Hydraulic Modeling

[Irving] Fisher designed a hydrostatic machine to illustrate the economic “‘exchanges’ of a great city” that revealed the ways that the values of individual goods were related to one another. When Fisher adjusted one of the levers, water flowed to affect the general price level of the range of goods. The device resembled a modern-day foosball table but with various cisterns of different shapes and heights representing individual consumers and producers….A series of levers along the side of the machine altered the flow of water, thus changing the price level not only for an individual but throughout the entire economy. The machine revealed the way in which prices, supply, and consumer demand interrelated. For example, if the price of a good fell (and the level of water rose), more consumers would purchase it, and a new equilibrium would emerge.

The quote is from Fortune Tellers, a historical work by Walter A. Friedman that I received as a review copy. He tries to recover the era of economic forecasting between 1900 and 1940, before the computer and before Keynesian economics.

Gerald O’Driscoll vs. Scott Sumner

O’Driscoll writes,

When the Kennedy and Johnson Administrations started engaging in fiscal activism under the sway of Keynesianism, the Federal Reserve under Chairman William McChesney Martin monetized the resulting deficits.

Sumner writes,

I do not believe the “Great Inflation” of 1965 – 81 was caused by the monetization of fiscal deficits. The deficits were relatively modest during that period, and the national debt was falling as a share of GDP. Deficits became a much bigger problem beginning in 1982, but that’s exactly when inflation fell to much lower levels. Instead the Great Inflation was probably caused by a mixture of honest policy errors and politics.

Let me throw a third hypothesis into the mix. There was a fair amount of money illusion in financial markets in the 1970s. That is, people looked at high nominal interest rates and thought that this would slow down inflation. In fact, interest rates were not high enough. Relative to financial markets, the Fed was following rather than leading. It was reflecting the views of Wall Street. Finally, in the early 1980s, the “bond market vigilantes” took over, and we had high real interest rates, high unemployment, and a slowdown in inflation. Just to be clear, I am giving the credit for high interest rates to the bond market vigilantes, not to Paul Volcker.

Wealth Illusions

From Frederick Taylor’s The Downfall of Money:

In the end, no one really got their money, not even the Americans. Germany used the American loans it received under the 1924 Dawes plan to pay reparations to the French and the British, who in turn used the money to service their own debts to the USA. Then, during the Great Depression, all the major powers, including Germany, France and Britain, effectively defaulted on what they owed to America, and into the bargain the Germans defaulted on reparations.

This reminded me of one of Tyler Cowen’s mantras, that we are not as wealthy as we thought we were. His implied model of recent economic events is that we had illusory wealth during the housing bubble and then reality bites. Some random thoughts:

1. Taylor’s picture of the 1920s suggests a possible wealth-illusion story for the Great Depression. The Germans did not think that they were going to pay anywhere near the full amount of reparations, so they did not count that full amount in their liabilities. However, the Allies were counting on receiving the full amount of reparations (as my previous post on the book indicates, the citizens were led to expect even more than the political leaders were really going to try to collect). In effect, reparations were being double-counted as aggregate wealth, with consumers in the Allied countries counting them as assets but without offsetting liabilities in German households. Then, around 1930, Allied households finally marked down their wealth, and you had the Great Depression.

2. Macroeconomists know that Keynesian fiscal policy effectiveness depends on wealth illusion. The question “Are government bonds net wealth?” must be answered “yes” in order for deficit spending to raise aggregate demand. Otherwise, if Barro-Ricardian equivalence holds (so that the increased wealth of the holders of government bonds is offset by the decreased wealth of households who have marked up their future tax liabilities), then deficits are not clearly expansionary.

3. In theory, wealth illusions do not have to be destabilizing. Economic activity does not have to rise and fall just because people have higher or lower perceptions of wealth. Complete wage and price flexibility would be sufficient to maintain full employment. I am not sure that complete wage and price flexibility is even necessary. However, in practice it seems likely that wealth illusions would prove to be destabilizing.

