JOLTs update

The Bureau of Labor Statistic's March 11 release of the Job Openings and Labor Turnover Survey (JOLTS) data for January showed a distinct lack of dynamism in the labor market: the level of hires and separations, expressed as a share of employment matched record lows for the series (which goes back to December 2000). 

JOLTS

Net hiring – hires less separations – was just 0.1% of employment. Turnover – hires plus separations – was just 5.5% of employment, a record low for the series. Openings fell to 2.1% of employment (from 2.2%). That's better than the 2009 average of 1.8%, but matches the 2010 average. The numbers for the private sector were similarly tepid. January was not a sizzling month for employment.

Also, the relationship between job openings and unemployment, which had gotten out of whack, has gotten somewhat back into whack. Based on the historical relationship, unemployment in December "should" have been 7.7%, not its actual 9.4%. That gap narrowed substantially in January; the expected unemployment rate was 8.0%, vs. the actual of 9.0%. There were 5.02 unemployed persons per job opening in January, compared with 4.96 in December – and a 2002-2007 average of 2.03.

Flows out of unemployment—and out of the labor force

Many analysts have been scratching their heads over the combination of a sharp drop in unemployment over the last few months alongside rather tepid job growth. The discrepancy is partially caused by the two different surveys from which the numbers are derived, surveys that often march to their own drummer in the short term. The BLS’s data on job flows offers additional clues.

Graphed below are some histories based on the flows numbers. The top graph shows where the formerly employed go from one month to the next. Between December 2010 and January 2011, 1.5% of the employed became unemployed, and 2.6% of the employed dropped out of the labor force. (There was a break in all the household survey numbers, because of the annual adjustments to the population controls, but the effect on these flows numbers looks to be very small.) The three-month moving averages of those two series are 1.7% and 2.7% respectively. The share becoming unemployed has been drifting lower since early 2009, but still remains rather high; the share leaving the labor force is up over the last few months, but isn’t out of line with historical averages.

Job-flows-800wi

The bottom graph is striking, however. The share of the unemployed finding work is very close to the recently set all-time low, and has barely improved over the last year. The share of the unemployed dropping out of the labor force, however, has been rising for more than a year, and now has exceeded those finding work for two years.

When you make a point like this, some skeptics are quick to blame excessively generous unemployment benefits and a labor force unfit for today’s demanding employers rather than a still-sick macroeconomy, suggesting that there’s less slack in the labor market than might appear at first glance.

There’s not much evidence for that. As newly minted San Francisco Fed president John Williams pointed out in a recent speech, the “natural” rate of unemployment—the one below which inflationary pressures rise—has probably risen from 5.0% before the financial crisis to 6.7% now. About half the increase is the result of extended unemployment insurance benefits (which will wane soon enough). The balance is the result of severe shocks that have hit the labor market, notably in the construction sector. Williams and his staff estimate that these increases in the natural rate are temporary, and likely to dissipate over the next few years. In any case, the unemployment rate is still considerably above 6.7%, and likely to stay there for quite a while. (Full text here: http://www.frbsf.org/economics/speeches/2011/john_williams0222.php)

 

SF Fed paper argues against mismatch

In the November 8 issue of the San Francisco Fed’s Economic Letter, Rob Valletta and Katherine Kuang look at the regional and sectoral behavior of employment and find little evidence for the mismatch employment thesis currently making the rounds. If there were a serious mismatch problem, you’d expect to find major disparities in employment across geography and industry: healthy regions or sectors would show shortages of workers, and sickly ones would show surpluses. But in fact you don’t see that: regional and sectoral variation is little different now from past cycles. Valletta and Kuang conclude that the major reason for persistently high unemployment is cyclical and not structural.

The San Francisco Fed study looks at Beveridge curves. Beveridge curves plot unemployment against job vacancies. In general, the more vacancies there are, the lower the rate of unemployment. Minneapolis Fed President Narayana Kochlerlakota’s argument, outlined in a speech he made over the summer, depended heavily on the idea that the Beveridge curve suggests that the unemployment rate should be about 1.5–2.0 points below where it is, which is what leads him to the mismatch conclusion. His curve, though, was based entirely on only the most recent decade’s data.

