capacity, driving down profits and accumulation somewhere else.

In a funny way, this is the mirror image of the Treasury View of the 1930s — which said that any increase in public employment would just mean an equal fall in private employment — or of its modern day successors like Jason Furman and Lawrence Summers. The Furman-Summers line is that the world has only a certain amount of productive capacity; any public spending above that level that will just result in inflation, or else crowding out of private investment. The Brenner-Riley line is that the world has only a certain amount of demand, both in general and for carbon-reducing technology specifically. Try to produce any more than that, and you’ll just have excess capacity and falling profits. Both sides agree that the economy is like a bathtub — try to overfill it and the excess will just run over the sides. The difference is that for first side demand is the water and productive capacity is the tub, while for the other the water is capacity and the tub is demand.

Riley invokes Oskar Lange’s 1930s discussions of electoral socialism in support of his contention that “half-measures are self-contradictory absurdities” — which very much includes any “blather about New Deals.” But the situation facing socialist governments in the 1930s was quite different. Their problem was that any serious discussion of nationalization would terrify capital and discourage investment, sending the economy into a deeper slump and dooming socialists’ prospects for extending their initial electoral gains. This meant that nationalization had to be carried out all at once or not at all — which in practice, of course, meant the latter. (There is a good discussion of this in Przeworski’s Paper Stones.) Keynesian fiscal policy was precisely what offered the way out of this trap, by allowing an expansion of the public sector on terms consistent with continued private accumulation. Riley here is rejecting exactly the solution to the problem Lange identified.

But there’s a deeper problem with the Riley-Brenner vision. In Jim Crotty’s review of Brenner’s long article, he argues that, in response to what Brenner saw as an excessive focus on labor-capital conflict in accounts of the end of the postwar boom, he created an equally one-sided story focused exclusively on inter-capitalist competition. I think this gets to the crux of the matter.

Let’s take a step back.

The development of a capitalist economy is a complex process, which can go wrong at many points. Production on an increased scale requires the expansion of the physical and organizational means of production, with whatever technical and material requirements that entails. Additional labor must be enlisted and supervised. New raw materials must be acquired, and the production process itself has to be carried out on an increased scale. The resulting products have to be sold at a price that covers the cost of production — in other words, there must be sufficient demand. The resulting surplus has to be channeled back to investment. All of this has to take place without excessive changes in relative prices, and in particular without politically destabilizing changes in wages or the distribution of income. The reinvestment stage normally happens via the financial system; the ongoing payment commitments this generates have to be consistently met. And it all must take place without generating unsustainable cross-border payment flows or commitments. 

All of these steps have to happen in sync, across a wide range of sectors and enterprises. A business expanding production has to be confident that the market for its products is also growing, as well as the supply of the inputs it uses, the financing it depends on, and the labor it exploits. An interruption in any of these will halt the whole process. When growth is steady and incremental, this can be mostly taken for granted, but not in the case of more rapid or qualitative change, as in industrialization.

This problem was clearly recognized by earlier development economists. It’s the idea behind the “two gap” and “three gap” models of Hollis Chenery and his collaborators, the “big push” of Rosenstein-Rodan, or Gerschenkron’s famous essay on late industrialization.3  Everything has to move forward together. Industrialization requires not only factories, but ports, railroads, water, electricity, schools. All of these depend on the others. You need savings (or at least credit), and you need demand, and you need labor, and you need foreign exchange.4 

At the same time, an essential feature of the capitalist mode of production is that the various steps each involve different decision makers, acting with an eye only to their own monetary returns. From the point of view of each decision maker, the choices of all the others look like fixed, objective constraints. From the point of view of a particular producer, the question of whether there is sufficient demand to justify additional output is an objective fact. For the producers collectively, it is their decisions that determine the level of demand just as much as — in fact simultaneously with — the level of current output.  But for them individually, it’s a given, an external constraint. 

The problem comes when in thinking about the system as a whole we treat something like destructive competition not as what it is – a coordination problem – but from the partial perspective of the individual producer. From this perspective, it appears as objectively given, as if there were only so much demand to go around. The mainstream, of course, makes the exact same error when they treat the productive capacity of the system as prior to and independent of the actual level of activity. (This is the point of Arjun Jayadev’s and my recent paper on supply constraints.) The fact that when one part of the system moves ahead faster it encounters friction from parts that are lagging imposes genuine limits on the pace of expansion — both supply and demand constraints are real – but we should not treat them as absolute or externally given. 

The faster and farther reaching are the changes in production, the harder it is for a decentralized market system to maintain coherence, and the more necessary conscious, more or less centralized coordination becomes. This was one of the main lessons of the economic mobilization for World War II, and a critical consideration for decarbonization. Planning is ubiquitous in real-world capitalism, and more rapid transformations in activity require planning at a higher level.  

At the same time, we shouldn’t underestimate the capacity of our system of anarchic production for profit to eventually break through the barriers it encounters — something Marx understood better than anyone. That is why it’s become the world-encompassing system it is. Sustained demand will itself call forth the new labor and improved production techniques required to meet it.  Conversely, while Say’s law may not hold in the short run, or as a matter of logic, it is very much the case that improvements in production create new markets, and expand demand qualitatively as well as quantitatively.

Overproduction and excess capacity are not new phenomena. They have been a recurring feature of the great crises that capitalist economies have experienced for the past two hundred years. Here is Jules Michelet’s beautiful contemporary description of the 1842 commercial crisis in France:

The cotton mills were at the last gasp, choking to death. The warehouses were stuffed, and there were no sales. The terrified manufacturer dared neither work nor stop working with those devouring machines. Yet usury is not laid off, so he worked half-time, and the glut grew worse. Prices fell, but in vain; they went on falling until cotton cloth stood at six sous.

We should never forget about the misery and chaos of crises like this. But we should also not forget how this story ends. It is not “and then eventually enough mills were shut down and things went back to how they were before.”

Here’s how the Michelet passage continues:

Then something completely unexpected happened. The words six sous aroused the people. Millions of purchasers — poor people who had never bought anything — began to stir. Then we saw what an immense and powerful consumer the people is when engaged. The warehouses were emptied in a moment. The machines began to work furiously again, and chimneys began to smoke. That was a revolution in France, little noted but a great revolution nonetheless. It was a revolution in cleanliness and the embellishments of the homes of the poor; underwear, bedding, table linen, and window curtains were now being used by whole classes who had not used them since the beginning of the world.

An openness to the possibility of this sort of transformational change is what’s fundamentally missing from both the Summers-Furman and Brenner-Riley views. This is not a system in homeostasis, that if disturbed returns to its old position. It is a system lurching from one unstable equilibrium to another. And this is very relevant, I think, to decarbonization. 

Not so very long ago, it was conventional wisdom that photovoltaic energy was never going to be more than a niche power source — useful when you can’t connect to the grid, but way too expensive to to ever be used at utility scale. And now look — solar accounted for nearly half of new electricity generation installed last year. There’s an almost endless scope for further growth in renewable energy, as more of the economy is electrified. The fact that Silicon Valley Bank was holding a bunch of Treasury bonds does not mean that the field of productive investment has been exhausted.

The tremendous growth of renewable energy over the past generation wouldn’t have happened without public subsidies and regulation. At the same time, most of the actual production has been carried out by employees of private, profit-seeking businesses. Riley is absolutely right that no one should be counting on private investment in education or in care work. Explaining why those activities depend critically on the autonomy and intrinsic motivation of the workers carrying them out, and are therefore inherently unsuited to for-profit businesses, is something we need to keep doing. The same goes for many public functions that have been turned over to contractors. But there are many other areas where it is still possible to harness the profit motive to meet human needs. 

