The Richmond Fed’s Take on Unemployment and Participation Rates
In their economic brief, “Comparing Labor Markets across Recessions: A Focus on the Age Composition of the Population,” Richmond Fed researchers Marianna Kudlyak, Devin Reilly, and Steven Slivinski find that controlling for the recent decline in teenagers’ participation rate produces an unemployment rate of 11.3%, a new post-war high, and that much of the decline in the overall participation rate has been driven by the increasing percentage of workers 55 and older. Things are what they are, and you have to be careful about making this kind of adjustment, but this is Fed research and we are taking it seriously.
Setting the stage, they find that although the 2008 contraction in output was comparable to those of the 1957 and 1973 recessions (the prior record-setters), the 7% decline in employment was more severe than any other post-WWII recession. The 2% decline in weekly hours in the 2008 recession was not as severe as 1969’s 3%, or 1973’s 2.1%, but aggregating hours worked with employment produces a 9% decline, far worse than 1948’s 5.7%, the previous record.
For their next comparison, they assume that the recovery began when Nonfarm Business Sector output turned positive, Q309 for the current recovery, and find that employment growth is lagging prior recoveries. Of the ten prior recoveries considered in the paper, employment continued to decline during the first two quarters of the recoveries following the 1957, 1960, 1991 and 2001 recessions, but percent declines were larger than the current decline (1.35%) only following the 2001 recession (1.8%) Positive note: Unlike the 2001 recession/recovery, weekly hours showed modest growth during the second quarter of the current recovery.
Noting that looking at labor indicators without adjusting for demographics, “may not be the best way to compare recessions,” they adjust for teenagers’ diminishing and the over-55 set’s growing share of the work-force. In 1982, when unemployment hit 10.7%, its post-war high, teenagers constituted 7.6% of the workforce; in 2009, their share had dropped to 4%. This may be a good thing in the long-run as there is anecdotal evidence suggesting that teens are staying in school longer, and it is definitely a good thing for the unemployment rate. Teens have a volatile and high rate of unemployment, so Kudlyak et al. adjust the current rate by holding the teenagers’ participation rate constant since 1982, resulting in the postwar high of 11.3% mentioned above. They go on to say that the larger share of older participants in the labor force “means the ‘natural’ unemployment rate is lower than it as in 1982,” and that Q309’s 10% is “likely further” from the natural rate than was 1982’s 10.7%.
They apply the same technique to the labor force participation rate to determine how much of the current decline is cyclical and how much structural. Total participation was 58.6% in 1948, rose to 67.3% in 2000, and has declined since, hitting 64.7% in January 2010, with half of the decline occurring since December 2007. In March 2000, workers 55 and older constituted 26.8% of the working-age population, compared to 30.3% currently. Reconstructing the series using the current age composition replaces the long downward trend shown in the official series with a more modest decline that does not begin until mid-2009 and so far has only reached the level of mid-2005. Reconstructing another series that keeps 1999 participation rates constant across age groups, they show that in 2005 the official rate actually rose above what would have been predicted by demographic changes, and has only recently fallen below, suggesting that much of decline since 2000 is structural.
Their conclusions are a bit contradictory: the high unemployment rate of this cycle is “much higher in relative terms,” than those of prior recessions, meaning there is a great deal of slack in the labor force but, since there has been less of a cyclical decline in the participation rate, there may not be as many workers outside the labor force ready to step in as the recovery continues as in prior cycles.
Economic Brief with a number of graphs here: http://www.richmondfed.org/publications/research/economic_brief/2010/pdf/eb_10-04.pdf
Philippa Dunne & Doug Henwood
Don’t make promises you can’t keep
Taking a page from Charles Kindleberger’s research on the increase in credit’s effect on asset prices, David O. Lucca, Taylor Nadauld, and Karen Shen, researchers at the New York Federal Reserve Bank, have posted a paper putting a price on what increased student loan availability has done to college tuition levels. (Link at foot of article.)
