Equitable Growth’s Jobs Day Graphs: April 2018 Report Edition

Earlier this morning, the U.S. Bureau of Labor Statistics released new data on the U.S. labor market during the month of April. Below are five graphs compiled by Equitable Growth staff highlighting important trends in the data.

1.

The prime employment rate held steady at 79.2 percent in April. This statistic is a good predictor of wage growth, so look to it when thinking about when wages will pick up.

2.

Looking at multiple measures of wage growth shows that it’s accelerating, but unlikely to shoot upward anytime soon.

3.

The share of the unemployed who’ve been out of work for more than 15 weeks ticked up in April, but the trend over the recovery is down. Those unemployed for 27 weeks or more were 22.8 percent of the unemployed in April 2017. They were only 20 percent of that group in April 2018.

4.

The gap between white unemployment and unemployment for workers of color remains, but the unemployment rate for Black workers hit an all-time low in April.

5.

As the economy has recovered from the Great Recession, number of workers involuntarily in part-time employment has declined. Yet the number is still a bit above pre-recession levels.

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The extremely sharp Joe Romm: Trump voters hurt most by Trump policies, new study finds: “Failure to stop business-as-usual global warming will deliver a severe economic blow to Southern states

The extremely sharp Joe Romm: Trump voters hurt most by Trump policies, new study finds: “Failure to stop business-as-usual global warming will deliver a severe economic blow to Southern states, a recent paper by the Federal Reserve Bank of Richmond finds…” and he sends us to: Riccardo Colacito, Bridget Hoffman and Toan Phan: Temperature and Growth: A Panel Analysis of the United States: “Seasonal temperatures have significant and systematic effects on the U.S. economy… Continue reading “The extremely sharp Joe Romm: Trump voters hurt most by Trump policies, new study finds: “Failure to stop business-as-usual global warming will deliver a severe economic blow to Southern states”

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The well-worth reading Ryan Cooper trolls me: Ryan Cooper: It’s time to normalize Karl Marx

The well-worth reading Ryan Cooper trolls me: Ryan Cooper: It’s time to normalize Karl Marx: “For elite American economists, Marx has long been viewed as absolutely anathema, if not some kind of demon…

…producing an enormous taboo against seriously considering or even mentioning his ideas. Back in 2006, liberal Berkeley economist Brad DeLong jokingly sneered his book Capital would “introduce serious, permanent bugs into your wetware” (that is, your brain), and therefore reading it “should only be done by somebody with immunity to the mental virus — by a trained intellectual or social or economic historian, or by a trained neoclassical economist.” In other words, the best person to crack the dread tome is someone who is already a committed right-winger…

Ima not going to rise to the bait. But you can read what I really wrote a decade ago, if you wish…

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The highly-estimable Steve Randy Waldmann hoists the banner of “employment for societal usefulness, not for profit”. Smart guy: Steve Randy Waldman: Smile

The highly-estimable Steve Randy Waldmann hoists the banner of “employment for societal usefulness, not for profit”. Smart guy: Steve Randy Waldman: Smile: “Pairing a UBI with a job guarantee would mitigate the risk that we neglect the broader project of integrating one another into a vibrant society…

…that we let a check in the mail substitute for human engagement. If we could get both a UBI and a JG, that’d be great. (Of course, if we did get both, we’d want the numbers to be different than either as a standalone.) However, I am not so worried about an embarrassment of riches. We’ll be fortunate to get one, either one, implemented well enough not to subvert its purpose. I see no reason not to advocate both. People make this stupid argument about how we have to choose where we want to “expend our political capital”…. But most of the time this quasi-material analogy is worse than dumb. Political capacity is much more like muscle than gold, the more you use it the more you have. Advocating for UBI and advocating for a job guarantee are complementary activities. Both push against the present, barbaric consensus, under which human sacrifice to a drunken god of business cycles and market forces is defended by the fearfully fortunate as a price that must be paid. The way we squander our political capacity is not by arguing for UBI when we should be arguing for JG or vice versa. It’s when we argue with one another about which we should argue for…. Much of the take-making on the subject of a job guarantee has been driven first and foremost by authors’ self-positioning as advocate or critic….