(I am not, to be clear, saying anything about the virtues of markets or the profit motive in the abstract. I would like to progressively eliminate them from human life. I am simply stating the fact that my house was put up by a private builder, for profit, and yet the roof does keep out the rain.) 

There is plenty of scope to criticize the specific content of the IRA and other climate legislation, and the strategic choices of the groups that support them. (Altho a bit of humility is called for with the latter.) But we need to categorically reject the idea that there is some hard constraint such that any program to increase private spending on decarbonization will be canceled out by a reduction in spending somewhere else. 

The bottom line, both for the politics and the economics, is that we need to resist thinking in terms of a change in one area while everything else stays the same. Ceteris paribus may be a useful analytic tool, but it’s fundamentally inapplicable to historical processes where one change creates the pressure, and the possibility, for another. 

Yes, given the existing productive technology, given existing markets, one country’s support for renewable energy might compete with another’s. But these things are not given. Economies of scale exist at the level of the industry as well as the firm; technological progress in one place quickly spills over to others. As, say, hydrogen becomes practical for large-scale energy storage, it will be come practical to produce green energy in areas where it isn’t today. This is as far as you can get from the Brenner paradigm of a zero-sum competition for shares of a fixed market.

The real problem for the Green New Deal and broader industrial policy program is not scarcity, whether of material or of markets. It is twofold. First, it requires a capacity for public planning that is currently lacking, in the US and elsewhere. Industrial policy means building up and legitimating the state’s direct role in a wider range of activity— a challenge when the biggest existing form of direct public provision, the public schools, are under ferocious attack from the right. Second, to the extent that a rush of public and private spending leads to a sustained boom, that will create profound challenges for a system that is used to managing distributional conflicts through unemployment. We’ve gotten a sense of what the political reaction to full employment might look like from recent inflation discourse, with its fears of “labor scarcity.” It’s reasonable, for now, to respond that it’s silly to worry about a wage-price spiral when labor is so weak. But what happens when labor is stronger?

These are real challenges. But we shouldn’t see them as arguments against this program, only as markers for where the next conflicts are likely to be. That’s always how it is. “Gradualism cannot work,” declares Riley, but all politics is incremental. Socialism is only a direction of travel. Even if the “commanding heights of the economy” could “be seized at once” — Riley’s rather ambitious alternative to the Green New Deal — that would only be a step toward the next struggle.

A program to mobilize the existing bourgeois state to push private spending in the direction of meeting human needs, and the need for a habitable planet in particular, faces many obstacles — that is true. Whatever successes the left has had under the Biden administration have been limited and compromised. Some of the most important, like the expansion of unemployment and family benefits, have already been rolled back — that is also true. But the same could be said for all the socialist programs of the past. We have to just keep going, with one eye on the long run direction of travel and the other on the contingencies of the present. The one thing we can say for certain about the future is that it hasn’t happened yet. If we keep going, we will see things that haven’t been seen since the beginning of the world.

At Barron’s: Do Interest Rates Really Drive the Economy?

(I write a more-or-less monthly opinion piece for Barron’s. This is my contribution for March 2023; you can find the earlier ones here.)

When interest rates go up, businesses spend less on new buildings and equipment. Right?

That’s how it’s supposed to work, anyway. To be worth doing, after all, a project has to return more than the cost of financing it. Since capital expenditure is often funded with debt, the hurdle rate, or minimum return, for capital spending ought to go up and down with the interest rate. In textbook accounts of monetary policy, this is a critical step in turning rate increases into slower activity.

Real economies don’t always match the textbook, though. One problem: market interest rates don’t always follow the Federal Reserve. Another, perhaps even more serious problem, is that changes in interest rates may not matter much for capital spending.

A fascinating new study raises new doubts about how much of a role interest rates play in business investment.

To clarify the interest-investment link, Niels Gormsen and Kilian Huber — both professors at the University of Chicago Booth School of Business — did something unusual for economists. Instead of relying on economic theory, they listened to what businesses themselves say. Specifically, they (or their research assistants) went through the transcripts of thousands of earnings calls with analysts, and flagged any mention of the hurdle rate or required return on new capital projects. 

What they found was that quoted hurdle rates were consistently quite high — typically in the 15-20% range, and often higher. They also bore no relationship to current interest rates. The federal funds rate fell from 5.25% in mid-2007 to zero by the end of 2008, and remained there through 2015. But you’d never guess it from the hurdle rates reported to analysts. Required returns on new projects were sharply elevated over 2008-2011 (while the Fed’s rate was already at zero) and remained above their mid-2000s level as late as 2015. The same lack of relationship between interest rates and investment spending is found at the level of individual firms, suggesting, in Gormsen and Huber’s words, that “fluctuations in the financial cost of capital are largely irrelevant for [business] investment.”

While this picture offers a striking rejection of the conventional view of interest rates and investment spending, it’s consistent with other research on how managers make investment decisions. These typically find that changes in the interest rate play little or no role in capital spending. 

If businesses don’t look at interest rates when making investment decisions, what do they look at? The obvious answer is demand. After all, low interest rates are not much of an incentive to increase capacity if existing capacity is not being used. In practice, business investment seems to depend much more on demand growth than on the cost of capital. 

(The big exception is housing. Demand matters here too, of course, but interest rates also have a clear and direct effect, both because the ultimate buyers of the house will need a mortgage, and because builders themselves are more dependent on debt financing than most businesses are. If the Fed set the total number of housing permits to be issued across the country instead of a benchmark interest rate, the effects of routine monetary policy might not look that different.)

If business investment spending is insensitive to interest rates, but does respond to demand, that has implications for more than the transmission of monetary policy. It helps explain both why growth is so steady most of the time, and why it can abruptly stall out. 

As long as demand is growing, business investment spending won’t be very sensitive to interest rates or other prices. And that spending in turn sustains demand. When one business carries out a capital project, that creates demand for other businesses, encouraging them to expand as well. This creates further demand growth in turn, and more capital spending. This virtuous cycle helps explain why economic booms can continue in the face of all kinds of adverse shocks — including, sometimes, efforts by the Fed to cut them off.

On the other hand, once demand falls, investment spending will fall even more steeply. Then the virtuous cycle turns into a vicious one. It’s hard to convince businesses to resume capital spending when existing capacity is sitting idle. Each choice to hold back on investment, while individually rational, contributes to an environment where investment looks like a bad idea. 

This interplay between business investment and demand was an important part of Joseph Schumpeter’s theory of business cycles. It played a critical role in John Maynard Keynes’ analysis of the Great Depression. Under the label multiplier-accelerator models, it was developed by economists in the decades after World War II. (The multiplier is the link from investment to demand, while the accelerator is the link from demand growth to investment.) These theories have since fallen out of fashion among economists. But as the Gormsen and Huber study suggests, they may fit the facts better than today’s models that give decisive importance to the interest rate controlled by the Fed.

Indeed, we may have exaggerated the role played in business cycles not just of monetary policy, but of money and finance in general. The instability that matters most may be in the real economy. The Fed worries a great deal about the danger that expectations of higher inflation may become self-confirming. But expectations about real activity can also become unanchored, with even greater consequences. Just look at the “jobless recoveries” that followed each of the three pre-pandemic recessions. Weak demand remained stubbornly locked in place, even as the Fed did everything it could to reignite growth.

In the exceptionally strong post-pandemic recovery, the Fed has so far been unable to disrupt the positive feedback between rising incomes and capital spending. Despite the rate hikes, labor markets remain tighter than any time in the past 20 years, if not the past 50. Growth in nonresidential investment remains fairly strong. Housing starts have fallen sharply since rates began rising, but construction employment has not – at least not yet. The National Federation of Independent Business’s survey of small business owners gives a sharply contradictory picture. Most of the respondents describe this as a very poor moment for expansion, yet a large proportion say that they themselves plan to expand and increase hiring. Presumably at some point this gap between what business owners are saying and what they are doing is going to close – one way or the other. 