4. From a PSST perspective, one can imagine all sorts of patterns of trade that depend on perceptions of wealth. When wealth illusions break down, it is not as if all households take an equally proportionate hit. Some households lose more than others. For example, when the housing bubble broke, people who had a lot of their (illusory) wealth in housing lost more than people who did not. So when (illusory) wealth is redistributed, old patterns of specialization and trade become unsustainable, and there will be unemployment until new patterns are established.

5. One could argue that the increase in government debt financed by quantitative easing is fostering a wealth illusion in countries where it is taking place. Indeed, that is in some sense the intent–see point (2). Perhaps we should be more worried than we are about how the process of unwinding this wealth illusion can be accomplished without pain. Actually, I am plenty worried about it.

Market Monetarists Jump the Shark

Scott Sumner writes,

In America mortgage debt is commonly structured so that monthly payments stay constant over 30 years. This means that during periods of high NGDP growth, when nominal interest rates are also high, monthly payments will start very high in real terms, and then fall rapidly in real terms. But your ability to qualify for a house depends on how large the initial nominal monthly payment is, relative to your current income.

Read the whole thing. The logic is this:

1. In the 1970s, house prices started rising, but they did not rise as much as during the recent bubble.

2. In the 1970s, because mortgage rates were high, even though real interest rates were low it was hard to get mortgage credit. That is what choked off the bubble. The same thing did not happen in the recent bubble.

3. High mortgage rates reflect loose monetary policy. Hence, the difference between the 1970s and the recent bubble is that this time monetary policy was tighter.

I agree that there is a “money illusion channel” between nominal interest rates and housing. Back in the 1970s, economists proposed price-level-adjusted mortgages (PLAMs) to get around this problem. If you want more background, go to MRUniversity and watch the first half-hour or so of videos from my housing course.

But….come on. The extension of the recent bubble compared to the 1970s came from the abandonment of standards for down payments. If you think that looser monetary policy would have choked off the recent housing bubble, you’ve jumped the shark.

The Forgotten Sixties

Frank Diebold reports,

I am sad to report that Lawrence R. Klein has passed away. He was in many respects the father of modern econometrics and empirical macroeconomics; indeed his 1980 Nobel Prize citation was “for the creation of econometric models and their application to the analysis of economic fluctuations and economic policies.”

Pointer from Tyler Cowen.

In my macro book, I talk about the 1960s as The Little Moderation, in order to stress its similarity to the Great Moderation of 1986-2007. However, another term might The Forgotten Sixties. Some of what has been forgotten is the excitement that was generated by macroeconometrics. Economists who made significant contributions in this area were awarded several of the early Nobel Prizes–Frisch and Tinbergen (1969, the first year of the Nobel in economics), Koopmans (1975), and Klein (1980). Yet I will venture to guess that one cannot find a single graduate school syllabus today that mentions the work of those laureates.

The same holds for the leading policy makers of the era. Who under the age of 50 has heard of Walter Heller or Otto Eckstein? I assume that Alan Greenspan will be long remembered and will continue to receive credit for the presiding over The Great Moderation (his culpability for the financial crisis is still being assessed). During the Little Moderation, the Federal Reserve received no credit. The Fed Chairman was William McChesney Martin, who today is remembered only for the “punch bowl” metaphor, which he evidently borrowed.* In the 1960s, everybody attributed good economic performance to fiscal policy, not to the Fed.

The macroeconometricians and the Kennedy-Johnson economists were at the top of the economics profession in the 1960s. As the Great Stagflation gathered force in the 1970s, they lost all of their prestige. Hence, the Forgotten Sixties.

*In October of 1955, he said,

The Federal Reserve, as one writer put it, is in the position of the chaperone who has ordered the punch bowl removed just as the party was warming up.

Pointer from Timothy Taylor.

1930s Bank Failures and Output: DYTVSC?

Jeffrey Miron and Natalia Rigol write,

assume it takes at least a month for bank failures to disrupt credit intermediation and thereby lower output. Under this assumption, any contemporaneous relation between output and failures is assumed to represent the impact of output on failures. We can then determine the effects of failures on output by excluding contemporaneous failures from the regressions. At a minimum, it seems reasonable to consider this specification.