One of the things that I think is a mistake in the current job guarantee debate is a focus on productivity too narrowly defined…. In the hallowed private market, it is not uniformly the case that a need is identified and then the cog—um, I mean, the body—is hired to fill it. Successful firms define roles to make the most of unusually talented people they are fortunate to have. An increasing share of private work cannot be easily codified and Taylorized, but involves ongoing improvisation, collaboration, and negotiation…. A job guarantee that had an unlimited number of slots on a mid-20th Century assembly line producing valuable, salable widgets might be easy to defend as “productive”, but would be wasteful of worker talents and poor preparation for participation in the modern economy….

For a job guarantee program… success… shouldn’t… be a “market test”…. In much of the conversation about a job guarantee, advocates understandably work hard to argue that employment on the proposed terms can provide “real” value, and so emphasize activities whose importance and moral worth is difficult to deny…. In a job guarantee context, I don’t think we will get to keep the valuable but largely hidden eldercare if there are not also things whose social worth will be more contestable by naysayers and scolds but also visible and enjoyable to a broad base of voters and taxpayers. Wherever the job guarantee is, there should be festivals and block parties. There should be children’s theater in the park. There should be visible beautification, beyond just the cleaning of litter…. Should a locally administered, Federally funded job guarantee program come to exist, a litmus test for its success will be the reaction of localities. Usually, localities compete with one another to shed the unemployed…. The job guarantee will succeed only if officials who reverse that impulse, who welcome job guarantee workers (and the Federal money they bring), are rewarded at the voting booth for doing so…

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New technologies, occupational tasks, and earnings inequality in the United States

A woman signs up for a resume writing workshop. A new working paper finds that the adoption of new technologies such as Microsoft Office and Java leads to increases in pay inequalities between more- and less-educated workers.

A new working paper published today by the Washington Center for Equitable Growth explores the relationship between the adoption of new technologies in occupations across the U.S. economy and how technology usage within occupations is contributing to growing income inequality. The four authors—economists Enghin Atalay and Phai Phongthiengtham at the University of Wisconsin-Madison, Sebastian Sotelo at the University of Michigan, and Daniel Tannenbaum at the University of Nebraska—examine how the adoption of these new technologies, among them the Microsoft Office suite of software products, the operating language Unix, and the programming language Java, affect the demand for routine and nonroutine occupational tasks, and thus earnings inequality, between 1960 and 2000.

The four authors build upon their earlier working paper published in 2017, which showed that since the 1960s, occupational tasks in the United States have shifted broadly away from routine tasks and toward nonroutine tasks—a shift that occurred within occupations rather than between them. I wrote about these changes in the nursing occupation, for example, throughout the 20th century here. For that earlier working paper, the authors constructed an open source database of occupational characteristics, including skills requirements, technology use, and work activities, from text analyses of job ads published between 1940 and 2000 in The Boston Globe, The New York Times, and The Wall Street Journal. Now, in the new working paper, they built upon this prior work with data on 48 new technologies to document the relationship between the tasks that workers perform and the technologies they use.

The authors use these data to construct a general equilibrium model that shows the introduction of new technologies shifted workers’ tasks within occupations toward nonroutine analytical tasks. This increase in demand for nonroutine analytical tasks such as problem solving, intuition, creativity, and persuasion translates into greater demand for highly educated workers who are relatively better at conducting these types of tasks.

They find that the adoption of new technologies in turn led to an increase in pay inequality between more- and less-educated workers. Their analysis shows that the introduction of a range of new technologies is responsible for 17 percent of the increase of the difference in earnings between college- and high school-educated workers from 1960 and 2000. The one exception is Microsoft Office, which instead increased demand for nonroutine interactive tasks and thus slightly decreased the overall skills premium and earnings inequality.