If investment responded strongly to interest rates, it might be possible for the Fed to precisely steer the economy, boosting demand a little when it’s weak, cooling it off when it gets too hot. But in a world where investment and demand respond mainly to each other, there’s less room for fine-tuning. Rather than a thermostat that can be turned up or down a degree or two, it might be closer to the truth to say that the economy has just two settings: boom and bust.

At its most recent meeting, the Fed’s forecast was for the unemployment rate to rise one point over the next year, and then stabilize. Anything is possible, of course. But in the seven decades since World War Two, there is no precedent for this. Every increase in the unemployment rate of a half a point has been followed by a substantial further rise, usually of two points or more, and a recession. (A version of this pattern is known as the Sahm rule.) Maybe we will have a soft landing this time. But it would be the first one.

 

New Paper: Rethinking Supply Constraints

I have a new paper on how we conceptualize the supply side of the economy, coauthored with Arjun Jayadev. I presented a version of this at the Political Economy research Institute in December 2022. You can watch video of my presentation here — I come on, after some technical difficulties, around 47:00. (The other presentations from the conference are also very worth watching.) The paper will be published in the upcoming issue of the Review of Keynesian Economics. (The linked version is our draft; when the published version comes out I’ll post that.)

Our fundamental argument is that while macroeconomic supply constraints are normally conceptualized in terms of a level (or level-path) of potential output, in many contexts it would be better to think in terms of a constraint on the rate of change — a speed limit rather than a ceiling.

While this is a general argument, it’s motivate by the experiences of the pandemic and the post-financial crisis recovery of the preceding decade. We think the speed-limit conception of supply constraints makes sense of a number of macroeconomic developments that are hard to make sense of in the conventional view.

First, deviations in output are persistent. We saw this clearly in the wake of the Great Recession, but it seems to be a more general phenomenon. There’s a long-standing empirical finding that there’s no general tendency of output to return to its previous trend. One way we could explain this is the real business cycle way — short-term as well as long-term variation in output growth are driven by changes in the economy’s productive capacity. But of course, there is lots of evidence that business cycles are driven by demand. Alternatively, we could argue that potential grows steadily but actual output may remain far below it indefinitely. I was making arguments like this a few years ago. The problem is that direct evidence on the output gap (unemployment, growth in wages and prices, businesses’ reported capacity utilization rates, etc.) suggest that the output gap did close over the course of the 2010s. So we’re left with the idea that potential output adjusts to actual output — hysteresis. But if we take this idea seriously, it rules out the conventional idea of a level of potential output. In a world where hysteresis is important, a zero output gap is consistent with lots of different level-paths of output; supply constraints only bind the speed of the transitions between them.

Second, there’s no well-defined level of full employment. (Here we have to ding Keynes a bit.) Employment grows steadily over business cycles — there’s no sign of convergence to some long-term trend. Estimates of the NAIRU or natural unemployment rate follow actual unemployment more or less one for one. And if we try to make a bottom-up estimate of full employment — what fraction of the population could plausibly be engaged in paid work — we end up with a value much higher than actual employment even at cyclical peaks.

Third, we observe inflation and other signs of supply constraints in response to changes in the composition of output and employment, and not just in the level. This has been very clear during the pandemic, but there’s good reason to think it’s true in general.

Fourth, increasing returns are pervasive in real economies. This is a bit of a different argument than the first three, since it’s not pointing to a directly observable macro phenomenon. But it’s important here, because it means that we can’t assume that businesses are already using the lowest-cost technique and increasing output will cause unit costs to rise. One way of thinking about this is to imagine a cost landscape that is rugged, not smooth. Moving from one locally low-cost position to another may require traversing a higher cost region, which will appear as supply constraints during the transition. A clear example of this is the transition from carbon to renewable energy sources.

We also argue that this perspective is more consistent with a sociologically realistic view of what “the economy” is. Real economies are not homogeneous “factors” being added to a “production function” which then spits out some quantity of output. They are complex systems of cooperation between human beings, which are embedded in all kinds of other social relationships and the reproduction of households and other social organisms. These relationships cannot be torn up and recreated at any moment — changing them is costly. They evolve only gradually over time. From this point of view, it is wrong to divide the facts about the economic world into a set of long-run, fundamental, exogenous factors and short-run endogenous factors. Who is actually working, and at what, is as much a part of the economic data, no less easily shifted, than the number of people who are potentially available for work.

This way of thinking about the supply side has several implications for policy. First, rising prices and other signs of supply constraints cannot be taken as evidence for the long-run limits on the economy’s productive potential. In general, we should be skeptical of suggestions that recent rises in the prices of energy, food and other essential commodities reflect the “end of abundance”.

On the positive side, our view suggests that the response to positive output gaps should include not only conventional “supply side” measures, but measures to overcome the coordination and information problems and other frictions that limit rapid changes in productive activity. This implies planning of some sort, though not necessarily central planning in the traditional sense. Another implication is that because prices can adjust more quickly than productive activity can (the emphasis on price stickiness is backward in our view), rapid shifts in activity can generate large price spikes that are not informative about long-run production possibilities and produce undesirable shifts in income. This suggests that price regulation has an important role in smoothing the transition fro one pattern of activity to another.

Specific examples and evidence on all these points are in the paper. You should read it! A final point I want to emphasize here is that we are not saying that supply constraints are limits on adjustment speed in an absolute, universal sense. We are saying that insofar as we need a simple, first-cut description of the supply side, we will usually do better to imagine a constraint on adjustment speed rather than on the level of output and employment.

 

At Barron’s: The Fed’s View of the Economy Matters for More than Monetary Policy

(I write a monthly opinion piece for Barron’s. This is the most recent one; you can find earlier ones here.) 

Has the inflationary fever broken at last? The headline Consumer Price Index, which was rising at a 17 percent annual rate last June, actually fell in December. Other measures show a similar, if less dramatic, slowing of price growth. But before we all start congratulating the Federal Reserve, we should think carefully about what else we’re signing up for.

For Fed Chair Jerome Powell, it’s clear that slower price growth is not enough. Inflation may be coming down, but labor markets are still much too tight. “Nominal wages have been growing at a pace well above what would be consistent with 2 percent inflation over time,” he said recently, so “another condition we are looking for is the restoration of balance between supply and demand in the labor market.” 

The model of the economy that the Fed is working with looks something like this: most prices are, at the end of the day, set as a markup over wages. Wage increases depend on the relative bargaining power of workers and employers, and that in turn depends on labor market tightness. Labor market tightness depends on aggregate demand, which the Fed can influence through interest rates. Yes, there are other influences on inflation; but it’s clear that for the Fed this story is central. Indeed, we might call it the Federal Reserve View.

Is this story a fair description of the real world? Yes and no.

A useful rule to remember is that the rise in average wages must equal the rise in the price of domestically-produced goods, plus productivity growth, plus the share of income going to workers. All else equal, higher wages mean higher prices. But all else is not always equal. It’s possible to have faster wage growth and stable inflation if profit margins are falling, or if productivity is rising, or if import prices are falling.

In the short run, these other factors can easily outweigh wage growth. Just look at the 10 years prior to the pandemic. Hourly wages grew almost twice as fast in the second half of the decade as in the first half — nearly 4 percent annually, versus 2 percent. Yet inflation as measured by the CPI was no higher over 2015-2019 than over 2010-2014. That was thanks to productivity growth, which accelerated significantly, and import prices, which declined. (Workers’ share of national income did not change significantly.)

On the other hand, there is a limit to how fast productivity can rise, or profit margins or import prices can fall. No one doubts that if wages were to rise by, say, 10 percent year after year, inflation would eventually rise.