Table 3 presents the results. In these regressions, bank failures have no predictive power for
output; indeed, the coefficients on bank failures imply that failures predict increases in output. Thus, if the
identifying assumption implicit in Table 3 is correct, these data and this specification provide no evidence
(indeed, contradict) the view that bank failures cause output declines.

DYTVSC means “Did you two visit the same country?” The person with the opposite point of view is Ben Bernanke.

Scott Sumner has more.

Revisiting the Great Stagflation

Karl Smith writes,

I tend to think far little attention has been paid to the rapid increase in the work force due to the entrance of baby boomers and women. Economists are so sensitive to any argument against immigration they seem to forget that any growth model that I am aware of will predict a decline in per capita GDP if the population rises fast enough.

He cites a 1999 paper by Athanasios Orphanides, who wriote,

I examine the evolution of estimates of potential output and resulting assessments of the output gap during the 1960s and 1970s. My analysis suggests that the resulting measurement problems could be attributed in large
part to changes in the trend growth of productivity in the economy which, though clearly seen in the data with the benefi t of hindsight, was virtually impossible to ascertain in real-time.

I am glad to see folks renewing their interest in the Great Stagflation. I certainly spend a lot of time on it in the book that I am working on. In my case, I am particularly interested in the human dimension of how it affected economists. There was much more professional turmoil back then. For example, consider how quickly the great economists of the 1960s went from the center of the profession to its periphery. In 1968, if you had held a session at the AEA meetings featuring Walter Heller, Arthur Okun, Lawrence Klein, and Otto Eckstein, you would have needed a ballroom to accomodate everyone who wanted to attend. In 1974, you could have held it in a suite.

Contrast that with the impact of the Great Recession. Who were the big names before it hit? Blanchard, Woodford,, Bernanke, Gali. Who are the big names now? Same ones.

So in the 1970s, unexpected macroeconomic events create a dinosaur extinction. Today, nothing. Explain that to me.

Concerning the point raised by Karl Smith and Steve Waldman, as best I recall, economists back then were making adjustments for changes in the composition of the work force in their calculations of trend productivity growth. That was part of the story for poor economic performance, but not all of it. Some points to consider.

1. As I posted a while back, Alan Blinder thinks that much can be accounted for by a series of supply shocks–from oil price increases to Peruvian anchovy disappearances. I would add that I think that price controls were a self-inflicted supply shock, particularly in the oil market. At the time, many economists (Blinder among them) wrongly thought that price controls were a favorable supply shock. But I think that by messing up market adjustments they were an adverse shock.

2. I think that there was a lot of money illusion in financial markets in the 1970s. That is, people looked at high nominal interest rates and treated them as high real interest rates. Thus, as Modigliani and Cohn (you can Google Modigliani Cohn 1979) pointed out, the stock market seemed to be discounting real earnings at nominal rates. But the main problem was that real rates remained very negative. In my view, this was the fault of the private sector, although I think there was money illusion at the Fed as well. But in my view, regardless of what the Fed was doing with short-term rates, nobody was forcing long-term bond investors to take negative real rates. Yet that is what they did.

So the story I would tell is that the high inflation came from these negative real interest rates, and perhaps from the series of supply shocks Blinder discusses. The high unemployment came from the energy shock, exacerbated by the self-inflicted disruption of price controls.

Robert Gordon on the Phillips Curve

He writes (can anyone find a free, ungated copy?),

The implied short-run unemployment NAIRU is highly stable, staying in the range of 3.9 to 4.4 percent between 1996 and 2013. However, the rise in the extent and duration of long-run employment causes the NAIRU for the total unemployment rate (short-run plus long-run) to increase from 4.8 percent in 2006 to 6.5 percent in 2013:Q1. As a result, this paper supports the recent research that argues that there has been an increase in structural unemployment taking the form of long-run unemployed.

