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Interfirm Mobility, Wages, and the Returns to Seniority and Experience in the U.S

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Author Info

  • Moshe Buchinsky

    ()
    (UCLA, CREST-INSEE and NBER)

  • Denis Fougère

    ()
    (CNRS, CREST-INSEE, CEPR and IZA)

  • Francis Kramarz

    ()
    (CREST-INSEE, CEPR and IZA)

  • Rusty Tchernis

    ()
    (Indiana University Bloomington)

Abstract

In this paper, we follow on the seminal work of Altonji and Shakotko (1987) and Topel (1991) and reinvestigate the returns to seniority in the U.S. These papers specify a wage function, in which workers’ wages can change through two channels: (a) returns to their seniority; and (b) returns to their labor market experience. We start from the same wage equation as in previous studies, and, following our theoretical model, we explicitly include a participation-employment equation and an interfirm mobility equation. The employment and mobility decisions define the individual’s experience and seniority. Because experience and seniority are fully endogenized, we introduce into the wage equation a summary of the workers’ entire career and past jobs. The three-equation system is estimated simultaneously using the Panel Study of Income Dynamics (PSID). For all three education groups that we study, returns to seniority are quite high, even higher than what was previously obtained by Topel. On the other hand, the returns to experience appear to be similar to those previously found in the literature.

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Bibliographic Info

Paper provided by Center for Applied Economics and Policy Research, Economics Department, Indiana University Bloomington in its series Caepr Working Papers with number 2008-006.

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Length: 63 pages
Date of creation: Apr 2008
Date of revision:
Handle: RePEc:inu:caeprp:2008-006

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Keywords: wage mobility; interfirm mobility; returns to seniority; panel data; Markov Chain; Monte Carlo methods;

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References

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  2. Chib, Siddhartha & Greenberg, Edward, 1996. "Markov Chain Monte Carlo Simulation Methods in Econometrics," Econometric Theory, Cambridge University Press, vol. 12(03), pages 409-431, August.
  3. Parent, D., 1995. "Wages and Mobility: the Impact of Employer-Provided Training," Cahiers de recherche 9507, Universite de Montreal, Departement de sciences economiques.
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  17. Chib, Siddhartha & Hamilton, Barton H., 2002. "Semiparametric Bayes analysis of longitudinal data treatment models," Journal of Econometrics, Elsevier, vol. 110(1), pages 67-89, September.
  18. Topel, Robert H, 1991. "Specific Capital, Mobility, and Wages: Wages Rise with Job Seniority," Journal of Political Economy, University of Chicago Press, vol. 99(1), pages 145-76, February.
  19. Dean R. Hyslop, 1999. "State Dependence, Serial Correlation and Heterogeneity in Intertemporal Labor Force Participation of Married Women," Econometrica, Econometric Society, vol. 67(6), pages 1255-1294, November.
  20. Louis S. Jacobson & Robert J. LaLonde & Daniel Sullivan, 1992. "Earnings Losses of Displaced Workers," Upjohn Working Papers and Journal Articles 92-11, W.E. Upjohn Institute for Employment Research.
  21. Moshe Buchinsky & Jennifer Hunt, 1999. "Wage Mobility In The United States," The Review of Economics and Statistics, MIT Press, vol. 81(3), pages 351-368, August.
  22. Altonji, Joseph G & Shakotko, Robert A, 1987. "Do Wages Rise with Job Seniority?," Review of Economic Studies, Wiley Blackwell, vol. 54(3), pages 437-59, July.
  23. Chib, Siddhartha, 2001. "Markov chain Monte Carlo methods: computation and inference," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 57, pages 3569-3649 Elsevier.
  24. Addison, John T & Portugal, Pedro, 1989. "Job Displacement, Relative Wage Changes, and Duration of Unemployment," Journal of Labor Economics, University of Chicago Press, vol. 7(3), pages 281-302, July.
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