But there’s nothing at all stable about this relationship over time. The Valletta–Kuang paper includes a graph showing how much the Beveridge curve has wiggled around over the decades. For example, Valetta and Kuang point out that the curve shifted about 4 points to the right between 1960 and the early 1980s before shifting back about 2.5 points by 1989, and that the variation in the NAIRU during that period was considerably smaller than the movement in the curve would suggest. We thought this worth a closer look.

Unfortunately, the JOLTS data only begins in 2000. Most earlier work on the unemployment–vacancy relationship used the Conference Board’s old Help Wanted (HW) index as a proxy for openings. In an earlier paper, Valletta used the period of overlap between the HW series and the JOLTS data to estimate a consistent vacancy rate series going back to 1960. He graciously shared that with us.

In the graph below you will see a set of Beveridge curves by decade—they show that a major cause of the noisiness in the long-term relation is that the vacancy–unemployment connection shifts over time. The r2’s for the decade regressions are a lot better than for the whole series, with most in the high 0.80s/low 0.90s. But there are also some noisy decades: the r2 for the 1970s is just 0.39. The 1980s aren’t so great either, with an r2 of 0.77.

Beveridge-curves-Dec-2

The labor market is usually thought to be functioning better the further down and to the left (i.e., closer to the origin) the Beveridge curve is on the graph. The further out the curve is, the more friction, like regional or sectoral mismatches. The graph for the 2000s (which is based on data through June 2009, when the relationship prevailing earlier in the decade started breaking down) shows a much better-functioning labor market than in earlier decades, especially the 1980s.

Until, that is, we get to recent history, as shown by the dot marking the data for November 2010. It’s about two unemployment points to the right of where the curve suggests it “should” be. But it’s actually lower than the 1980s curve would predict, and not that much higher than the 1970s curve. And those were decades of major structural change in the U.S. economy—periods of major financial and real sector shocks, far more severe than those of the following two decades.

So the recent breakdown in the Beveridge curve looks to us more like a reflection of a major financial and psychological shock (one that has left employers extremely shy about hiring) than some fresh mismatch in the U.S. labor market. The fresh mismatch theory seems especially odd in light of the fact that things seemed to be functioning so well (meaning the Beveridge curve was close to the origin) for so much of the decade until the economy fell apart. The novelty is the having fallen apart, not some recent change in the labor force.

Mismatching the facts

In a speech delivered on August 17, Minneapolis Fed president Narayana Kocherlakota claimed that there’s been a major breakdown between the relationship between the unemployment rate and the number of job vacancies reported in the BLS’s Job Openings and Labor Turnover Survey (JOLTS). According to Kocherlakota, the breakdown began in mid-2008 as the unemployment rate rose more rapidly than the JOLTS openings data suggest—a breakdown that intensified in mid-2009, as the unemployment rate continued to rise and then failed to decline significantly as the number of openings rose by nearly 20%. Kocherlakota explains this by asserting that there’s a mismatch between the skills, geography, and demography of available workers and unfilled openings. And that’s not anything that monetary policy can change: “the Fed does not have a means to transform construction workers into manufacturing workers.”

There are many things wrong with Kocherlakota’s argument. While he’s right that a regression that forecasts unemployment based on the JOLTS openings rate says that the jobless rate should have been 7.7% in June, not 9.5%, the number of unemployed fell by over a quarter-million more than the number of openings rose during the first half of 2010.

Despite that, there are still almost 5 unemployed for every opening—down from over 6 at the end of 2009, but still enormously high. Also, as the graphs below show, the major problem with the labor market is that the recession was harsh and the recovery so far has been weak. The gap between GDP growth and employment growth, though wider than it was in the recessions of the early 1990s and early 2000s, isn’t out of line with earlier downturns, like those of the early 1980s, mid-1970s, and the 1950s. Since the JOLTS data that Kocherlakota bases his mismatch thesis on only begins in December 2000, he’s missing a lot of important history.

  GDP-and-E

And, the share of permanent job losers, as opposed to those on temporary layoff, hit a record high in over 40 years of data at the end of 2009, and has come down only slightly since. By contrast, the share on temporary layoff is at a record low. Clearly, that composition makes re-employment a lot harder.