Critics of the Fed have questioned whether these long-run relationships tell us much about the inflation we are seeing now. There are plenty of things that cannot go on forever but can, and should, go on for a while. Rapid wage gains might be one of them. While Powell clearly still sees wage growth as excessive, others might look at the latest Employment Cost Index—less than 1% growth, compared with 1.4% at the start of 2022—and see a problem taking care of itself.

The Fed’s current plan is to increase unemployment by 1 percent over the next year, throwing 1.6 million people out of work. If the link between labor market conditions and prices is not as tight as they think, that’s a lot of suffering being inflicted for no reason. 

But there’s an even bigger problem with the Federal Reserve View: what else follows once you accept it. If price stability requires a weaker labor market – one in which employers have an easier time finding workers, and workers have a harder time finding jobs – that has implications that go far beyond monetary policy.

Take the Fair Trade Commission’s recent ban on non-compete clauses in employment contracts. When President Biden issued the executive order that led to this action, he explicitly framed it as a way of shifting bargaining power to workers and allowing them to demand higher pay. “If your employer wants to keep you,” he said, “he or she should have to make it worth your while to stay.” 

This sounds like good news for workers. But here’s the problem: from the Fed’s point of view, businesses are already paying too much to hold onto their employees. As Powell has said repeatedly over the past year, there is currently a “real imbalance in wage negotiating” in favor of workers. He wants to make it harder for people to switch jobs, not easier. So if the non-compete ban delivers what the President promised, that will just mean that rates have to go up by more.

Or think about minimum wage laws. Thanks to widespread indexing, nearly half the states saw significant increases in their minimum wages at the start of this year. Others, like New York, are moving in this direction. For many people the case for indexing is obvious: It makes sure that the incomes of low-wage workers in retail, fast food and other services keep pace with rising prices. But for the Fed, these are exactly the wages that are already rising too fast. Higher minimum wages, from the Fed’s point of view, call for higher interest rates and unemployment.

There’s nothing new or secret about this. In a typical macroeconomics textbook, the first example of something that raises the “natural rate” of unemployment (the one the central bank targets) is more generous unemployment benefits, which encourage workers to hold out for higher wages.

Publicly, the Fed disavows any responsibility for labor market policy. But obviously, if your goal is to maintain a certain balance of power between workers and employers, anything that shifts that balance is going to concern you.

This problem had dropped from view in recent years, when the Fed was struggling to get inflation up to its target. But historically, there’s been a clear conflict between protecting workers and keeping unemployment low. Under Alan Greenspan, Fed officials often worried that any revival of organized labor could make the job of inflation control harder. Treasury Secretary Yellen made a version of this argument early on in her career at the Fed, observing that “lower unemployment benefits or decreased unionization could … result in a decline in workers’ bargaining power.” This, she explained, could be a positive development, since it would imply “a permanent reduction in the natural rate of unemployment.”

Unfortunately, the same logic works the other way too. Stronger unions, higher minimum wages, and other protections for workers must, if you accept the Federal Reserve View, result in a higher natural rate of unemployment — which means more restrictive monetary policy to bring it about.

It’s easy to understand why administration officials would say they trust the Fed to manage inflation, while they focus on being the most-pro-labor administration in history. Unfortunately, dividing things up this way may not be as simple as it sounds. If that’s what they think their job is, they may have to challenge how the Fed thinks about its own.

Keynes on Newton and the Methods of Science

I’ve just been reading Keynes’ short sketches of Isaac Newton in Essays in Biography. (Is there any topic he wasn’t interesting on?) His thesis is that Newton was not so much the first modern scientist as “the last of the magicians” — “a magician who believed that by intense concentration of mind on traditional hermetics and revealed books he could discover the secrets of nature and the course of future events, just as by the pure play of mind on a few facts of observation he had unveiled the secrets of the heavens.”

The two pieces are fascinating in their own right, but they also crystallized something I’ve been thinking about for a while about the relationship between the methods and the subject matter of the physical sciences.

It’s no secret that Newton had an interest in the occult, astrology and alchemy and so on. Keynes’ argument is that this was not a sideline to his “scientific” work, but was his project, of which his investigations into mathematics and the physical world formed just a part. In Keynes’ words,

He looked on the whole universe and all that is in it as a riddle, as a secret which could be read by applying pure thought to … mystic clues which God had laid about the world to allow a sort of philosopher’s treasure hunt to the esoteric brotherhood. He believed that these clues were to be found partly in the evidence of the heavens and in the constitution of elements… but also partly in certain papers and traditions … back to the original cryptic revelation in Babylonia. …

In Keynes’ view — supported by the vast collection of unpublished papers Newton left after his death, which Keynes made it his mission to recover for Cambridge — Newton looked for a mathematical pattern in the movements of the planets in exactly the same way as one would look for the pattern in a coded message or a secret meaning in a ancient text. Indeed, Keynes says, Newton did look in the same way for secret messages in ancient texts, with the same approach and during the same period in which he was developing calculus and his laws of motion.

There was extreme method in his madness. All his unpublished works on esoteric and theological matters are marked by careful learning, accurate method and extreme sobriety of statement. They are just as sane as the Principia, if their whole matter and purpose were not magical. They were nearly all composed during the same twenty-five years of his mathematical studies. 

Even in his alchemical research, which superficially resembled modern chemistry, he was looking for secret messages. He was, says Keynes, “almost entirely concerned, not in serious experiment, but in trying to read the riddle of tradition, to find meaning in cryptic verses, to imitate the alleged but largely imaginary experiments of the initiates of past centuries.”

There’s an interesting parallel here to Foucault’s discussion in The Order of Things of 16th century comparative anatomy. When someone like Pierre Belon carefully compares the structures of a bird’s skeleton to a human one, it superficially resembles modern biology, but really “belongs to the same analogical cosmography as the comparison between apoplexy and tempests,” reflecting the idea that man “stands in proportion to the heavens just as he does to animals and plants.”

Newton’s “scientific” work was, similarly, an integral part of his search for ancient secrets and, perhaps, for him, not the most important part. Keynes approvingly quotes the words that George Bernard Shaw (drawing on some of the same material) puts in Newton’s mouth:

There are so many more important things to be worked at: the transmutations of matter, the elixir of life, the magic of light and color, above all the secret meaning of the Scriptures. And when I should be concentrating my mind on these I find myself wandering off into idle games of speculation about numbers in infinite series, and dividing curves into indivisibly short triangle bases. How silly!

None of this, Keynes insists, is to diminish Newton’s greatness as a thinker or the value of his achievements. His scientific accomplishments flowed from this same conviction that the world was a puzzle that would reveal some simple, logical, in retrospect obvious solution if one stared at it long enough. His greatest strength was his power of concentration, his ability to

hold a problem in his mind for hours and days and weeks until it surrendered to him its secret. Then being a supreme mathematical technician he could dress it up… for purposes of exposition, but it was his intuition which was pre-eminent … The proofs … were not the instrument of discovery. 

There is the story of how he informed Halley of one of his most fundamental discoveries of planetary motion. ‘Yes,’ replied Halley, ‘but how do you know that? Have you proved it?’ Newton was taken aback—’Why, I’ve known it for years,’ he replied. ‘ If you’ll give me a few days, I’ll certainly find you a proof of it’—as in due course he did. 

This is a style of thinking that we are probably all familiar with — the conviction that a difficult problem must have an answer, and that once we see it in a flash of insight we’ll know that it’s right. (In movies and tv shows, intellectual work is almost never presented in any other way.) Some problems really do have answers like this. Many, of course, do not. But you can’t necessarily know in advance which is which. 