Gordon talks up what he calls the “triangle” approach to the Phillips Curve, as opposed to the New Keynesian approach (NKPC).

The triangle approach differs from the NKPC approach by including long lags on the dependent variable, additional lags on the unemployment gap, and explicit variables to represent the supply shocks…the change in the relative price of non-food non-oil imports, the eight-quarter change in the trend rate of productivity growth, and dummy variables for the effect of the 1971-74 Nixon-era price controls.

This methodology is so reminiscent of the 1970s that it makes me want to wear bell-bottom jeans and listen to disco.

No inflation model has any credibility unless it deals explicitly with the supply shocks that created the positive inflation-unemployment correlation in the 1970s and early 1980s and the lead of inflation ahead of unemployment. But this was not the only episode. Between 1996 and 2000 the unemployment rate descended far below its 5.84 average to less than 4.0 percent, and yet the inflation rate did not speed up as it had done in the late 1960s and late 1980s. The triangle model explains why inflation was so tame, pointing to beneficial supply shocks during the late 1990s – oil prices were low, the dollar was appreciating, and productivity growth was reviving.

He points out that a simple plot of the Phillips relation between 1970 and 2006 looks simply awful (from the point of view of anyone who thought that the 1960s Phillips Curve would persist).

The overall correlation appears to be positive but very weak, close to zero, and the 1970-80 observations in the scatter plot once led Arthur Okun to describe the PC as “an unidentified flying object.”

Gordon’s productivity trend acceleration variable is really important.

Its deceleration into negative territory during 1964-1980 might be as important a cause of accelerating inflation in that period as its post-1995 acceleration was a cause of low inflation in the late 1990s. Note also that the productivity growth trend revival of 1980-85 may have contributed to the success of the “Volcker disinflation,” a link that has been missed in most of the past PC literature. There has been a sharp deceleration of trend productivity growth since 2004, helping to explain the absence of deflation in the past few years.

Note that there are other ways to arrive at a negative correlation between productivity growth and inflation. You could have measurement error in the rate of inflation (if you overstate price increases, you understate productivity growth, and conversely). You could have the Fed following a policy that approximately targets nominal GDP, so that when productivity goes up inflation goes down, and conversely.

From a modern perspective (meaning any graduate macro syllabus after 1975), the “triangle” model is hard to swallow. In Gordon’s model, the only way for money to affect inflation is through the “output gap.” My guess is that this makes hyperinflation a mathematical impossibility in the Gordon model–to get to 100 percent inflation rates would probably require decades of a negative output gap, which is not what preceded any of the many actual hyperinflations in the world.

For me, the important point is to keep in mind is that there is no unique interpretation of the path of nominal GDP, employment, productivity, and inflation. Take any three of those as given, and you arrive at the fourth. Arithmetically,

[1] growth in nominal GDP minus growth in inflation = growth in employment plus growth in productivity

Scott Sumner says “tell me the path of nominal GDP, and I will tell you the path of employment.” He is bound to be right, as long as you do not have to worry about how inflation and productivity move in the short run. And they will move in opposite directions to the extent that inflation is measured with error.

Robert Gordon says “tell me productivity growth and the rate of short-term unemployment, and I will tell you the rate of inflation.” He is bound to be right about productivity growth, since if we hold nominal GDP growth and employment constant, productivity growth and inflation vary inversely. His problem is that, arithmetically, employment and inflation should be negatively related. But if you eliminate all instances of positive relationships between unemployment and inflation by calling them “supply shocks” (which differ from time-varying productivity), then by golly, the Phillips Curve is indeed “alive and well.”

I say that in order to claim to have a macroeconomic model, you have to treat nominal GDP, employment, inflation, and variations in trend productivity all as endogenous. Otherwise, you are just choosing one interpretation from among many.

