Must-Reads: September 12, 2016


Should Reads:

How intensely are U.S. employers looking for workers?

A “Now Hiring” sign hangs in the window of a Dollar General store in Methuen, Mass.

When someone somewhere in the United States gets a new job, friends and family will congratulate them on finishing a job search. But the hunt to get new employees matched to open jobs doesn’t just happen on the worker side. As anyone who’s tried to fill open positions knows, employers don’t just sit around waiting for workers’ resumes to show up in their inboxes. Employers for the most part actively try to recruit potential employees. But what determines how hard employers search?

Research indicates that the overall health of the U.S. labor market plays a major role in determining how hard employers recruit for open positions. The role of recruiting in hiring is immediately relevant to the seeming disconnect today between the number of job openings and number of hires in the U.S. economy. Every month with the release of new Job Openings and Labor Turnover Survey data, concerns about a skills-mismatch get aired because job openings (a signal of desire to hire) continues to outpace actual hiring. This mismatch, however, assumes that all job openings are necessarily a sign that an employer wants to hire and fill that position right away. Employer’s recruitment efforts, as Ben Casselman point outs, matter as well.

Research into job search and hiring that looks at the process from the point of view of employers—the side less studied by economists—emphasizes the importance of recruitment intensity, or how much employers are doing to fill that position right now. Intensity can be measured by looking at how much firms are spending on help-wanted ads, how quickly employers look through applications, and the level of pay and benefits employers are offering. The index displayed below was developed by economists Steven J. Davis of the University of Chicago, Jason Faberman of the Federal Reserve Bank of Chicago, and John Haltiwanger of the University of Maryland. (See Figure 1.)

Figure 1

A quick look at graph suggests that recruitment intensity might have something to do with the overall health of the labor market. Intensity drops during recessions and starts to move upward as the economy heals. Research backs up this intuition. A recent paper by economists Alessandro Gavazza of the London School of Economics, and Simon Mongey and Giovanni L. Violante of New York University builds a model to understand fluctuations in recruiting intensity.

The results from the model show that the biggest factor is that employers reduce their recruitment efforts when the labor market gets weaker, measured specifically by the ratio of unemployed workers to open jobs. Think of it this way: If there are a lot more unemployed workers per job than companies are trying to fill then firms don’t have to work that hard to find good talent. But as the labor market improves, employers have to work harder to fill positions.

This increasing desire to recruit workers amid improving economic conditions also leads to companies poaching workers from other firms. Hiring workers from other firms is how the job ladder works, as workers move from one firm to another and see their wages increase as companies seek the best talent available. It’s another way to think about how a tight labor market and why periods of full employment can boost wage growth for workers. Making employers put a little bit more effort into finding workers might not be a bad thing.

Must-Read: Dietrich Domanski et al.: Wealth Inequality and Monetary Policy

Must Read: Note the difference between wealth inequality and income inequality. Lowering interest rates raises wealth inequality (by boosting the value of old capital) and lowers income inequality (by reducing the rate of return earned on new capital). Cf: John Maynard Keynes, “euthanasia of the rentier*…

Dietrich Domanski et al.: Wealth Inequality and Monetary Policy:

Explor[ing] the recent evolution of household wealth inequality in advanced economies by looking at valuation effects on household assets and liabilities….

Using household survey data, we analyse the possible drivers of wealth inequality and the potential effect of monetary policy through its impact on interest rates and asset prices. Our simulation suggests that wealth inequality has risen since the Great Financial Crisis. While low interest rates and rising bond prices have had a negligible impact on wealth inequality, rising equity prices have been a key driver of inequality. A recovery in house prices has only partly offset this effect. Abstracting from general equilibrium effects on savings, borrowing and human wealth, this suggests that monetary policy may have added to inequality to the extent that it has boosted equity prices.

Must-Read: William Grieder (1981): The Education of David Stockman

Must-Read: My late friend Susan Rasky was, in general, annoyed at William Grieder.

You see, she was covering Stockman and the budget in the New York Times in 1981. She was trying to tell as it happened the same story about David Stockman and his budget that William Grieder was going to tell in the Atlantic Monthly piece he published at the very end of the year.