This is a careful paper: the authors lay out concerns about their methodology, stress areas where they see weakness, and balance the whole thing against the benefits to our workers and to our nation of an increase in the share of workers with college degrees. Nonetheless, it is a sobering piece of work that should force a number of deep questions, and, one hopes, policy changes.
In opening the discussion the authors note that much study has been devoted in recent years to the relationship between cheap credit and the 2002-6 housing bubble, and point out that although student loans fund a capital investment, whether delineated broadly as an educated work force, or on an individual level, while mortgages fund an asset, credit is crucial to both, and both enjoy the support of government-sponsored programs.
Federal student aid programs are governed by the 1965 Higher Education Act (HEA), which outlined 6 mandates, the fourth, Title IV, authorizing financial aid to support access to post-secondary education through the Federal Pell Grants program and the Federal Direct Loan Program. The researchers looked at three amendments to HEA: the increase in subsidized loan caps in 2007-8 school year; in unsubsidized caps in the 2008-9 school year, and the gradual increase in Pell Grants between 2207-8 and 2010-11 to link changes in tuition following increases access to loan and grant funding.
Although changes in caps theoretically apply to all institutions, the percentage of students who meet the requirement to gain access to those funds is not evenly distributed, and the students at program caps, say those with funding needs larger than the maximum loans available before cap increases, are the ones most likely to take the loans. As of 2012, about 60% of post-secondary students attended four-year public universities, 29% not-for-private private liberal art colleges and research universities, and 11%, Title IV “less-than-two-year” for-profit outfits, largely vocation and specializing in technology, business, photography, and fashion, including cosmetology and hair styling. That last 11% receives more than 77% of their funding through Title IV, with the largest share of near-the-cap students.
Between 2001 and 2012 yearly student-loan initiations increased from $53 billion to $120 billion, and in recent years 90% of those initiations came through federal student aid programs. Over the same stretch, the average tuition “sticker” price in constant 2012 dollars rose from $6,950 to $10,200, or 46%. (The authors focus on sticker rather than net tuition because it is more readily available, and because of the effects of institutional grants and the like.)
The authors found, not surprisingly, that the institutions with most aid exposure before the cap increases underwent “disproportionate” increases in tuition around those changes. For subsidized loans the authors found that 70 cents of each newly available dollar was captured as a tuition increase, and that approximately 55 cents of each Pell Grant dollar was so captured. Highest pass-throughs took place in the more expensive four-year private institutions with “relatively high-income students but average selectivity.”
Regarding this they conclude:
But it was good for the stock market. On the for-profit front Lucca et al. found evidence of “large abnormal stock market responses for a portfolio of all publicly traded for-profit institutions,” following the passage of the aid increases that summed up to 10% across the segments. They also found that the average increase in the sticker price in these outfits averaged $180, but averaged $56 in the not-for-profit colleges and universities.
Here’s some food for thought via a severe example of tax dollars gone astray. Surely some of the for-profit outfits meet their stated goals, but Corinthian Colleges Inc. (CCI), the largest such for-profit network, was not among them. In April 2015, under Federal criminal investigation, Corinthian closed down its operations, and filed for bankruptcy in May. Charges include misleading students on their career options and Corinthian’s ability to place them following graduation, the graduation rates themselves, and loan issues. California Attorney General alleges CCI targeted single parents close to the poverty level via aggressive marketing. So that’s one place our tax dollars earmarked to increase access to post-secondary education have been. Note to for-profit educators: Don’t make promises you can’t keep.
But we can end on an encouraging note. As is often the case, the action is at the margin. In working to ascertain whether student debt expansion increased access to post-secondary education over the short-haul, the NY Fed researchers found that only the availability of Pell grants increases access. These grants go directly to low-income students, who are most likely to be on the enrollment margin. And although they also push up tuition, they do so at a lower rate than the loan-based increases.
If we’re serious about increasing access to college for those who want to attend, we’d be wise to funnel funds into grant programs that advance that goal, and to do so at the expense of outfits like CCI.
Credit Supply and the Rise in College Tuition: Evidence from the Expansion in Federal Student Aid Programs