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

  • 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)

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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File URL: http://www.iub.edu/~caepr/RePEc/PDF/2008/CAEPR2008-006.pdf
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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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  1. John M. Abowd & Francis Kramarz & David Margolis, 1999. "High Wage Workers and High Wage Firms," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00353892, HAL.
  2. McFadden, Daniel, 1989. "A Method of Simulated Moments for Estimation of Discrete Response Models without Numerical Integration," Econometrica, Econometric Society, vol. 57(5), pages 995-1026, September.
  3. 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.
  4. 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.
  5. Louis S. Jacobson & Robert J. LaLonde & Daniel G. Sullivan, 1992. "Earnings losses of displaced workers," Working Paper Series, Macroeconomic Issues 92-28, Federal Reserve Bank of Chicago.
  6. Gibbons, Robert & Katz, Lawrence F, 1991. "Layoffs and Lemons," Journal of Labor Economics, University of Chicago Press, vol. 9(4), pages 351-80, October.
  7. Lillard, Lee A & Willis, Robert J, 1978. "Dynamic Aspects of Earning Mobility," Econometrica, Econometric Society, vol. 46(5), pages 985-1012, September.
  8. Daniel Parent, 1995. "Wages and Mobility: The Impact of Employer-Provided Training," CIRANO Working Papers 95s-27, CIRANO.
  9. Neal, Derek, 1995. "Industry-Specific Human Capital: Evidence from Displaced Workers," Journal of Labor Economics, University of Chicago Press, vol. 13(4), pages 653-77, October.
  10. Joseph G. Altonji & Nicolas Williams, 1997. "Do Wages Rise with Job Seniority? A Reassessment," NBER Working Papers 6010, National Bureau of Economic Research, Inc.
  11. Abraham, Katharine G & Farber, Henry S, 1987. "Job Duration, Seniority, and Earnings," American Economic Review, American Economic Association, vol. 77(3), pages 278-97, June.
  12. Jacob Mincer, 1988. "Job Training, Wage Growth, and Labor Turnover," NBER Working Papers 2690, National Bureau of Economic Research, Inc.
  13. 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.
  14. Card, David, 2001. "Estimating the Return to Schooling: Progress on Some Persistent Econometric Problems," Econometrica, Econometric Society, vol. 69(5), pages 1127-60, September.
  15. Denis Fougère & Thierry Kamionka, 2002. "Bayesian Inference for the Mover-Stayer Model in Continuous Time with an Application to Labour Market Transition Data," Working Papers 2002-23, Centre de Recherche en Economie et Statistique.
  16. Pakes, Ariel & Pollard, David, 1989. "Simulation and the Asymptotics of Optimization Estimators," Econometrica, Econometric Society, vol. 57(5), pages 1027-57, September.
  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. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
  19. 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.
  20. Parent, Daniel, 2000. "Industry-Specific Capital and the Wage Profile: Evidence from the National Longitudinal Survey of Youth and the Panel Study of Income Dynamics," Journal of Labor Economics, University of Chicago Press, vol. 18(2), pages 306-23, April.
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  22. repec:cup:etheor:v:12:y:1996:i:3:p:409-31 is not listed on IDEAS
  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. 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.
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