But, she told me, she got substantial pushback from her New York Times editors, which hobbled her. Why? In part because the Washington Post reporters–being supervised by Grieder–were telling a very different story. And her editors said that if she were right the Post would be on board as well. Grieder, she thought, might not only have been keeping his own material from the reporters he supervised, but also may have been steering the reporters he supervised away from the real story–he certainly wasn’t dropping them any hints, and wasn’t doing them any favors as they tried to cover a complex situation–the real story that Grieder was saving for the Atlantic, and that Rasky was trying to tell as it was happening:

William Grieder (1981): The Education of David Stockman:

As budget director, [Stockman] intended to proceed against many of the programs…

…that fed money to the poor blacks of Benton Harbor, morally confident because he knew from personal observation that the federal revitalization money did not deliver what such programs promised. But he would also go after the Economic Development Administration (EDA) grants for the comfortable towns and the Farmers Home Administration loans for communities that could pay for their own sewers and the subsidized credit for farmers and business–the federal guarantees for economic interests that ought to take their own risks. He was confident of his theory, because, in terms of the Michigan countryside where he grew up, he saw it as equitable and fundamentally moral:

We are interested in curtailing weak claims rather than weak clients. The fear of the liberal remnant is that we will only attack weak clients. We have to show that we are willing to attack powerful clients with weak claims. I think that’s critical to our success—both political and economic success….

No President had balanced the budget in the past twelve years. Still, Stockman thought it could be done, by 1984, if the Reagan Administration adhered to the principle of equity, cutting weak claims, not merely weak clients, and if it shocked the system sufficiently to create a new political climate. He still believed that it was not a question of numbers. “It boils down to a political question, not of budget policy or economic policy, but whether we can change the habits of the political system.”…

This process of trading, vote by vote, injured Stockman in more profound ways, beyond the care or cautions of his fellow politicians. It was undermining his original moral premise—the idea that honest free-market conservatism could unshackle the government from the costly claims of interest-group politics in a way that was fair to both the weak and the strong. To reject weak claims from powerful clients–that was the intellectual credo that allowed him to hack away so confidently at wasteful social programs, believing that he was being equally tough-minded on the wasteful business subsidies. Now, as the final balance was being struck, he was forced to concede in private that the claim of equity in shrinking the government was significantly compromised if not obliterated…

Must-Read: Milton Friedman (1976): Inflation and Unemployment

Must-Read: An answer to a question from Robert Waldmann. Milton Friedman rejects rational expectations, seeing instead “quinquennia or decades” before “the public… [will have] adapted its attitudes or its institutions to a new monetary environment…”:

Milton Friedman (1976): Inflation and Unemployment:

A major factor in some countries and a contributing factor in others may be that they are in a transitional period…

…this time to be measured by quinquennia or decades not years. The public has not adapted its attitudes or its institutions to a new monetary environment. Inflation tends not only to be higher but also increasingly volatile and to be accompanied by widening government intervention into the setting of prices. The growing volatility of inflation and the growing departure of relative prices from the values that market forces alone would set combine to render the economic system less efficient, to introduce frictions in all markets, and, very likely, to raise the recorded rate of unemployment. On this analysis, the present situation cannot last. It will either degenerate into hyperinflation and radical change; or institutions will adjust to a situation of chronic inflation; or governments will adopt policies that will produce a low rate of inflation and less government intervention into the fixing of prices…

Must-Read: Paul Krugman: Tobin Was Right

Must-Read: In retrospect, Robert Lucas’s solutions to the modeling problems left over from Milton Friedman and James Tobin–closing the model via specifying expectations, accounting for apparent wage and price inertia, and specifying the big business-cycle impulses–were, as Milton Friedman did warn, all intellectual value-subtracting. The three intellectual bets of requiring rational expectations first and above all, requiring market clearing second, and putting the Solow TFP residual on the right-hand side as a primitive third all force you into models that fail to fit the data and lack any true and useful implications:

Paul Krugman: Tobin Was Right:

Tobin’s 1972 presidential address to the American Economic Association…

That address was seen among my fellow grad students… as Tobin’s last stand, a desperate rearguard action in the debate with Milton Friedman over the natural rate hypothesis. And everyone knew that Friedman won that debate, vindicated by stagflation. Except if you read Tobin again now, he’s the one who looks vindicated…. The long-run Phillips curve… isn’t vertical at low inflation… downward nominal wage rigidity combined with churn… the framework [of] Daly and Hobijn… [and] Akerlof and Perry… the need to avoid

the empirically questionable implication of the usual natural rate hypothesis that unemployment rates only slightly higher than the critical rate will trigger ever-accelerating deflation….

