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Bias in Longitudinal Estimation of Wage Gaps

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  • Gary Solon

Abstract

Cross-sectional regression analyses of wage gaps may be biased by omission of unobserved worker characteristics. Recent studies therefore have used longitudinal data to "difference out" the effects of such variables. This paper. however. shows that self-selection of job changers may cause longitudinal estimation of wage gaps to be inconsistent.

Suggested Citation

  • Gary Solon, 1986. "Bias in Longitudinal Estimation of Wage Gaps," NBER Technical Working Papers 0058, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberte:0058
    Note: LS
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    Cited by:

    1. Daniel S. Hamermesh, 1987. "Why Do Fixed-Effects Models Perform So Poorly? The Case of Academic Salaries," NBER Working Papers 2135, National Bureau of Economic Research, Inc.
    2. Thomas Kniesner & W. Viscusi & James Ziliak, 2014. "Willingness to accept equals willingness to pay for labor market estimates of the value of a statistical life," Journal of Risk and Uncertainty, Springer, vol. 48(3), pages 187-205, June.
    3. Thomas J. Kniesner & W. Kip Viscusi & Christopher Woock & James P. Ziliak, 2012. "The Value of a Statistical Life: Evidence from Panel Data," The Review of Economics and Statistics, MIT Press, vol. 94(1), pages 74-87, February.
    4. Thomas J. Kniesner & W. Kip Viscusi & Christopher Woock & James P. Ziliak, 2006. "Pinning Down the Value of Statistical Life," Center for Policy Research Working Papers 85, Center for Policy Research, Maxwell School, Syracuse University.

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