The four researchers leveraged their rich database on occupational characteristics such as task content, skill requirements, and technology usage during the post-industrial period to ask important questions about occupational sorting and the advent of new technologies on earnings inequality. This same database could be leveraged by others interested in how labor markets have changed over time. Open questions about shifts in educational requirements among and between occupations or the changes in characteristics of internships, apprenticeships, and other temporary training opportunities could still be explored. There are plenty of analyses that researchers could conduct with these data to examine changes in particular occupations over the course of the 20th century.

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Economic history becomes big data: Ran Abramitzky, Roy Mill, and Santiago Pérez: Linking individuals across historical sources: A fully automated approach

Economic history becomes BIG DATA: Ran Abramitzky, Roy Mill, and Santiago Pérez: Linking Individuals Across Historical Sources: a Fully Automated Approach: “Linking individuals across historical datasets relies on information such as name and age that is both non-unique and prone to enumeration and transcription errors…

…These errors make it impossible to find the correct match with certainty. We suggest a fully automated method for linking historical datasets that enables researchers to create samples that minimize type I (false positives) and type II (false negatives) errors. The first step of the method uses the Expectation-Maximization (EM) algorithm, a standard tool in statistics, to compute the probability that each two observations correspond to the same individual. The second step uses these estimated probabilities to determine which records to use in the analysis. We provide codes to implement this method…

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As chief acolyte of the “hysteresis view”, I must protest!: Benoît Cœuré: Scars that never were? Potential output and slack after the crisis

As Chief Acolyte of the “hysteresis view”, I must protest! The very sharp Benoît Cœuré thinks “hysteresis” means that the sharp downward shock to the level of production in 2008-2010 has caused a permanent fall in the long-run growth rate. But that is not what we ever said: We said that not all of the sharp downward shock to the level of production in 2008-2010 would be made up, not even after decades. We are now one decade after the shock, and so far “not all” means “20%”—only one-fifth of the gap between production after the downward shock and the previous trend has been recouped. I hope and expect that 20% to grow over the next two decades. But it is not going to reach 100%: the “hysteresis view” has proved correct: Benoît Cœuré: Scars that never were? Potential output and slack after the crisis: “To be clear… I do believe that deep recessions can have effects on the supply capacity of the economy that may take some time to unwind…

…The crisis has affected the “intensive margin” of the euro area labour market… people working involuntarily in part-time or temporary positions. But it is not plausible that those effects could be as dramatic and long-lasting as the “hysteresis view” would suggest. Since these workers remained attached to the labour market, they represented a broader definition of slack rather than a new category of structurally unemployed workers…. Such people… had been scratched by the crisis, but not necessarily scarred. This is not to say that these scratches are not deep…. Current estimates of structural unemployment do indeed confirm that the initial revisions were exaggerating the impact the recession would have on labour force participation. And they might currently exaggerate the impact the current expansion might have on lowering structural unemployment…. In other words, it may well be that potential growth fell by less than we estimated during the depths of the crisis, and it is rising by less than we believe as the economy strengthens…. Both the sudden drop in estimated potential growth in 2009, and the sharp rebound thereafter, are likely to be statistical artefacts, at least to some extent….

I would argue that there are two, largely complementary, reasons for cautious optimism. Both are related to the fourth industrial revolution, or the digitisation and automation of our economies. The first… [is] the time it… takes for new technologies to reach critical mass. History suggests that technology usually takes considerable time…. It could be less of a concern that we are not yet seeing the effects of digitisation…. It may simply be a matter of time…. Second… transformation of business models along the lines of digitisation is typically more difficult in periods of weak demand…. This is different from hysteresis effects, where some observers argue that we are permanently entering a “1% economy” of low growth, low inflation and low neutral rates of interest as firms invest less in new capacity and technology, causing productivity growth to stabilise at lower levels and weak potential growth to become self-fulfilling…. Another scratch so to speak, not a scar…

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Equal access to a good education is not just about sound school budgets

Children born into poor and wealthy families alike should have an equal chance of achieving their dreams. But this is not the reality in practice. The income of a child’s parents is strongly correlated with the child’s life outcomes—such as educational attainment, occupational choice, or earnings—in adulthood. Opportunity is far from equal.