Which brings me to the larger point I want to draw out of these essays. Newton was not wrong to think that if the motion of the planets could be explained by a simple, universal law expressible in precise mathematical terms, other, more directly consequential questions might be explained the same way. As Keynes puts it,

He did read the riddle of the heavens. And he believed that by the same powers of his introspective imagination he would read the riddle of the Godhead, the riddle of past and future events divinely fore-ordained, the riddle of the elements…, the riddle of health and of immortality. 

It’s a cliché that economists suffer from physics envy. There is definitely some truth to this (though how much the object of envy resembles actual physics I couldn’t say.)  The positive content of this envy might be summarized as follows: The techniques of physical sciences have yielded good results where they have been applied, in physics, chemistry, etc. So we should expect similar good results if we apply the same techniques to human society. If we don’t have a hard science of human society, it’s simply because no one has yet done the work to develop one. (Economists, it’s worth noting, are not alone in believing this.)

In Robert Solow’s critical but hardly uniformed judgement,

the best and the brightest in the profession proceed as if economics is the physics of society. There is a single universal model of the world. It only needs to be applied. You could drop a modern economist from a time machine … at any time in any place, along with his or her personal computer; he or she could set up in business without even bothering to ask what time and which place. In a little while, the up-to-date economist will have maximized a familiar-looking present-value integral, made a few familiar log-linear approximations, and run the obligatory familiar regression. 

It’s not hard to find examples of this sort of time-machine economics. David Romer’s widely-used macroeconomics textbook, for example, offers pre-contact population density in Australia and Tasmania (helpfully illustrated with a figure going back to one million BC) as an illustration of endogenous growth theory. Whether you’re asking about GDP growth next year, the industrial revolution or the human population in the Pleistocene, it’s all the same equilibrium condition.

Romer’s own reflections on economics methodology (in an interview with Snowdon and Vane) are a perfect example of what I am talking about. 

As a formal or mathematical science, economics is still very young. You might say it is still in early adolescence. Remember, at the same time that Einstein was working out the theory of general relativity in physics, economists were still talking to each other using ambiguous words and crude diagrams. 

In other words, people who studied physical reality embraced precise mathematical formalism early, and had success. The people who studied society stuck with “ambiguous words and crude diagrams” and did not. Of course, Romer says, that is now being corrected. But it’s not surprising that with its late start, economics hasn’t yet produced as definite and useful knowledge as the physical science have.  

This is where Newton comes in. His occult interests are a perfect illustration of why the Romer view gets it backward. The same techniques of mathematical formalization, the same effort to build up from an axiomatic foundation, the same search for precisely expressible universal laws, have been applied to the whole range of domains right from the beginning — often, as in Newton’s case, by the same people. We have not, it seems to me, gained useful knowledge of orbits and atoms because that’s where the techniques of physical science happen to have been applied. Those techniques have been consistently applied there precisely because that’s where they turned out to yield useful knowledge.

In the interview quoted above, Romer defends the aggregate production function (that “drove Robinson to distraction”) and Real Business Cycle theory as the sort of radical abstraction science requires. You have “to strip things down to their bare essentials” and thoroughly grasp those before building back up to a more realistic picture.

There’s something reminiscent of Newton the mystic-scientist in this conviction that things like business cycles or production in a capitalist economy have an essential nature which can be grasped and precisely formalized without all the messy details of observable reality. It’s tempting to think that there must be one true signal hiding in all that noise. But I think it’s safe to say that there isn’t. As applied to certain physical phenomena, the idea that apparently disparate phenomena are united by a single beautiful mathematical or geometric structure has been enormously productive. As applied to business cycles or industrial production, or human health and longevity, or Bible exegesis, it yields nonsense and crankery. 

In his second sketch, Keynes quotes a late statement of Newton’s reflecting on his own work:

I do not know what I may appear to the world; but to myself I seem to have been only like a boy, playing on the sea-shore, and diverting myself in now and then finding a smoother pebble or a prettier shell than ordinary, whilst the great ocean of truth lay all undiscovered before me. 

I’m sure this quote is familiar to anyone who’s read anything about Newton, but it was new and striking to me. One way of reading it as support for the view that Newton’s scientific work was, in his mind, a sideshow to the really important inquiries which he had set aside. But another way is as a statement of what I think is arguably the essence of a scientific mindset – the willingness to a accept ignorance and uncertainty. My friend Peter Dorman once made an observation about science that has always stuck with me – that what distinguishes scientific thought is the disproportionate priority put on avoiding Type I errors (accepting a false claim) over avoiding Type II errors (rejecting a true claim). Until an extraordinary degree of confidence can be reached, one simply says “I don’t know”.

It seems to me that if social scientists are going to borrow something from the practices of Newton and his successors,  it shouldn’t be an aversion to “ambiguous words,” the use calculus or geometric proofs, or the formulation of universal mathematical laws. It should be his recognition of the vast ocean of our ignorance. We need to accept that on most important questions we don’t know the answers and probably cannot know them. Then maybe we can recognize the small pebbles of knowledge that are accessible to us.

2020 books

(I wrote this list at the beginning of 2021 but for some reason never posted it. I figured it’s worth putting up now – they’re all still good books.)

Books I read in 2020. None of them were life-changing, but several were very good.

Weather, by Jenny Offill. A small graceful novel about middle-class life against the background of climate change. 

The Mirror and the Light, by Hilary Mantel. Final installment of the Thomas Cromwell trilogy. Better than the second, not as good as the first, in my opinion. Gripping as the others as a story, and shifts our perspective on the central character in some interesting ways, but much of the most interesting history of the period (like the Pilgrimage of Grace) happens oddly offstage, and the central conflict between Cromwell and Henry VIII is never properly motivated. Was Archbishop Cranmer’s protege really a true-believing Protestant reformer all along?

Poor Numbers: How We Are Misled by African Development Statistics and What to Do about It, by Morten Jerven. GDP and other national accounts numbers for poor countries (and for the distant past everywhere) are bullshit. Sorry but it’s true. I read this because I was thinking of assigning it; I ultimately didn’t, but it’s a good book.

The Causality Mixtape, by Scott Cunningham. Another one I read in order to use in a class. Good, clear, accessible, but it also reinforced my sense that there’s something fundamentally wrong with econometrics. I think there is a deep reason why so many textbook examples are about how much of pay differences are due to differences in innate ability – that is the kind of question econometrics is designed to answer. Anyway, if you’re teaching (or taking) a class on statistics or econometrics, you might well want to look at this.  Otherwise, not.

The Histories, by Herodotus (Landmark edition). I’m trying to think of a way to not sound like an asshole when I say that I read all this to 8-year old Eli, and that we are now reading Thucydides. Nope, no luck. (ETA: We finished Thucydides and moved on to Xenophon.)

The Price of Peace: Money, Democracy and the Life of John Maynard Keynes, by Zach Carter. The first two thirds of this is a quite good and timely biography of Keynes. It benefits from the fact that author is a journalist rather than an economist — his interest is in how Keynes’ various writings were responding to particular political situations, rather than trying to fit them all into one coherent system. And then the last third is random gossip about postwar economists and greatest hits from the wikipedia “macroeconomic policy” page. Oh well. 

Radical Hamilton: Economic Lessons from a Misunderstood Founder, by Christian Parenti. Christian is an old friend and colleague. I read most of this in draft, but I reread it this year after it came out. It’s very good.

The Deficit Myth: Modern Monetary Theory and the Birth of the People’s Economy, by Stephanie Kelton. I reviewed it in The American Prospect. I also discussed it at more length on the Current Affairs podcast. 

Keynes against Capitalism: His Economic Case for Liberal Socialism, by Jim Crotty. Another one I read in draft, years ago in this case. The ideas in this book, and in the articles that preceded it (especially this one), and even more all the conversations with Jim over the 20 years since I first studied macroeconomics with him, have so fundamentally shaped my thinking about Keynes and about economics that honestly it’s hard to evaluate the book as a book. But I think it’s important, and very good. Maybe read the articles first?