In a paper prepared for a Brookings Institution panel in March, Michael Elsby, Bart Hobijn, and Aysegul Sahin review the grim pathologies of the labor market in the Great Recession. In almost every aspect, the downturn was the worst since the 1930s. Among their specific points:

  • While inflows into unemployment in the early part of the recession were dominated by the weaker demographics—the young, the less educated, the nonwhite—the rate of exit has been broadly similar for all subgroups.
  • Since the workforce is now older than it was in earlier recessions, the rise in the unemployment rate is actually sharper than it appears, since older workers are less likely to be disemployed than younger ones. Adjusting historical unemployment figures for the labor force’s changing age composition shows that this recession’s unemployment rate is a record by a significant margin.
  • Specifically addressing the mismatch argument, Elsby et al. find that instead of finding a divergence in outflows from unemployment between industries in structural decline and those not in decline, the rates of sectoral outflow have converged. (Outflow rates in the financial, durable goods and information sectors were all lagging the total when Elsby et al. published.) As with demographics, then, the problem is largely an aggregate one.
  • The dominance of long-term unemployment among the jobless in this cycle is disturbing, since the longer people are unemployed, the less likely they are to find new employment. Based on historical relations, Elsby & Co. project that the decline in unemployment could be half as rapid as it was in the mid-1980s. (Of course, if GDP growth remains weak, then that recovery would be even slower.)
  • Another factor likely to contribute to a slow decline in the unemployment rate: the high share of the employed working part-time for economic reasons. In July, they were 6.0% of the total employed, well over two standard deviations above the series’ 55-year average, and not far below last December’s record of 6.6%. And it’s likely that they’ll find full-time work before the currently unemployed do.
  • Some analysts have pointed to the extension of unemployment benefits over the last couple of years as keeping the jobless rate higher than it would otherwise be. Based on other studies, Elsby et al. estimate that emergency benefits have contributed between 0.7 and 1.8 points of the 5.5 point rise in unemployment in the recession, with the lower end far more likely than the upper. (One reason: the statistical estimates are largely based on periods when temporary layoffs rather than permanent losses were more common.)
  • Finally, the JOLTS data show that the quit rate was remarkably low during the recent recession. It’s picked up a bit since but remains lower than at any time before late 2008. This suggests that employed workers, who presumably have the qualifications that employers desire, remain remarkably skeptical about the possibility of finding fresh work. If it were easier than it looks for the qualified to find a job—as the mismatch theory suggests—then the quit rate would be higher.

Where we are?

Here’s an updated guide to “where we are”—how the U.S. economy is faring relative to the average of previous financial crises around the world. Though individual details vary, we’re following the script pretty well.

In the graphs of four major indicators that below, the lines marked “average” are the averages of fifteen financial crises in thirteen rich countries since the early 1970s, as identified by the IMF. GDP isn’t shown because the experiences were so varied that the averages were meaningless. But for the indicators shown, the averages do illustrate some tendencies worth taking seriously.

Where-we-are-8-10-2-720
 

Employment
Though the U.S. peaked later and bottomed earlier than the average, and also rose higher and fell harder, the trajectories of the two lines are still remarkably similar. Note that after hitting bottom, employment in the average experience grew very slowly. If we’re in for anything like that average, then we’re likely to see employment growth of only about 35,000 a month over the next year—less than a third what’s necessary just to accommodate population growth. That suggests that we could see an unemployment north of 10% in about a year.

CPI
Given the gyrations in energy prices over the last couple of years, reading the headline CPI has been very difficult. But the gyration does seem to be around the average line. And core CPI—for which we don’t have international data—is tracking the average pretty tightly. If inflation follows the script, it should continue to decline into next year. With core inflation at around 1%, it’s reasonable to expect that we could go into mild deflation sometime over the next few quarters.

Interest Rates
Rates on 10-year Treasury bonds have fallen harder in the U.S. than in other crisis-afflicted countries, but the trend is typically down for almost four years after the onset of crisis. Further declines in U.S. rates seem like a stretch, but the likelihood of an upward spike looks remote.

Stocks
Stocks fell much harder in the U.S. than they did in the wake of the average financial crisis, though they did enjoy five quarters of nice recovery. As with interest rates, further declines seem unlikely; in fact, the average increase from here would be around 7% over the next year.

So, all in all, we’re getting pretty much what we might expect out of our major economic and financial variables: a weak, choppy recovery with a deflationary undertow.