The Great Stagflation Revisited

Alan s. Blinder and Jeremy B. Rudd write,

This paper reexamines the impacts of the supply shocks of the 1970s in the light of the new data, new events, new theories, and new econometric studies that have accumulated over the past quarter century. We find that the classic supply-shock explanation holds up very well; in particular, neither data revisions nor updated econometric estimates substantially change the evaluations of the 1972-1983 period that were made 25 years (or more) ago. We also rebut several variants of the claim that monetary policy, rather than supply shocks, was really to blame for the inflation spikes.

In his 1967 AEA Presidential address (published in 1968), Milton Friedman predicted the death of the Phillips Curve. When this prediction apparently came true a few years later, most of the profession shifted toward the view that inflation is a monetary phenomenon. A few economists remained unconvinced, and Blinder appears to be one of them. Blinder has always blamed the high inflation of the 1970s on rising food and energy prices and the removal of the wage-price controls of 1971-73. He and his co-author write,

a permanent increase in the level of energy prices should cause a quick burst of inflation which mostly, but not quite (because of pass-through to the core), disappears of its own accord. Once again, headline inflation quickly converges to core, but now core inflation remains persistently higher than it was before the shock.

This sentence would horrify anyone who took macro at MIT when I was there, by which point there was a monetarist influence, coming from Dornbusch and Fischer. Blinder is saying that a one-shot increase in the relative price of oil will cause a permanent increase in the rate of inflation. And he is ignoring the money supply. As an aside, he seems to be casually equating a the level of prices with the rate of change of prices.

I actually admire this willingness to go against prevailing fashion. Moreover, he may be right. It is an article of faith among economists that the 1970s inflation and the 1980s disinflation both came from monetary policy, but that does not make it a proven fact. Maybe we have too much faith. Instead, we should be willing to examine data and adopt a skeptical perspective.

In any case, this is a must-read paper for anyone interested in macroeconomic history. It reminds us of the “food shocks” that took place. It reminds us that the CPI used to include the mortgage interest rate. It reminds us that

the main effect of the OPEC I production cuts, which were neither exceptionally large nor long-lasting, was to create significant uncertainties about oil supply, which induced a surge in precautionary demand for oil.

In fact, I wonder if the first oil shock might have been more U.S.-based than OPEC-based. The Democratic Congress and Presidents Nixon and Ford were obsessed with trying to keep consumer energy prices and oil company profits down. They concocted a Byzantine scheme of price controls, oil allocation, and “windfall profits” taxes. The technocrats spoke of “old oil” (oil that had been discovered in the U.S. prior to the fall of 1973) “new oil” (oil discovered since that date), and “imported oil.” Their goal was to try to make the energy market work as if oil companies were selling “old oil” at pre-1973 prices. Perhaps it was these attempts to centrally administer oil production that were the real supply shock.

The authors continue,

Similarly, the rise in prices associated with the second OPEC shock appears to have been driven more by fear of future shortages than by actual reductions in supply.

Or perhaps the oil industry anticipated another round of byzantine regulation and punitive taxes. Recall that instead, when President Reagan took office in 1981, one of his first acts was to get rid of the remaining price controls in the energy market.

Blinder comments on the puzzle that subsequent energy price shocks had less effect on both inflation and unemployment. He cites a number of possible explanations: a less energy-intensive economy; more flexible wages; more public confidence that the Fed will hold down inflation. I think that the answer might be less attempts to regulate prices and profits in the domestic oil market.

Big Gods

That is the title of a new book by Ara Norenzayan. I have just started it. It appears to be an account of religion that is based on evolutionary psychology. He argues that the religions that thrived are those with (p. 6-7)

beliefs and practices that reflect credible displays of commitment to supernatural beings with policing powers.

This facilitates trust in strangers, which is otherwise difficult for humans (or any other species) to achieve.

I found the book very persuasive–perhaps too persuasive. I worry that so many of the psychology experiments that provide support for his propositions use “priming” techniques, and I wonder how well they replicate. I also worry that the idea that fasting and other painful rituals help to signal commitment makes for a “just-so” story.

Here is a question to think about. If religions help to create social capital by allowing people to signal conscientiousness, conformity, and trustworthiness, how does this relate to Bryan Caplan’s view that obtaining a college degree performs that function?