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Are There Returns to the Wages of Young Men from Working While in School?

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  • V. Joseph Hotz
  • Lixin Xu
  • Marta Tienda
  • Avner Ahituv

Abstract

This paper examines the impacts of work experience acquired while youth were in high school (and college) on young men's wage rates during the 1980s and 1990s. Previous studies have found evidence of sizeable and persistent rates of return to working while enrolled in school, especially high school, on subsequent wage growth. Such findings may represent causal effects of having acquired work experience while still enrolled in school, but they may also be the result of failure to fully account for individual differences in young adults' capacities to acquire such skills and be productive in the work force later in life. We re-examine the robustness of previous attempts to control for unobserved heterogeneity and selectivity. We explore more general methods for dealing with dynamic forms of selection by explicitly modeling the educational and work choices of young men from age 13 through their late twenties. Using data on young men from the 1979 National Longitudinal Survey of Youth (NLSY79), we find that the estimated returns to working while in high school or college are dramatically diminished in magnitude and statistical significance when one uses these dynamic selection methods. As such, our results indicate a decided lack of robustness to the inference about the effects of working while in school that has been drawn from previous work.

Suggested Citation

  • V. Joseph Hotz & Lixin Xu & Marta Tienda & Avner Ahituv, 1999. "Are There Returns to the Wages of Young Men from Working While in School?," NBER Working Papers 7289, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:7289
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    1. James J. Heckman, 1976. "The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 475-492, National Bureau of Economic Research, Inc.
    2. V. Joseph Hotz & Robert A. Miller & Seth Sanders & Jeffrey Smith, 1994. "A Simulation Estimator for Dynamic Models of Discrete Choice," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 61(2), pages 265-289.
    3. V. Joseph Hotz & Robert A. Miller, 1993. "Conditional Choice Probabilities and the Estimation of Dynamic Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 497-529.
    4. Richard B. Freeman & David A. Wise, 1982. "The Youth Labor Market Problem: Its Nature, Causes, and Consequences," NBER Books, National Bureau of Economic Research, Inc, number free82-1.
    5. Cameron, Stephen V & Heckman, James J, 1993. "The Nonequivalence of High School Equivalents," Journal of Labor Economics, University of Chicago Press, vol. 11(1), pages 1-47, January.
    6. Avner Ahituv & Marta Tienda & Lixin Xu & V. Joseph Hotz, "undated". "Initial Labor Market Experiences of Black, Hispanic and White Men," University of Chicago - Population Research Center 94-5, Chicago - Population Research Center.
    7. Heckman, J.J. & Hotz, V.J., 1988. "Choosing Among Alternative Nonexperimental Methods For Estimating The Impact Of Social Programs: The Case Of Manpower Training," University of Chicago - Economics Research Center 88-12, Chicago - Economics Research Center.
    8. Robert H. Meyer & David A. Wise, 1982. "High School Preparation and Early Labor Force Experience," NBER Chapters, in: The Youth Labor Market Problem: Its Nature, Causes, and Consequences, pages 277-348, National Bureau of Economic Research, Inc.
    9. Ronald G. Ehrenberg & Daniel R. Sherman, 1987. "Employment While in College, Academic Achievement, and Postcollege Outcomes: A Summary of Results," Journal of Human Resources, University of Wisconsin Press, vol. 22(1), pages 1-23.
    10. Keane, Michael P & Wolpin, Kenneth I, 1994. "The Solution and Estimation of Discrete Choice Dynamic Programming Models by Simulation and Interpolation: Monte Carlo Evidence," The Review of Economics and Statistics, MIT Press, vol. 76(4), pages 648-672, November.
    11. Marvin M. Smith, 1985. "Early Labor Market Experiences of Youth and Subsequent Wages," American Journal of Economics and Sociology, Wiley Blackwell, vol. 44(4), pages 391-400, October.
    12. Stephen V. Cameron & James J. Heckman, 1998. "Life Cycle Schooling and Dynamic Selection Bias: Models and Evidence for Five Cohorts of American Males," Journal of Political Economy, University of Chicago Press, vol. 106(2), pages 262-333, April.
    13. Heckman, James & Singer, Burton, 1984. "A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data," Econometrica, Econometric Society, vol. 52(2), pages 271-320, March.
    14. Zvi Eckstein & Kenneth I. Wolpin, 1989. "The Specification and Estimation of Dynamic Stochastic Discrete Choice Models: A Survey," Journal of Human Resources, University of Wisconsin Press, vol. 24(4), pages 562-598.
    15. Christopher J. Flinn & James J. Heckman, 1982. "Models for the Analysis of Labor Force Dynamics," NBER Working Papers 0857, National Bureau of Economic Research, Inc.
    16. Lynch, Lisa M, 1989. "The Youth Labor Market in the Eighties: Determinants of Re-employment Probabilities for Young Men and Women," The Review of Economics and Statistics, MIT Press, vol. 71(1), pages 37-45, February.
    17. Stephen V. Cameron & James J. Heckman, 1998. "Life Cycle Schooling and Dynamic Selection Bias: Models and Evidence for Five Cohorts," NBER Working Papers 6385, National Bureau of Economic Research, Inc.
    18. Heckman, James J. & Singer, Burton, 1984. "Econometric duration analysis," Journal of Econometrics, Elsevier, vol. 24(1-2), pages 63-132.
    19. Ruhm, Christopher J, 1997. "Is High School Employment Consumption or Investment?," Journal of Labor Economics, University of Chicago Press, vol. 15(4), pages 735-776, October.
    20. Heckman, James J, 1974. "Shadow Prices, Market Wages, and Labor Supply," Econometrica, Econometric Society, vol. 42(4), pages 679-694, July.
    21. Heckman, James J. & Robb, Richard Jr., 1985. "Alternative methods for evaluating the impact of interventions : An overview," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 239-267.
    22. Flinn, C. & Heckman, J., 1982. "New methods for analyzing structural models of labor force dynamics," Journal of Econometrics, Elsevier, vol. 18(1), pages 115-168, January.
    23. Lisa M. Lynch, 1986. "The Youth Labor Market in the 80s: Determinants of Re-Employment Probabilities for Young Men and Women," NBER Working Papers 2021, National Bureau of Economic Research, Inc.
    24. James J. Heckman, 1981. "Heterogeneity and State Dependence," NBER Chapters, in: Studies in Labor Markets, pages 91-140, National Bureau of Economic Research, Inc.
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