Recent research shows that the strength of the association between the child’s parents’ income and her own adult income—a useful measure of inequality of opportunity—varies a great deal between different places across the United States. In some areas, such as Salt Lake City and Los Angeles, the intergenerational association is small, which means the chances for children from low-income families to get ahead are close to those of children from high-income families, so opportunity is relatively equal.


Updated Working Paper
Inequality of educational opportunity? Schools as mediators of the intergenerational transmission of income


In other areas, however, such as Cincinnati and Memphis, intergenerational associations are strong, meaning differences in life outcomes between children from low-income versus high-income families are large and that opportunity is far from equally distributed. Children from low-income families are less likely to do better than their parents, while children of high-income parents will stay in the upper income brackets.

What explains the geographic variation in this intergenerational transmission of economic status? What is going right in Los Angeles and Salt Lake City but going wrong in Cincinnati and Memphis? A natural hypothesis is that these differences have to do with the quality of the local schools. Schools should be an engine of economic mobility, allowing bright, hardworking children to advance regardless of their family backgrounds. But schools are themselves often unequally distributed, and many schools serving poor children are poorly funded and low-performing.

So perhaps some low-transmission, high-economic-equality cities such as Salt Lake City and Los Angeles simply have better, more equal school systems that produce better and more equal educational outcomes and thus more equal incomes as adults. Or perhaps the differences have nothing to do with schools and instead relate to differences in labor markets in these cities—perhaps when job opportunities are more plentiful and pay is more equal, it does not matter as much whether a child had access to good schools.

In a recent paper, I assess the contributions of education and labor markets to differences across regional labor markets—commuting zones—in the United States in the intergenerational transmission of economic status. To do this, I ask whether parental income matters more for children’s educational outcomes, such as test scores and college completion, in local areas where there is stronger transmission of parental income to children’s incomes, as would be expected if the school system were a key link in this transmission.

I find that there is a great deal of variation in educational transmission across the country. Some areas do much better than others at producing closer-to-equal test scores for children from poor and rich families. Yet areas with small test-score gaps do not have lower-than-average income transmission. In other words, differences in access to high-quality elementary and secondary schools are not a key channel driving the strength of the association between parents’ incomes and their children’s incomes when they reach adulthood.

There is a bit more evidence that higher education is an important part of the story. Gaps in college enrollment and graduation are associated with intergenerational income transmission, though even here, the association is too small to account for much of the variation between regions in income transmission.

The upshot: There is little evidence that differences in the quality of primary, secondary, or postsecondary schools, or in the distribution of access to good schools, are a key mechanism driving variation in intergenerational mobility. The evidence instead points toward other factors influencing income inequality. In particular, labor markets seem to be quite important. Even when children’s test scores and educational attainment are held constant, children from poor families have higher adult earnings when they grow up in low-transmission (greater-opportunity) areas than when they are from low-opportunity, high-transmission areas. This is in part because the high-transmission areas have unusually large returns to human capital, or stronger relationships between education and earnings. Children from wealthy families do better in school than children from poor families everywhere, so a labor market that puts inordinate weight on skill will be unusually favorable to the wealthy children.

Marriage patterns also seem to matter. In cities and regions where income transmission is weaker, the “marriage gap” between those in their mid-20s from low- and high-income families is much smaller, implying that children from low-income families are more likely to have spouses contributing toward the family budget.

Together, differences in labor markets and marriage patterns account for the great majority of variation in intergenerational mobility across cities and regions in the United States. Variation in relative skill accumulation—the only portion plausibly related to schools—accounts for only 11 percent of the differences between high- and low-opportunity areas, with the rest due to marriage patterns (about 40 percent) and differences in labor market outcomes operating through channels other than skill accumulation, such as the return to skill in the labor market, discrimination, or referral networks that offer advantaged children a leg up in the job market (nearly half). (See Figure 1.)

