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Going to War and Going to College: Did World War II and the G.I. Bill Increase Educational Attainment for Returning Veterans?

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  • John Bound

    (University of Michigan and National Bureau of Economic Research)

  • Sarah Turner

    (University of Virginia and National Bureau of Economic Research)

Abstract

The flood of veterans enrolling in college at the end of World War II contributed to widespread rhetoric that the G.I. Bill brought about the "democratization" of American higher education. Whether military service, combined with educational benefits, led World War II veterans to increase their investments in college has received little research attention. Our estimation strategy focuses on between-cohort differences in military service, and we use census data to compare the collegiate attainment of veterans and nonveterans. The net effect of military service and G.I. benefits was substantial gains in the collegiate attainment of World War II veterans.

Suggested Citation

  • John Bound & Sarah Turner, 2002. "Going to War and Going to College: Did World War II and the G.I. Bill Increase Educational Attainment for Returning Veterans?," Journal of Labor Economics, University of Chicago Press, vol. 20(4), pages 784-815, October.
  • Handle: RePEc:ucp:jlabec:v:20:y:2002:i:4:p:784-815
    DOI: 10.1086/342012
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    References listed on IDEAS

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    1. Turner, Sarah & Bound, John, 2003. "Closing the Gap or Widening the Divide: The Effects of the G.I. Bill and World War II on the Educational Outcomes of Black Americans," The Journal of Economic History, Cambridge University Press, vol. 63(1), pages 145-177, March.
    2. Angrist, Joshua D, 1990. "Lifetime Earnings and the Vietnam Era Draft Lottery: Evidence from Social Security Administrative Records: Errata," American Economic Review, American Economic Association, vol. 80(5), pages 1284-1286, December.
    3. Thomas Lemieux & David Card, 2001. "Education, earnings, and the ‘Canadian G.I. Bill’," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 34(2), pages 313-344, May.
    4. Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-475, March.
    5. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1, June.
    6. Angrist, Joshua D., 1991. "Grouped-data estimation and testing in simple labor-supply models," Journal of Econometrics, Elsevier, vol. 47(2-3), pages 243-266, February.
    7. Susan M. Dynarski, 2003. "Does Aid Matter? Measuring the Effect of Student Aid on College Attendance and Completion," American Economic Review, American Economic Association, vol. 93(1), pages 279-288, March.
    8. Joshua D. Angrist, 1990. "The Effect of Veterans Benefits on Veterans' Education and Earnings," NBER Working Papers 3492, National Bureau of Economic Research, Inc.
    9. James Heckman & Lance Lochner & Christopher Taber, 1998. "Explaining Rising Wage Inequality: Explanations With A Dynamic General Equilibrium Model of Labor Earnings With Heterogeneous Agents," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 1(1), pages 1-58, January.
    10. Joshua D. Angrist, 1993. "The Effect of Veterans Benefits on Education and Earnings," ILR Review, Cornell University, ILR School, vol. 46(4), pages 637-652, July.
    11. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    12. Kane, Thomas J, 1994. "College Entry by Blacks since 1970: The Role of College Costs, Family Background, and the Returns to Education," Journal of Political Economy, University of Chicago Press, vol. 102(5), pages 878-911, October.
    13. Angrist, Joshua & Krueger, Alan B, 1994. "Why Do World War II Veterans Earn More Than Nonveterans?," Journal of Labor Economics, University of Chicago Press, vol. 12(1), pages 74-97, January.
    14. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    15. Claudia Goldin & Robert A. Margo, 1992. "The Great Compression: The Wage Structure in the United States at Mid-Century," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(1), pages 1-34.
    16. 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.
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    More about this item

    JEL classification:

    • I2 - Health, Education, and Welfare - - Education
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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