Creator: Guvenen, Fatih, Karahan, Fatih, Ozkan, Serdar, and Song, Jae Series: Working paper (Federal Reserve Bank of Minneapolis. Research Department) Number: 719 Abstract:
We study the evolution of individual labor earnings over the life cycle using a large panel data set of earnings histories drawn from U.S. administrative records. Using fully nonparametric methods, our analysis reaches two broad conclusions. First, earnings shocks display substantial deviations from lognormality–the standard assumption in the incomplete markets literature. In particular, earnings shocks display strong negative skewness and extremely high kurtosis–as high as 30 compared with 3 for a Gaussian distribution. The high kurtosis implies that in a given year, most individuals experience very small earnings shocks, and a small but non-negligible number experience very large shocks. Second, these statistical properties vary significantly both over the life cycle and with the earnings level of individuals. We also estimate impulse response functions of earnings shocks and find important asymmetries: positive shocks to high-income individuals are quite transitory, whereas negative shocks are very persistent; the opposite is true for low-income individuals. Finally, we use these rich sets of moments to estimate econometric processes with increasing generality to capture these salient features of earnings dynamics.
Keyword: Earnings dynamics, Nonparametric estimation, Life-cycle earnings risk, Kurtosis, Non-Guassian shocks, Normal mixture, and Skewness Subject (JEL): J24 - Human Capital; Skills; Occupational Choice; Labor Productivity, J31 - Wage Level and Structure; Wage Differentials, and E24 - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity