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Why do World War II Veterans Earn More Than Nonveterans?

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Listed:
  • Alan B. Krueger
  • Joshua D. Angrist

Abstract

Veterans of World War II are widely believed to earn more than nonveterans of the same age. Theoretical justifications for the World War II veteran premium include the subsidization of education and training, and preference for veterans in hiring. In this paper, we propose and test an alternative view: that the observed World War II veteran premium reflects the fact that men with higher earnings potential were more likely to have been selected into the Armed Forces. An empirical strategy is developed that allows estimation of the effects of veteran status while controlling for correlation with unobserved earnings potential. The estimation is based on the fact that from 1942 to 1947 priority for conscription was determined in chronological order of birth. Information on individuals' dates of birth may therefore be used to construct instruments for veteran status. Empirical results from the 1960, 1970, and 1980 Censuses, along with two other micro data sets, support a conclusion that World War II veterans earn no more than comparable nonveterans, and may well earn less. These results suggest that 015 estimates of the World War II veteran premium are severely biased by nonrandom selection into military service, and that the civilian labor market experiences of veterans of World War II were not very different from the experiences of Vietnam-era veterans.

Suggested Citation

  • Alan B. Krueger & Joshua D. Angrist, 1989. "Why do World War II Veterans Earn More Than Nonveterans?," NBER Working Papers 2991, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:2991
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    References listed on IDEAS

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    1. Griliches, Zvi & Mason, William M, 1972. "Education, Income, and Ability," Journal of Political Economy, University of Chicago Press, vol. 80(3), pages 74-103, Part II, .
    2. Angrist, Joshua D, 1990. "Lifetime Earnings and the Vietnam Era Draft Lottery: Evidence from Social Security Administrative Records," American Economic Review, American Economic Association, vol. 80(3), pages 313-336, June.
    3. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    4. Unknown, 1978. "System Theory Applications to Agricultural Modeling," Economics Statistics and Cooperative Services (ESCS) Reports 142836, United States Department of Agriculture, Economic Research Service.
    5. repec:fth:prinin:251 is not listed on IDEAS
    6. Sherwin Rosen & Paul Taubman, 1982. "Changes in Life-Cycle Earnings: What Do Social Security Data Show?," Journal of Human Resources, University of Wisconsin Press, vol. 17(3), pages 321-338.
    7. Heckman, James J, 1978. "Dummy Endogenous Variables in a Simultaneous Equation System," Econometrica, Econometric Society, vol. 46(4), pages 931-959, July.
    8. Jon R. Crane & David A. Wise, 1987. "Military Service and Civilian Earnings of Youths," NBER Chapters, in: Public Sector Payrolls, pages 119-146, National Bureau of Economic Research, Inc.
    9. LaLonde, Robert J, 1986. "Evaluating the Econometric Evaluations of Training Programs with Experimental Data," American Economic Review, American Economic Association, vol. 76(4), pages 604-620, September.
    10. Murphy, Kevin M & Welch, Finis, 1990. "Empirical Age-Earnings Profiles," Journal of Labor Economics, University of Chicago Press, vol. 8(2), pages 202-229, April.
    11. K. Newey, Whitney, 1985. "Generalized method of moments specification testing," Journal of Econometrics, Elsevier, vol. 29(3), pages 229-256, September.
    12. Joshua Angrist, 1989. "Lifetime Earnings and the Vietnam Era Draft Lottery: Evidence from Social Security Administrative Records," Working Papers 631, Princeton University, Department of Economics, Industrial Relations Section..
    13. David A. Wise, 1987. "Public Sector Payrolls," NBER Books, National Bureau of Economic Research, Inc, number wise87-1.
    14. Joshua D. Angrist & Alan B. Keueger, 1991. "Does Compulsory School Attendance Affect Schooling and Earnings?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(4), pages 979-1014.
    15. De Tray, Dennis, 1982. "Veteran Status as a Screening Device," American Economic Review, American Economic Association, vol. 72(1), pages 133-142, March.
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    More about this item

    JEL classification:

    • G3 - Financial Economics - - Corporate Finance and Governance
    • G31 - Financial Economics - - Corporate Finance and Governance - - - Capital Budgeting; Fixed Investment and Inventory Studies

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