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Unobserved Worker Ability, Firm Heterogeneity, and the Returns to Schooling and Training

Author

Listed:
  • Ana Sofia Lopes

    (Departamento de Gestão e Economia, ESTG/Instituto Politécnico de Leiria (Portugal))

  • Paulino Teixeira

    (GEMF/Faculdade de Economia, Universidade de Coimbra (Portugal))

Abstract

We offer in this paper an alternative way of controlling for worker and firm heterogeneity. Our strategy assumes that the gap between the individual wage and the firm average wage, unexplained by differences in observable characteristics, gives the extent to which the individual unobserved ability deviates from the unobserved average ability in the firm at which she/he works. Based on an extended set of longitudinally observed attributes, including participation on workplace training, our results indicate that the typical human capital function covariates are highly correlated with unobserved ability which of course leads to the presence of a large bias in standard OLS regressions. We also found that high ability workers are more likely to switch jobs, while at the same time the quality of job matching is expected to increase. In turn, after controlling for worker and firm effects, the gender gap virtually vanishes. Given the visible impact of unobserved ability on wage determination, it follows, in particular, that standard state subsidies to firm training do entail the risk of greater wage inequality.

Suggested Citation

  • Ana Sofia Lopes & Paulino Teixeira, 2009. "Unobserved Worker Ability, Firm Heterogeneity, and the Returns to Schooling and Training," GEMF Working Papers 2009-03, GEMF, Faculty of Economics, University of Coimbra.
  • Handle: RePEc:gmf:wpaper:2009-03
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    References listed on IDEAS

    as
    1. Gary S. Becker, 1962. "Investment in Human Capital: A Theoretical Analysis," NBER Chapters, in: Investment in Human Beings, pages 9-49, National Bureau of Economic Research, Inc.
    2. 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.
    3. James J. Heckman, 2008. "Schools, Skills, And Synapses," Economic Inquiry, Western Economic Association International, vol. 46(3), pages 289-324, July.
    4. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1, March.
    5. John M. Abowd & Robert H. Creecy & Francis Kramarz, 2002. "Computing Person and Firm Effects Using Linked Longitudinal Employer-Employee Data," Longitudinal Employer-Household Dynamics Technical Papers 2002-06, Center for Economic Studies, U.S. Census Bureau.
    6. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Ana Sofia Lopes & Paulino Teixeira, 2013. "Productivity, wages, and the returns to firm-provided training: fair shared capitalism?," International Journal of Manpower, Emerald Group Publishing Limited, vol. 34(7), pages 776-793, November.

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    More about this item

    Keywords

    Human Capital; Unobserved Heterogeneity; Earnings; LEED; Job Mobility.;
    All these keywords.

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access

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