IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp1521.html
   My bibliography  Save this paper

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

Author

Listed:
  • Buchinsky, Moshe

    () (University of California, Los Angeles)

  • Fougère, Denis

    () (Sciences Po, Paris)

  • Kramarz, Francis

    () (CREST (ENSAE))

  • Tchernis, Rusty

    () (Georgia State University)

Abstract

Much of the research in labor economics during the 1980s and the early 1990s was devoted to the analysis of changes in the wage structure across many of the world’s economies. Only recently, has research turned to the analysis of mobility in its various guises. From the life cycle perspective, decreased wage mobility and increased job instability, makes the phenomenon of increasing wage inequality more severe than it appears to be at first sight. In general, workers’ wages may change through two channels: (a) return to their firm-specific human capital (seniority); or (b) inter-firm wage mobility. Our theoretical model gives rise to three equations: (1) a participation equation; (2) a wage equation; and (3) an interfirm mobility equation. In this model the wage equation is estimated simultaneously with the two decision equations. We use the Panel Study of Income Dynamics (PSID) to estimate the model for three education groups. Our main finding is that returns to seniority are quite high for all education groups. On the other hand, the returns to experience appear to be similar to those previously found in the literature.

Suggested Citation

  • Buchinsky, Moshe & Fougère, Denis & Kramarz, Francis & Tchernis, Rusty, 2005. "Interfirm Mobility, Wages, and the Returns to Seniority and Experience in the U.S," IZA Discussion Papers 1521, Institute for the Study of Labor (IZA).
  • Handle: RePEc:iza:izadps:dp1521
    as

    Download full text from publisher

    File URL: http://ftp.iza.org/dp1521.pdf
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. Gibbons, Robert & Katz, Lawrence F, 1991. "Layoffs and Lemons," Journal of Labor Economics, University of Chicago Press, vol. 9(4), pages 351-380, October.
    3. Lillard, Lee A & Willis, Robert J, 1978. "Dynamic Aspects of Earning Mobility," Econometrica, Econometric Society, vol. 46(5), pages 985-1012, September.
    4. 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.
    5. Jacobson, Louis S & LaLonde, Robert J & Sullivan, Daniel G, 1993. "Earnings Losses of Displaced Workers," American Economic Review, American Economic Association, vol. 83(4), pages 685-709, September.
    6. 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.
    7. John M. Abowd & Francis Kramarz & David N. Margolis, 1999. "High Wage Workers and High Wage Firms," Econometrica, Econometric Society, vol. 67(2), pages 251-334, March.
    8. 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.
    9. Neal, Derek, 1995. "Industry-Specific Human Capital: Evidence from Displaced Workers," Journal of Labor Economics, University of Chicago Press, vol. 13(4), pages 653-677, October.
    10. 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.
    11. 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.
    12. Pakes, Ariel & Pollard, David, 1989. "Simulation and the Asymptotics of Optimization Estimators," Econometrica, Econometric Society, vol. 57(5), pages 1027-1057, September.
    13. Denis Fougère & Thierry Kamionka, 2003. "Bayesian inference for the mover-stayer model in continuous time with an application to labour market transition data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(6), pages 697-723.
    14. Joseph G. Altonji & Robert A. Shakotko, 1987. "Do Wages Rise with Job Seniority?," Review of Economic Studies, Oxford University Press, vol. 54(3), pages 437-459.
    15. 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.
    16. Parent, Daniel, 1999. "Wages and Mobility: The Impact of Employer-Provided Training," Journal of Labor Economics, University of Chicago Press, vol. 17(2), pages 298-317, April.
    17. Joseph G. Altonji & Nicolas Williams, 2005. "Do Wages Rise with Job Seniority? A Reassessment," ILR Review, Cornell University, ILR School, vol. 58(3), pages 370-397, April.
    18. Jacob Mincer, 1988. "Job Training, Wage Growth, and Labor Turnover," NBER Working Papers 2690, National Bureau of Economic Research, Inc.
    19. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    20. repec:cup:etheor:v:12:y:1996:i:3:p:409-31 is not listed on IDEAS
    21. 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 145-176, February.
    22. Abraham, Katharine G & Farber, Henry S, 1987. "Job Duration, Seniority, and Earnings," American Economic Review, American Economic Association, vol. 77(3), pages 278-297, June.
    23. 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 306-323, April.
    24. Card, David, 2001. "Estimating the Return to Schooling: Progress on Some Persistent Econometric Problems," Econometrica, Econometric Society, vol. 69(5), pages 1127-1160, September.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

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

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J63 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Turnover; Vacancies; Layoffs

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:iza:izadps:dp1521. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Mark Fallak). General contact details of provider: http://www.iza.org .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.