Sure enough, the return of mass unemployment after 2008 didn’t produce much in the way of wage decline, except, finally, after years of Depression-level unemployment in Greece. When talking about the things an earlier generation got more right than all too many modern macroeconomists, I usually focus on the demand side… IS-LM…. But on the aggregate supply side, too, the oldies were goodies.

Must-Read: Mark Thoma: Diverting Attention From the Real Issues

Must-Read: The estimable Mark Thoma tries, once again, to raise the level of the debate back toward reality. Everything he says is true:

Mark Thoma: Diverting Attention From the Real Issues:

Immigration is not the problem…. Immigrants do not lower the employment prospects for natives…

Short-run… adjustment costs [do] fall mainly on people with less than a high school education. But in the long-run, the employment prospects for Americans are enhanced by… immigrants…. Immigrants [do] lower wages for… previous immigrants, the people that newcomers are most likely to compete with for jobs. For everyone else the impact… is positive…. Low and high-paying jobs are complements….

Immigrants [do not] create an undue burden for social programs…. Both documented and undocumented workers… pay income, Social Security, sales, Medicare taxes, and so on. Undocumented immigrants are not allowed to participate in Medicaid, food stamps, welfare, CHIP, or SSI programs, and legal permanent residents must contribute to Social Security and Medicare for at least 10 years before they are eligible for benefits (the wait is five years on many other programs)…. “Communities with high concentrations of immigrants do not suffer from outsized levels of violence…. Violent crime tended to decrease when the population of foreign-born residents rose.” Study after study debunks the claim that immigrants commit crimes at a higher rate than natives….

If immigration isn’t the problem, then what is?… Globalization, technological change, and lack of bargaining power in wage negotiations…. We have two choices. We can close our doors to international trade… blame immigrants… ignore the impact that technological change has had on worker’s economic security, and do nothing to enhance worker’s ability to claim a fair share of the output they produce. Alternatively, we can move toward Bernie Sanders’s type of social insurance and redistribution to ensure that the gains from immigration, trade, and technological change are widely shared…

Must-Reads: September 9, 2016


Should Reads:

Must-Read: Kaila Colbin: The Real Reason This Elephant Chart Is Terrifying

Must-Read: Kaila Colbin: The Real Reason This Elephant Chart Is Terrifying:

The real reason this elephant chart is terrifying NewCo Shift

A shock-and-awe wake-up call about the nature of exponentially accelerating technology…

…I show the crowd a recent headline: Apple’s Foxconn factory in China just fired 60,000 people and replaced them with robots…. We’ve heard it for more than a century: “Factory workers replaced by automation.” Not so much the next headline: “Artificially intelligent lawyer, Ross, hired by law firm.” Or the following one: “Artificially intelligent chatbot successfully contests 160,000 parking tickets in London and New York.” Or the following: “Artificially intelligent teaching assistant helps students online for an entire semester and nobody noticed.”…

Let’s start with the tip of the trunk. This is the global 1%, and they’re doing pretty well…. The top of the elephant’s head, around the 50–60th percentiles, is also a happy story. Those are the jobs created by the industrialization of China and India…. These folks are[n’t] getting rich. As Milanovic points out:

Chinese and Indian GDP per capita has increased by 5.6 and 2.3 times, respectively, over the period… [but the] people around the global median are, however, still relatively poor by Western standards. This emerging ‘global middle class’ is composed of individuals with household per capita incomes of between 5 and 15 international dollars per day….

Where the trunk dips. The 75–90th percentiles. Those are basically poor people in rich countries…. The fact that GDP in the US, for example, went up over the 20-year period in the elephant graph doesn’t mean that wages went up, or that workers are better off. They did not, and they are not. This is the hollowing out of the American middle class….

The thing that is increasing exponentially is the price-performance of technology…. Machine learning has now gotten so good a robot can do your job, Ms. Knowledge Worker. But the Foxconn headline? The 60,000 workers replaced by robots? That’s the price side of the price-performance equation, and it’s a lot scarier. Technology has gotten so cheap that it is now more economically viable to buy robots than it is to pay people $5 a day. And technology only gets cheaper over time….

Yes, we have 200 years of headlines saying the robots were going to take our jobs. Yes, historically new technologies have created more jobs than they’ve done away with. Yes, we have no idea what kind of creativity will be unleashed when 3 billion new minds come online in the next five years. But we have a rocky road ahead. It is not a simple transition to go from assembling iPhones to starting your own micro-enterprise…