Citations (2)



The Nature of Countercyclical Income Risk

Fatih Guvenen

University of Minnesota - Department of Economics; National Bureau of Economic Research (NBER)

Serdar Ozkan

University of Toronto

Jae Song

U.S. Social Security Administration

September 18, 2013

This paper studies the nature of business cycle variation in individual earnings risk using a unique and confidential dataset from the U.S. Social Security Administration, which contains (uncapped) earnings histories for millions of individuals. The base sample is a nationally representative panel containing 10 percent of all U.S. males from 1978 to 2011. We use these data to decompose individual earnings growth during recessions into “between-group” and “within-group” components. We begin with the behavior of within-group (idiosyncratic) shocks. Contrary to past research, we do not find the variance of idiosyncratic earnings shocks to be countercyclical. Instead, it is the left-skewness of shocks that is strongly countercyclical. That is, during recessions, the upper end of the shock distribution collapses --- large upward earnings movements become less likely --- whereas the bottom end expands --- large drops in earnings become more likely. Thus, while the dispersion of shocks does not increase, shocks become more left skewed and, hence, risky during recessions. Second, to study between-group differences, we group individuals based on several observable characteristics at the time a recession hits. One of these characteristics --- the average earnings of an individual at the beginning of a business cycle episode --- proves to be a good predictor of fortunes during a recession: prime-age workers that enter a recession with high average earnings suffer substantially less compared with those who enter with low average earnings (which is not the case during expansions). Finally, we find that the cyclical nature of earnings risk is dramatically different for the top 1 percent compared with all other individuals --- even relative to those in the top 2 to 5 percent.

Number of Pages in PDF File: 73

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Date posted: April 27, 2012 ; Last revised: September 19, 2013

Suggested Citation

Guvenen, Fatih and Ozkan, Serdar and Song, Jae, The Nature of Countercyclical Income Risk (September 18, 2013). Available at SSRN: http://ssrn.com/abstract=2046642 or http://dx.doi.org/10.2139/ssrn.2046642

Contact Information

Fatih Guvenen (Contact Author)
University of Minnesota - Department of Economics ( email )
Minneapolis, MN 55455
United States
National Bureau of Economic Research (NBER) ( email )
1050 Massachusetts Avenue
Cambridge, MA 02138
United States
Serdar Ozkan
University of Toronto ( email )
Department of Statistical Sciences
Toronto, Ontario M5S 3G8
Jae Song
U.S. Social Security Administration ( email )
Washington, DC 20254
United States
202-358-6403 (Phone)
202-358-6192 (Fax)
Feedback to SSRN

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