The Half Has Never Been Told: Slavery and the Making of American Capitalism, by Edward Baptist. I used this in my economic history class last spring. It works very well in the classroom — reads like a novel, and very effectively connects concrete experiences of slavery to economic logic of the system as a whole. There have been a number of claims that the book misrepresents or distorts the material it draws on in the service of its larger narrative, at least some of which unfortunately seem to be valid. I still haven’t decided whether/to what extent these problems cancel out the book’s merits.

Labor’s War At Home: The CIO In World War II, by Nelson Lichtenstein. This was one that had been sitting on my shelves for years and years, which I finally picked up while working on my articles on WWII economic policy with Andrew Bossie (here and here). In those papers we emphasized the positive lessons from the war, but the book gives a sense of the much more radical direction wartime economic planning might have gone in, but didn’t.

Zapata and the Mexican Revolution, by John Womack. Read this after listening to the Mexican revolution series on the Revolutions podcast, which draws on it heavily. If you’re looking for a genuine hero, someone thoroughly admirable, in the history of radical politics, I don’t know that you can do better than Zapata.

American Slavery American Freedom: The Ordeal of Colonial Virginia, by Edmund Morgan. Another book I read in order to use in my economic history class. A classic for a reason.

Pale Horse, Pale Rider, by Katherine Anne Porter Laura was casting around for fiction dealing with the 1918 flu pandemic, which is surprisingly hard to find, and finally lighted on this. It’s a beautiful set of three linked novellas, wrestling in different ways with the ways in which one’s choices are or should be constrained by one’s personal or family past. (Only  one involves the influenza epidemic.) The middle story (“Noon Wine”) is especially striking for the fully realized interior life granted its rural, working-class characters, which you never find in writing about similar milieus by someone like Faulkner.

Freedom From the Market: America’s Fight to Liberate Itself from the Grip of the Invisible Hand, by Mike Konczal. Mike is one of the few people in the world that I agree with about almost everything, so naturally I agreed with everything in this book. Reading it felt like picking up loose ends from numerous conversations over the past five or six years: oh, that’s where that was going. Well, that’s why I liked it, but you would probably like it too. It’s a good book.

 

Previous editions:

2019 books

2017 Books

2016 books

2015 books

2013 books

2012 books I

2012 books II

2010 books I

2010 books II

 

What Does It Mean to Say that Inflation Is Caused by Demand?

There has been a lot of debate about whether the high inflation of 2021-2022 has been due mainly to supply or demand factors. Joe Stiglitz and Ira Regmi have a new paper from Roosevelt making the case for supply disruptions as the decisive factor. It’s the most thorough version of that case that I’ve seen, and I agree with almost all of it. I highly recommend reading it. 

What I want to do in this post is something different. I want to clarify what it would mean, if inflation were in fact driven by demand. Because there are two quite distinct stories here that I think tend to get mixed up.

In the textbook story, production takes place with constant returns to scale and labor as the only input. (We could introduce other inputs like land or imports without affecting the logic.) Firms have market power, so price are set as a positive markup over unit costs. The markup depends on various things (regulations, market structure, etc.) but not on the current level of output. With constant output per worker, this means that the real wage and wage share are also constant. 

The nominal wage, however, depends on the state of the labor market. The lower the unemployment rate, and the more bargaining power workers have, the higher the wage they will be in a position to demand. (We can think of this as an expected real wage, or as a rate of change from current wages.) When unemployment falls, workers command higher wages; but given markup pricing, these higher wages are simply passed on to higher prices. If we think of wages as a decreasing function of unemployment, there will be a unique level of unemployment where wage growth is equal to productivity growth plus the target inflation rate.

The conventional story of demand and inflation, from Blanchard. With constant returns to scale and a fixed markup, the real wage is unaffected by short-run changes in output and employment.

You can change this in various ways without losing the fundamental logic. If there are non-labor costs, then rising nominal wages can be passed less than one for one, and tight labor markets may result in faster real wage growth along with higher inflation. But there will still be a unique level of wage growth, and underlying labor-market conditions, that is consistent with the central bank’s target.  This is the so-called NAIRU or natural rate of unemployment. You don’t hear that term as much as you used to, but the logic is very present in modern textbooks and the Fed’s communications.

There’s a different way of thinking about demand and inflation, though, that you hear a lot in popular discussions — variations on “too much money chasing too few goods.” In this story, rather than production being perfectly elastic at a given cost, production is perfectly inelastic — the amount of output is treated as fixed. (That’s what it means to talk about “too few goods”.) In this case, there is no relationship between costs of production and prices. Instead, the price ends up at  the level where demand is just equal to the fixed quantity of goods.

In this story, there is no relationship between wages and prices — or at least, the former has no influence on the latter. Profit maximizing businesses will set their price as high as they can and still sell their available stocks, regardless of what it cost to produce them. 

In the first story, the fundamental scarcity is inputs, meaning basically labor. In the second, what is scarce is final goods. Both of these are stories about how an increase in the flow of spending can cause prices to rise. But the mechanism is different. In the first case, transmission happens through the labor market. In the second, labor market conditions are at best an indicator of broader scarcities. In the first story, the inflation barrier is mediated by all sorts of institutional factors that can change the market power of businesses and the bargaining power of workers. In the second story it comes straightforwardly from the quantity of stuff available for purchase. 

Once concrete difference between the stories is that only in the first one is there a tight quantitive relationship between wages and prices. When you say “wage growth consistent with price stability,” as Powell has in almost all of his recent press conferences, you are evidently thinking of wages as a cost. If we are thinking of wages as a source of demand, or an indicator of broader supply constraints, we might expect a positive relationship between wages and inflation but not the sort of exact quantitive relationship that this kind of language implies.

in any case, what we don’t want to do at this point is to say that one of these stories is right and the other is wrong. Our goal is simply to clarify what people are saying. Substantively, both could be wrong.

Or, both could be right, but in different contexts. 

If we imagine cost curves as highly convex, it’s very natural to think of these two cases as describing two different situations or regimes or time scales in the same economy.1 Imagine something like the figure below. At a point like c, marginal costs are basically constant, and shifts in demand simply result in changes in output. At a point like b, on the other hand, output is very inelastic, and shifts in demand result almost entirely in changes in price.

convex cost (or supply) curve

Note that we can still have price equal to marginal cost, or a fixed markup to it, in both cases. It’s just that in the steeply upward-sloping section, price determines cost rather than vice versa.

Another point here is that once we are facing quantity constraints, the markup over average cost (which is all that we can normally observe) is going to rise. But this doesn’t necessarily reflect an increase in the  markup over (unobservable) marginal cost, or any change in producers’ market power or pricing decisions.

We might think of this at the level of a firm, an industry or the economy as a whole. Normally, production is at a point like a — capitalists will invest to the point where capacity is a bit greater than normal levels of output. As long as production is taking place within the normal level of utilization, marginal costs are constant. But once normal capacity is exceeded by more than some reasonable margin, costs rise rapidly. 

This framework does a couple of things. First, it clarifies that demand can lead to higher prices in two different ways. First, it shifts the demand curve (not shown here, but you can imagine a downward-sloping diagonal line) up and to the right. Second, insofar as it raises wages, it shifts the cost curve upward. The first effect does not matter for prices as long production is within normal capacity limits. The second effect does not matter once production has exceeded those limits. 

Second, it helps explain why shifts in the composition of output led to a rise in the overall price level. Imagine a situation where most industries were at a position like a, operating at normal capacity levels. A big change in the mix of demand would shift some to b and others to c. The first would see lower output at their old prices, while the latter would see little increase in output but a big rise in prices. This has nothing to do with price stickiness or anything like that. It simply reflects the fact that it’s easy to produce at less than full capacity and very hard to produce much above it.