Figure 1

Understanding better how policymakers can promote equality of opportunity in education as well as in the economy overall should remain a top priority. Educational quality is certainly a key tool to improve opportunity, yet my research indicates that it is far from the whole story. The educational system plays only a small role in explaining differences between high- and low-opportunity areas. Labor market institutions—such as minimum wages, the ability to form and join unions, the career structures of local industries, and other determinants of earnings inequality—are likely to play much larger roles and are also likely to be more powerful levers with which to promote equality of opportunity.

The principle of equal access to the pursuit of happiness is deeply rooted in American history and society. We have never accomplished it, but it remains our country’s highest aspiration. The best measure of the progress we have made toward this goal is the extent to which the circumstances of a child’s birth do or do not predict his or her life outcomes. By this measure, as by others, we have very far to travel. To do better, we need to examine all of the different ways that our society and economy work to erect hurdles in front of children from disadvantaged families—whether those hurdles are limiting access to educational opportunity or ensuring that the children will do worse in the labor market than their more advantaged peers even if they do well in school.

(This post updates an earlier post that ran on August 15, 2017, using updated data and analysis from the author’s April 2018 revision of his working paper.)

—Jesse Rothstein is a professor of public policy and economics at the University of California, Berkeley, and director of the Institute for Research on Labor and Employment at the University of California, Berkeley.

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Kevin Bryan: The 2018 John Bates Clark: Parag Pathak

Kevin Bryan: The 2018 John Bates Clark: Parag Pathak: “Consider the old ‘Boston mechanism’…. Everyone would be allocated their first choice if possible…

…If a school is oversubscribed, some random percentage get their second choice, and if still oversubscribed, their third, and so on. This mechanism gives clear reason for strategic manipulation: you certainly don’t want to list a very popular school as your second choice…. Pathak and Abdulkadiroglu show… sophisticated parents may prefer the old Boston mechanism because it makes them better off at the expense of the less sophisticated! The latter concern is a tough one for traditional mechanism design to handle…. There remains some debate about what is means for a mechanism to be “better” when some agents are unsophisticated or when they do not have strict preferences over all options….

Pathak has also contributed… to the literature on large matching markets…. Where both sides have preferences… there are no stable matching mechanisms where both sides want to report truthfully…. When the market is large, it is (in a particular sense) an equilibrium for both sides to act truthfully; roughly, even if I screw one student I don’t want out of a slot, in a thick market it is unlikely I wind up with a more-preferred student to replace them. There has more recently been a growing literature on what really matters in matching markets: is it the stability of the matching mechanism, or the thickness of the market, or the timing, and so on…

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Mark Thoma on the 2009-2015 Dark Age of macroeconomics: Weekend Reading

Weekend Reading: I would have said that the Dark Age is over. But the behavior of professional Republican economists formerly of note and reputation—and I am looking at you, Robert Barro, Harvey Rosen, Douglas Holtz-Eakin, Larry Lindsey, John Taylor, John Cochrane Glenn Hubbard, Michael Boskin, Charlie Calomiris, Jim Miller, Jagdish Bhagwati, and George Shultz: you know better. And, Marty Feldstein, you really should not have written your defense of Trump’s China tariffs. The 2009-2014 Dark Age looks to me, mostly, like a deliberate decision to be stupid and not think issues through. This one looks like a last, vain attempt to gain some influence on Republican policy: Mark Thoma (2009): “A Dark Age of Macroeconomics”: “Quoting an email [from Paul Krugman], economists who…

…have spent their entire careers on equilibrium business cycle theory are now discovering that, in effect, they invested their savings with Bernie Madoff…

I think that’s right, and as they come to this realization, we can expect these economists to flail about defending the indefensible, they will be quite vicious at times, and in their panic to defend the work they have spent their lives on, they may not be very careful about the arguments they make. I don’t know if the defenders of the classical faith have come to this realization yet, at least beyond the subconscious level, and the profession will most likely move in the same old direction for awhile due to research inertia if nothing else. But I think what has happened will have a much bigger impact on the profession and the models it uses to describe the world than most economists currently realize:

A Dark Age of macroeconomics… Paul Krugman: “Brad DeLong is upset about the stuff coming out of Chicago these days—and understandably so….

