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An empirical analysis of income dynamics among men in the PSID: 1968-1989

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  • John Geweke
  • Michael P. Keane

Abstract

This study uses data from the Panel Survey of Income Dynamics (PSID) to address a number of questions about life cycle earnings mobility. It develops a dynamic reduced form model of earnings and marital status that is nonstationary over the life cycle. The study reaches several firm conclusions about life cycle earnings mobility. Incorporating non-Gaussian shocks makes it possible to account for transitions between low and higher earnings states, a heretofore unresolved problem. The non-Gaussian distribution substantially increases the lifetime return to post-secondary education, and substantially reduces differences in lifetime wages attributable to race. In a given year, the majority of variance in earnings not accounted for by race, education and age is due to transitory shocks, but over a lifetime the majority is due to unobserved individual heterogeneity. Consequently, low earnings at early ages are strong predictors of low earnings later in life, even conditioning on observed individual characteristics.

Suggested Citation

  • John Geweke & Michael P. Keane, 1997. "An empirical analysis of income dynamics among men in the PSID: 1968-1989," Staff Report 233, Federal Reserve Bank of Minneapolis.
    • Handle: RePEc:fip:fedmsr:233
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    References listed on IDEAS

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    1. John Geweke, "undated". "Posterior Simulators in Econometrics," Computing in Economics and Finance 1996 _019, Society for Computational Economics.
    2. Lillard, Lee A & Willis, Robert J, 1978. "Dynamic Aspects of Earning Mobility," Econometrica, Econometric Society, vol. 46(5), pages 985-1012, September.
    3. Horowitz, J.L. & Markatou, M., 1993. "Semiparametric Estimation of Regression Models for Panel Data," Working Papers 93-14, University of Iowa, Department of Economics.
    4. Joel L. Horowitz & Marianthi Markatou, 1993. "Semiparametric Estimation Of Regression Models For Panel Data," Econometrics 9309001, University Library of Munich, Germany.
    5. W. R. Gilks & P. Wild, 1992. "Adaptive Rejection Sampling for Gibbs Sampling," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 41(2), pages 337-348, June.
    6. MaCurdy, Thomas E., 1982. "The use of time series processes to model the error structure of earnings in a longitudinal data analysis," Journal of Econometrics, Elsevier, vol. 18(1), pages 83-114, January.
    7. Gottschald, Peter T, 1982. "Earnings Mobility: Permanent Change or Transitory Fluctuations," The Review of Economics and Statistics, MIT Press, vol. 64(3), pages 450-456, August.
    8. Shorrocks, A F, 1976. "Income Mobility and the Markov Assumption," Economic Journal, Royal Economic Society, vol. 86(343), pages 566-578, September.
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    Cited by:

    1. Javier Álvarez, 1999. "Dynamics and Seasonality in Quarterly Panel Data: An Analysis of Earnings Mobility in Spain," Working Papers wp1999_9914, CEMFI.
    2. Maury Gittleman & Mary Joyce, 1999. "Have family income mobility patterns changed?," Demography, Springer;Population Association of America (PAA), vol. 36(3), pages 299-314, August.
    3. H. D. Vinod & B. D. McCullough, 1999. "The Numerical Reliability of Econometric Software," Journal of Economic Literature, American Economic Association, vol. 37(2), pages 633-665, June.
    4. Shane T. Jensen & Stephen H. Shore, 2008. "Changes in the Distribution of Income Volatility," Papers 0808.1090, arXiv.org.
    5. Tom Krebs, 2003. "Growth and Welfare Effects of Business Cycles in Economies with Idiosyncratic Human Capital Risk," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 6(4), pages 846-868, October.
    6. Sauer, Robert & Keane, Michael P., 2007. "A computationally practical simulation estimation algorithm for dynamic panel data models with unobserved endogenous state variables," Discussion Paper Series In Economics And Econometrics 0705, Economics Division, School of Social Sciences, University of Southampton.

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    Keywords

    Income distribution;

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