ETA: One of the striking features of the current disinflation is that it is happening without any noticeable weakening of the labor market. We could see that as just one more piece of evidence for the Stiglitz-Regmi position that it was transitory supply problems all along. But if you really want to credit the Fed, you could use the framework here to do it. Something like this:

In a sustained situation of strong demand, businesses will expect to be able to sell more in the future, and will invest enough to raise capacity in line with output. So the cost curve will shift outward as demand rises, and production will remain In the normal capacity, constant marginal cost range. In this situation, the way that demand is raising prices is via wages. (Unlike business capacity, the labor force does not, in this story, respond to demand.) Rising wages raise costs even at normal utilization levels, so the only way that policy can slow process growth is via weaker labor markets that reduce wage growth. But, when demand rises rapidly and unexpectedly, capacity will not be able to keep up in the short run, and we’ll end up on the righthand, steeply upward sloping part of the cost curve. At this point, price increases are not coming from wages or the cost side in general. Businesses cannot meaningful increase output in the short run, so prices are determined from the demand side rather than as a markup. In this context, price stability calls for policy to reduce desired purchases to what business can currently produce (presumably by reducing aggregate income). In principle this can happen without higher unemployment or slower wage growth.

I personally am not inclined to credit the Fed with a soft landing, even if all the inflation news is good from here on out. But if you do want to tell that story, convex supply curves are something you might like to have in your toolkit.

Slides on “Rethinking Supply Constraints”

On December 2-3, 2022, the Political Economy Research Institute at the University of Massachusetts-Amherst (where I did my economics PhD) will be hosting a conference on “Global Inflation Today: What Is To Be Done?”1

I will be speaking on “Rethinking Supply Constraints,” a new project I am working on with Arjun Jayadev. Our argument is that we should think of supply constraints as limits on the speed at which production can be reorganized and labor and other resources can be reallocated via markets, as opposed to limits on the level of production determined by “real” resources. The idea is that this makes better sense of recent macroeconomic developments; fits better with a broader conception of the economy in terms of human productive activity rather than the exchange of pre-existing goods; and points toward more promising responses to the current inflation.

I was hoping to have a draft of the paper done for the conference, but that is not to be. But I do have a set of slides, which give at least a partial sketch of the argument. Feedback is most welcome!

At Barron’s: Rate Hikes Are the Wrong Cure for Rising Housing Costs

(I write a monthly opinion piece for Barron’s. This is my contribution for November 2022.)

How much of our inflation problem is really a housing-cost problem?

During the first half of 2021, vehicle prices accounted for almost the whole rise in inflation. For much of this year, it was mostly energy prices.

But today, the prices of automobiles and other manufactured goods have stabilized, while energy prices are falling. It is rents that are rising rapidly. Over the past three months, housing costs accounted for a full two-thirds of the inflation in excess of the Federal Reserve’s 2% target.

Since most Americans don’t rent their homes, the main way that rents enter the inflation statistics is through owners’ equivalent rent—the government’s estimate of how much owner-occupied homes would rent for. The big cost that homeowners actually pay is debt service on their mortgage, which the Fed is currently pushing up. There is something perverse about responding to an increase in a hypothetical price of housing by making actual housing more expensive.

Still, the housing cost problem is real. Market rents are up by over 10% in the past year, according to Zillow. While homeownership rates have recovered somewhat, they are still well below where they were in the mid-2000s. And with vacancy rates for both rental and owner-occupied homes at their lowest levels in 40 years, the housing shortage is likely to get worse.

Housing is unlike most other goods in the economy because it is tied to a specific long-lived asset. The supply of haircuts or child care depends on how much of society’s resources we can devote to producing them today. The supply of housing depends on how much of it we built in the past.

This means that conventional monetary policy is ill-suited to tackle rising housing prices. Because the housing stock adjusts slowly, housing costs may rise even when there is substantial slack in the economy. And because production of housing is dependent on credit, that’s where higher interest rates have their biggest effects. Housing starts are already down 20% since the start of this year. This will have only a modest effect on current demand, but a big effect on the supply of housing in future years. Economics 101 should tell you that if efforts to reduce demand are also reducing supply, prices won’t come down much. They might even rise.

What should we be doing instead?

First, we need to address the constraints on new housing construction. In a number of metropolitan areas, home values may be double the cost of construction. When something is worth more than it costs to produce, normally we make more of it. So, if the value of a property comes mostly from the land under it, that’s a sign that construction is falling far short of demand. The problem we need to solve isn’t that people will pay so much to live in New York or Los Angeles or Boston or Boulder, Colo. It’s that it is so difficult to add housing there.

Land-use rules are set by thousands of jurisdictions. Changing them will not happen overnight. But there are steps that can be taken now. For example, the federal government could tie transportation funding to allowing higher-density development near transit.

Second, we need more public investment. Government support—whether through direct ownership or subsidies—is critical for affordable housing, which markets won’t deliver even with relaxed land-use rules. But government’s role needn’t be limited to the low-income segment. The public sector, with its long time horizons, low borrowing costs, and ability to internalize externalities, has major advantages in building and financing middle-class housing as well.

If we look around the world, it isn’t hard to find examples of governments successfully taking a central role in housing development. In Singapore, which is hardly hostile to private business, the majority of new housing is built by the public Housing Development Board. The apartment buildings built by Vienna’s government between the world wars still provide a large share of the city’s housing. Before the privatizations under Prime Minister Margaret Thatcher, some 30% of English families lived in publicly owned housing.

In the U.S., public housing has fallen out of favor. But governments at all levels continue to support the construction of affordable housing through subsidies and incentives. Some public developers, like the Housing Production Fund of Montgomery County, Md., are finding that with cheap financing and no need to deliver returns to investors, they can compete with private developers for mixed-income housing as well. The important thing is to channel new public money to development, rather than vouchers for tenants. The latter may just bid up the price of existing housing.

Third, we should revisit rent regulation. The argument against rent control is supposed to be that it discourages new construction. But empirical studies have repeatedly failed to find any such effect. This shouldn’t be surprising. The high-rent areas where controls get adopted are precisely those where new housing construction is already tightly constrained. If not much is getting built in any case, rent regulation merely prevents the owners of existing housing from claiming windfall gains from surging demand.

No, rent control won’t boost the supply of housing. But it can limit the rise in prices until new supply comes on-line. And it’s a much bettertargeted response to rising housing costs than the policy-induced recession we are currently headed for.

At Jacobin: Review of Beth Popp Berman’s Thinking Like an Economist

(This review appeared in the Summer 2022 edition of Jacobin.)

After the passage of Medicare and Medicaid, universal health insurance seemed to be on its way. In 1971, the New York Times observed that “Americans from all strata of society … are swinging over to the idea that good health care, like good education, ought to be a fundamental right of citizenship.” That same year, Ted Kennedy introduced a bill providing universal coverage with no payments at the point of service, on the grounds that “health care for all our people must now be recognized as a right.” The bill didn’t pass, but it laid down a marker for future health care reform.

But when Democratic presidents and congresses took up health care in later years they chose a different path. Rather than pitching health care as a right of citizenship, the goal was better-functioning markets for health care as a commodity. From the “consumer choice health plan” proposed by Alain Enthoven in the Carter administration, though the 1993 Clinton plan down to Obama’s ACA, the goal of reform was no longer the universal provision of health care, but addressing certain specific failures in the market for health insurance.

The intellectual roots of this shift are the subject of Beth Popp Berman’s new book Thinking Like an Economist: How Efficiency Replaced Equity in U.S. Public Policy. A distinct style of thinking, she argues, reshaped ideas how about how government should work and what it could achieve. This “economic style” of thinking, originating among Democrats rather than on the Right, “centered efficiency and cost-effectiveness, choice and incentives, and competition and the market mechanism… Its implicit theory of politics imagined that disinterested technocrats could make reasonably neutral, apolitical policy decisions.” Rather than see particular domains of public life, like health care or the environment, as embodying their own distinct goals and logics, they were imagined in terms of an idealized market, where the question was what specific market failure, if any, the government should correct.

The book traces this evolution in various policy domains, focusing on the microeconomic questions of regulation, social provision and market governance rather than the higher-profile debates among macroeconomists. Covering mainly the period of the Kennedy through Reagan administrations, with brief discussions of more recent developments, the book documents how the economic style of reasoning displaced alternative ways of thinking about policy questions. The first generation of environmental regulation, for example, favored high, inflexible standards such as simply forbidding emission of certain substances. Workplace and consumer safety laws similarly favored categorical prohibitions and requirements.

But to regulators trained in economics, this made no sense. To an economist, “the optimal level of air pollution, worker illness, or car accidents might be lower than its current level, but it was probably not zero.” As economist Marc Roberts wrote with frustration of the Clean Water Act, “There is no be no case-by-case balancing of costs and benefits, no attempt at ‘fine-tuning’ the process of resource allocation.’”

The book has aroused hostility from economists, who insist that this is an unfairly one-sided portrayal of their profession. I think Berman has the better of the argument here. As anyone who has taken an economics course in college can confirm, there really is such a thing as “thinking like an economist,” even if not every economist thinks that way. Framing every question as a problem of optimization under constraints is a very particular style of reasoning. And, as Berman observes, the most important site of this thinking is not the work of professional economists with their “frontier research,” but undergraduate classes and in schools of public policy where those in government, non-profits, and the press acquire this perspective.

Berman also is right to link this distinctive economic style of reasoning to a narrowing of American political horizons. At the same time, she is appropriately cautious about attributing too much independent influence to it — ideas matter, she suggests, but as tools of power rather than sources of it.

The problem with the book is not that she is unfair to economists; it’s that she concedes too much ground to them. Thinking Like an Economist is attentive to the shifting backgrounds of leaders and staff in federal agencies — if you’re wondering who was the first economics PhD to head the Justice Department’s Antitrust Division, this is the book for you. But this institutional history, while important, sometimes crowds out critical engagement with the ideas being discussed.

Take the term efficiency, which seems to occur on almost every page of the book, starting with the cover. The essence of the economic style, says Berman, is that government should make decisions “to promote efficiency.” But what does that mean?

We know what “efficient” means as applied to, say, a refrigerator. It means comparing a measurable input (electricity, in this case) to a well-defined outcome (a given volume maintained at a given temperature). There is nothing distinct to economics in preferring a more energy-efficient to a less energy-efficient appliance. Unions planning organizing campaigns, socialists running in elections, or public housing administrators all similarly face the problem of getting the most out of their scarce resources.

But what if the question is whether you should have a refrigerator in the first place, or if refrigerators ought to be privately owned? What could “efficient” mean here?

To an economist, the answer is the one that maximizes “utility” or “welfare.” These things, of course, are unobservable. So the measurement of inputs and output that defines efficiency in the every day sense is impossible.

Instead, what we do is start with an abstract model in which all choices involve using or trading property claims, and people know and care about only their own private interests. Then we show that in this model, exchange at market prices will satisfy a particular definition of efficiency — either Pareto, where no one can get a better outcome without someone else getting a worse one, or Kaldor-Hicks, where improvements to one person’s situation at the expense of another’s are allowed as long as the winners could, in principle, make the losers whole. Finally, in a sort of argument by homonym, this specialized and near-tautological meaning of “efficiency” is imported back into real-world settings, where it is used interchangeably with the everyday doing-more-with-less one.

When someone steeped in the economic style of thinking says “efficiency,” they mean something quite different from what normal people would. Rather than a favorable ratio of measurable out- puts to inputs, they mean a desirable outcome in terms of unmeasurable welfare or utility, which is simply assumed to be reached via markets. A great part of the power of economics in policy debates comes through the conflation of these two meanings. A common-sensical wish to get better outcomes with less resources gets turned into a universal rule that economic life should be organized around private property and private exchange.

Berman is well aware of the ambiguities of her key term, and the book contains some good discussions of these different meanings. But that understanding seldom makes it into the primary narrative of the book, where economists are allowed to pose as advocates of an undifferentiated “efficiency,” as opposed to non-economic social and political values. This forces Berman into the position of arguing that making government programs work well is in conflict with making them fair, when in reality an ideological preference for markets is often in conflict with both.

To be sure, there are cases where Berman’s frame works. Health care as a right is fundamentally different from a good that should be delivered efficiently, by whatever meaning. But in other cases, it leads her seriously astray. There are many things to criticize in the United States’ thread- bare welfare state. But is one of them really that it focuses too much on raising recipients’ in- comes, as opposed to relieving their “feelings of anomie and alienation”? Or again, there are many reasons to prefer 1960s and ‘70s style environmental regulation, with simple categorical rules, to the more recent focus on incentives and flexibility. But I am not sure that “the sacredness of Mother Earth” is the most convincing one.

That last phrase is Berman’s, from the introduction. It’s noteworthy that in her long and informative chapter on environmental regulation, we never hear the case for strong, inflexible standards being made in such terms. Rather, the first generation of regulators “built ambitious and relatively rigid rules … because they saw inflexibility as a tool for preventing capture” by industry, and because they believed that “setting high, even seemingly unrealistic standards … could drive rapid improvements” in technology. Meanwhile, their economics-influenced opponents like Charles Schultze (a leading economist in the Johnson and Carter administrations, and a central figure in the book) and Carter EPA appointee Bill Drayton, seem to have been motivated less by measurable policy outcomes than by objections on principle to “command and control” regulation. As one colleague described Drayton’s belief that companies should be allowed to offset emissions at one plant with reductions elsewhere, “What was driving Bill was pure intellectual conviction that this was a truly elegant approach — The Right Approach, with a capital ’T’ and ‘R’.” This does not look like a conflict between the values of equity and efficiency. It looks like a conflict between the goal of making regulation effective on one side, versus a preference for markets as such on the other.

On anti-trust regulation, the subject of another chapter in the book, the efficiency-versus-equity frame also obscures more than it reveals. The fundamental shift here was, as Berman says, away from a concern with size or market share, toward a narrower focus on horizontal agreements between competitors. And it is true that this shift was sometimes justified in terms of the supposed greater efficiency of dominant firms. But we shouldn’t take this justification at face value. As critical anti-trust scholars like Sanjukta Paul have shown, courts were not really interested in evidence for (or against) such efficiency. Rather, the guiding principle was a preference for top-down coordination by owners over other forms of economic coordination. This is why centralized price-setting by Amazon is acceptable, but an effort to bargain jointly with it by publishers was unacceptable; or why manufacturers’ prohibitions on resale of their products were accept- able but the American Medical Association’s limits on advertising by physicians was unacceptable. The issue here is not efficiency versus equity, or even centralized versus decentralized economic decision making. It’s about what kind of authority can be exercised in the economic sphere.

Berman ends the book with the suggestion that rebuilding the public sector calls for rethinking the language in which policies are understood and evaluated. On this, I fully agree. Readers who were politically active in the 2000s may recall the enormous mobilizations against George W. Bush’s proposals for Social Security privatization — and the failure, after those were abandoned, to translate this defensive program into a positive case for expanding social insurance. More recently, we’ve seen heroic labor actions by public teachers across the country. But while these have sometimes succeeded in their immediate goals, they haven’t translated into a broader argument for the value of public services and civil service protections.

As Berman says, it’s not enough to make the case for particular public programs; what we need is better language to make the positive case for the public sector in general.