…First Eugene Fama, now John Cochrane, have made the claim that debt-financed government spending necessarily crowds out an equal amount of private spending, even if the economy is depressed—and they claim this not as an empirical result, not as the prediction of some model, but as the ineluctable implication of an accounting identity. There has been a tendency, on the part of other economists, to try to provide cover to claim that Fama and Cochrane said something more sophisticated than they did. But if you read the original essays, there’s no ambiguity—it’s pure Say’s Law, pure “Treasury view”, in each case…. Both… are asserting that desired savings are automatically converted into investment spending, and that any government borrowing must come at the expense of investment—period. What’s so mind-boggling about this is that it commits one of the most basic fallacies in economics—interpreting an accounting identity as a behavioral relationship….

So how is it possible that distinguished professors believe otherwise? The answer, I think, is that we’re living in a Dark Age of macroeconomics… knowledge had been lost, that so much known to the Greeks and Romans had been forgotten by the barbarian kingdoms that followed…. The knowledge that S=I doesn’t imply the Treasury view—the general understanding that macroeconomics is more than supply and demand plus the quantity equation—somehow got lost in much of the profession….

Given their understanding of… the basics not the hard stuff, it’s becoming a lot easier to understand how financial economists missed the developing bubble and the effect it would have…. One thing I’ve learned from the current episode is not to automatically trust that the most well-known economists in the field have done due diligence before speaking out on an issue, even when that issue is of great public importance, or even to trust that they’ve thought very hard about the problems they are speaking to.

I used to think that, for the most part, the name brands in the field would live up to their reputations, that they would think hard about problems before speaking out in public, that they would provide clarity and insight, but they haven’t. In fact, in many cases they have undermined their reputations and confused the issues.

People have been deferential in the past, myself included, and these people have been given authority in the public discourse-even when they are demonstrably wrong their arguments show up in the press as a “he said, she said” presentation. But, unfortunately for the economics profession and for the public generally, the so called best and brightest among us have not lived up to the responsibilities that come with the prominent positions that they hold…


Should-Read: Paul Krugman (2009): Economists, ideology, and stimulus: “Mark Thoma and Brad DeLong are both, in slightly different ways, perturbed by the state of debate over fiscal stimulus. So am I…

…This has not been one of the profession’s finest hours. There are certainly legitimate arguments against spending-based fiscal stimulus. You can worry about the burden of debt; you can argue that the government will spend money so badly that the jobs created are not worth having; and I’m sure there are other arguments worth taking seriously.

What’s been disturbing, however, is the parade of first-rate economists making totally non-serious arguments against fiscal expansion. You’ve got John Taylor arguing for permanent tax cuts as a response to temporary shocks, apparently oblivious to the logical problems. You’ve got John Cochrane going all Andrew-Mellon-liquidationist on us. You’ve got Eugene Fama reinventing the long-discredited Treasury View. You’ve got Gary Becker apparently unaware that monetary policy has hit the zero lower bound. And you’ve got Greg Mankiw — well, I don’t know what Greg actually believes, he just seems to be approvingly linking to anyone opposed to stimulus, regardless of the quality of their argument.

Needless to say, everyone I’ve mentioned is politically conservative. That’s their right: economists are citizens too. But it’s hard to avoid the conclusion that all of them have decided on political grounds that they don’t want a spending-based fiscal stimulus — and that these political considerations have led them to drop their usual quality-control standards when it comes to economic analysis.

Has there been any comparable outbreak of mass bad economics from good liberal economists? I can’t think of one, although maybe that’s my own politics showing. In any case, what’s happening now is pretty disturbing…


Should-Read: Paul Krugman (2011): It’s Not About Welfare States: “Whenever a disaster happens, people rush to claim it as vindication for whatever they believed before. And so it is with the euro…

…As an aside, the interesting thing about the euro from a political point of view is the way it cut across the ideological spectrum. It was hailed by the Wall Street Journal crowd, who saw it as a sort of milestone on the way back to gold, and by many on the British left, who saw it as a way to create an alliance of social democracies. It was criticized by Thatcherites, who wanted to be free to move Britain in an American direction, and by American liberals, who believed in the importance of discretionary monetary and fiscal policy.

But now that the thing is in trouble, people on the right are spinning this as a demonstration that … strong welfare states can’t work.

So, just to say what should be obvious, the countries in trouble are not in any way marked out by having especially generous welfare states. You can use a number of indicators; here’s the OECD measure of “social expenditure”, measuring (separately and together) both public spending and private spending that is channeled and regulated by public policy, like US employer-based health insurance.

Sweden, with the largest social expenditure, is doing just fine. So is Denmark. And Germany, which is the up side of the pulling-apart euro, has a bigger welfare state than the GIPS.

Not that the facts will convince anyone on the right, but the blame-the-welfare-state meme is nonsense…


Should-Read: Mark Thoma (2009): “Can Economists Be Trusted?” “Are There Ever Any Wrong Answers in Economics?”: “Let’s ask another question. Does Greg Mankiw believe in the classical model he is using to defend Fama (in the classical model, the LM curve is vertical, and a vertical LM curve leads to a vertical supply curve, and to the result that demand side policies such as a change in government spending or taxes cannot change real output)?…

…I disagree … that the LM curve is vertical… Introspection is not a particularly reliable way to measure elasticities. There is a substantial empirical literature on money demand that demonstrates that it is interest-elastic…. According to Ball, the interest semi-elasticity of money demand is -0.05: This means that an increase in the interest rate of one percentage point, or 100 basis points, reduces the quantity of money demanded by 5 percent.

How far off is the vertical LM case as a practical matter? One way to answer this question is to look at the fiscal-policy multiplier. In chapter 11 of my intermediate macro text, I give the government-purchases multiplier from one mainstream econometric model. If the nominal interest rate is held constant, the multiplier is 1.93. If the money supply is held constant, the multiplier is 0.60. If the LM curve were completely vertical, the second number would be zero…

Greg has been pretty good at saying there is a lot of uncertainty about the fiscal policy multipliers, and about explaining why estimates differ across studies, and why he favors one set of estimates over another, so I don’t want to come down too hard on his disagreement with the 1.93 figure in his “favorite textbook”, but it does seem like he is defending Fama with a model that he does not believe in…


Should-Read: Paul Krugman (2010): The Instability of Moderation: “Brad DeLong writes of how our perception of history has changed in the wake of the Great Recession…

…We used to pity our grandfathers, who lacked both the knowledge and the compassion to fight the Great Depression effectively; now we see ourselves repeating all the old mistakes. I share his sentiments.

But watching the failure of policy over the past three years, I find myself believing, more and more, that this failure has deep roots–that we were in some sense doomed to go through this. Specifically, I now suspect that the kind of moderate economic policy regime Brad and I both support–a regime that by and large lets markets work, but in which the government is ready both to rein in excesses and fight slumps–is inherently unstable. It’s something that can last for a generation or so, but not much longer.

By “unstable” I don’t just mean Minsky-type financial instability, although that’s part of it. Equally crucial are the regime’s intellectual and political instability.

 

Intellectual instability: The brand of economics I use in my daily work–the brand that I still consider by far the most reasonable approach out there – was largely established by Paul Samuelson back in 1948, when he published the first edition of his classic textbook. It’s an approach that combines the grand tradition of microeconomics, with its emphasis on how the invisible hand leads to generally desirable outcomes, with Keynesian macroeconomics, which emphasizes the way the economy can develop magneto trouble, requiring policy intervention. In the Samuelsonian synthesis, one must count on the government to ensure more or less full employment; only once that can be taken as given do the usual virtues of free markets come to the fore.

It’s a deeply reasonable approach–but it’s also intellectually unstable. For it requires some strategic inconsistency in how you think about the economy. When you’re doing micro, you assume rational individuals and rapidly clearing markets; when you’re doing macro, frictions and ad hoc behavioral assumptions are essential.

So what? Inconsistency in the pursuit of useful guidance is no vice. The map is not the territory, and it’s OK to use different kinds of maps depending on what you’re trying to accomplish: if you’re driving, a road map suffices, if you’re going hiking, you really need a topo.

But economists were bound to push at the dividing line between micro and macro – which in practice has meant trying to make macro more like micro, basing more and more of it on optimization and market-clearing. And if the attempts to provide “microfoundations” fell short? Well, given human propensities, plus the law of diminishing disciples, it was probably inevitable that a substantial part of the economics profession would simply assume away the realities of the business cycle, because they didn’t fit the models.

The result was what I’ve called the Dark Age of macroeconomics, in which large numbers of economists literally knew nothing of the hard-won insights of the 30s and 40s–and, of course, went into spasms of rage when their ignorance was pointed out.

 

Political instability: It’s possible to be both a conservative and a Keynesian; after all, Keynes himself described his work as “moderately conservative in its implications.” But in practice, conservatives have always tended to view the assertion that government has any useful role in the economy as the thin edge of a socialist wedge. When William Buckley wrote God and Man at Yale, one of his key complaints was that the Yale faculty taught–horrors!–Keynesian economics.

I’ve always considered monetarism to be, in effect, an attempt to assuage conservative political prejudices without denying macroeconomic realities. What Friedman was saying was, in effect, yes, we need policy to stabilize the economy–but we can make that policy technical and largely mechanical, we can cordon it off from everything else. Just tell the central bank to stabilize M2, and aside from that, let freedom ring!

When monetarism failed–fighting words, but you know, it really did—it was replaced by the cult of the independent central bank. Put a bunch of bankerly men in charge of the monetary base, insulate them from political pressure, and let them deal with the business cycle; meanwhile, everything else can be conducted on free-market principles.

And this worked for a while–roughly speaking from 1985 to 2007, the era of the Great Moderation. It worked in part because the political insulation of central banks also gave them more than a bit of intellectual insulation, too. If we’re living in a Dark Age of macroeconomics, central banks have been its monasteries, hoarding and studying the ancient texts lost to the rest of the world. Even as the real business cycle people took over the professional journals, to the point where it became very hard to publish models in which monetary policy, let alone fiscal policy, matters, the research departments of the Fed system continued to study counter-cyclical policy in a relatively realistic way.

But this, too, was unstable. For one thing, there was bound to be a shock, sooner or later, too big for the central bankers to handle without help from broader fiscal policy. Also, sooner or later the barbarians were going to go after the monasteries too; and as the current furor over quantitative easing shows, the invading hordes have arrived.

 

Financial instability: Last but not least, the very success of central-bank-led stabilization, combined with financial deregulation – itself a by-product of the revival of free-market fundamentalism–set the stage for a crisis too big for the central bankers to handle. This is Minskyism: the long period of relative stability led to greater risk-taking, greater leverage, and, finally, a huge deleveraging shock. And Milton Friedman was wrong: in the face of a really big shock, which pushes the economy into a liquidity trap, the central bank can’t prevent a depression.

And by the time that big shock arrived, the descent into an intellectual Dark Age combined with the rejection of policy activism on political grounds had left us unable to agree on a wider response.

In the end, then, the era of the Samuelsonian synthesis was, I fear, doomed to come to a nasty end. And the result is the wreckage we see all around us…

#weekendreading #shouldread
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