IDEAS home Printed from https://ideas.repec.org/a/ecm/emetrp/v66y1998i2p249-288.html
   My bibliography  Save this article

Estimating the Labor Market Impact of Voluntary Military Service Using Social Security Data on Military Applicants

Author

Listed:
  • Joshua D. Angrist

Abstract

Effects of military service on veterans' earnings are estimated using Social Security administrative records to fit models with heterogeneous potential outcomes. The first estimation strategy uses matching and regression to compare applicants who enlisted with applicants who did not enlist. The second uses instrumental variables generated by an error in military entrance exams. The empirical results suggest that military service led to higher employment rates for veterans. But in spite of this employment gain, voluntary military service led to only a modest increase in the civilian earnings of nonwhite veterans while actually reducing the civilian earnings of white veterans.

Suggested Citation

  • Joshua D. Angrist, 1998. "Estimating the Labor Market Impact of Voluntary Military Service Using Social Security Data on Military Applicants," Econometrica, Econometric Society, vol. 66(2), pages 249-288, March.
    • Handle: RePEc:ecm:emetrp:v:66:y:1998:i:2:p:249-288
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Mark C. Berger & Barry T. Hirsch, 1983. "The Civilian Earnings Experience of Vietnam - Era Veterans," Journal of Human Resources, University of Wisconsin Press, vol. 18(4), pages 455-479.
    2. Card, David & Sullivan, Daniel G, 1988. "Measuring the Effect of Subsidized Training Programs on Movements in and out of Employment," Econometrica, Econometric Society, vol. 56(3), pages 497-530, May.
    3. Don Bellante, 1994. "Labor economics," Chapters, in: Peter J. Boettke (ed.), The Elgar Companion to Austrian Economics, chapter 37, Edward Elgar Publishing.
    4. Newey, Whitney K, 1990. "Efficient Instrumental Variables Estimation of Nonlinear Models," Econometrica, Econometric Society, vol. 58(4), pages 809-837, July.
    5. Bryant, Richard R. & Samaranayake, V. A. & Wilhite, Allen, 1993. "The effect of military service on the subsequent civilian wage of the post-Vietnam veteran," The Quarterly Review of Economics and Finance, Elsevier, vol. 33(1), pages 15-31.
    6. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Joshua D. Angrist & Stacey H. Chen, 2007. "Long-term consequences of vietnam-era conscription: schooling, experience, and earnings," NBER Working Papers 13411, National Bureau of Economic Research, Inc.
    2. Carrasco, Raquel, 2001. "Binary Choice with Binary Endogenous Regressors in Panel Data: Estimating the Effect of Fertility on Female Labor Participation," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(4), pages 385-394, October.
    3. Sianesi, Barbara, 2017. "Evidence of randomisation bias in a large-scale social experiment: The case of ERA," Journal of Econometrics, Elsevier, vol. 198(1), pages 41-64.
    4. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    5. Arild Aakvik & James J. Heckman & Edward J. Vytlacil, 2000. "Treatment Effects for Discrete Outcomes when Responses to Treatment Vary Among Observationally Identical Persons: An Application to Norwegian ..," NBER Technical Working Papers 0262, National Bureau of Economic Research, Inc.
    6. Hsiao, Cheng & Shen, Yan & Wang, Boqing & Weeks, Greg, 2008. "Evaluating the effectiveness of Washington state repeated job search services on the employment rate of prime-age female welfare recipients," Journal of Econometrics, Elsevier, vol. 145(1-2), pages 98-108, July.
    7. Joseph Hotz, V. & Imbens, Guido W. & Mortimer, Julie H., 2005. "Predicting the efficacy of future training programs using past experiences at other locations," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 241-270.
    8. Hujer, Reinhard & Wellner, Marc, 2000. "Berufliche Weiterbildung und individuelle Arbeitslosigkeitsdauer in West- und Ostdeutschland : eine mikroökonometrische Analyse (Further vocational training and individual duration ofunemployment in w," Mitteilungen aus der Arbeitsmarkt- und Berufsforschung, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 33(3), pages 405-420.
    9. Thierry Magnac, 2000. "L'apport de la microéconométrie à l'évaluation des politiques publiques," Cahiers d'Economie et Sociologie Rurales, INRA Department of Economics, vol. 54, pages 89-113.
    10. David Card & Dean R. Hyslop, 2005. "Estimating the Effects of a Time-Limited Earnings Subsidy for Welfare-Leavers," Econometrica, Econometric Society, vol. 73(6), pages 1723-1770, November.
    11. Cockx, Bart & Bardoulat, Isabelle, 1999. "Vocational Training: Does it speed up the Transition Rate out of Unemployment ?," LIDAM Discussion Papers IRES 1999032, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    12. Kumar, Anil & Liang, Che-Yuan, 2020. "Estimating taxable income responses with elasticity heterogeneity," Journal of Public Economics, Elsevier, vol. 188(C).
    13. Michael Lechner, 2000. "An Evaluation of Public-Sector-Sponsored Continuous Vocational Training Programs in East Germany," Journal of Human Resources, University of Wisconsin Press, vol. 35(2), pages 347-375.
    14. Corseuil, Carlos Henrique & Foguel, Miguel N. & Gonzaga, Gustavo, 2019. "Apprenticeship as a stepping stone to better jobs: Evidence from Brazilian matched employer-employee data," Labour Economics, Elsevier, vol. 57(C), pages 177-194.
    15. Feng Yao & Junsen Zhang, 2015. "Efficient kernel-based semiparametric IV estimation with an application to resolving a puzzle on the estimates of the return to schooling," Empirical Economics, Springer, vol. 48(1), pages 253-281, February.
    16. Poirier, Alexandre, 2017. "Efficient estimation in models with independence restrictions," Journal of Econometrics, Elsevier, vol. 196(1), pages 1-22.
    17. John J. Hisnanick, 2003. "A Great Place to Start: The Role of Military Service on Human Capital Formation," LABOUR, CEIS, vol. 17(1), pages 25-45, March.
    18. Aakvik, Arild & Heckman, James J. & Vytlacil, Edward J., 2005. "Estimating treatment effects for discrete outcomes when responses to treatment vary: an application to Norwegian vocational rehabilitation programs," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 15-51.
    19. Chi, Miao & Drewianka, Scott, 2014. "How much is a green card worth? Evidence from Mexican men who marry women born in the U.S," Labour Economics, Elsevier, vol. 31(C), pages 103-116.
    20. Escanciano, Juan Carlos & Li, Wei, 2021. "Optimal Linear Instrumental Variables Approximations," Journal of Econometrics, Elsevier, vol. 221(1), pages 223-246.

    More about this item

    JEL classification:

    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

    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:ecm:emetrp:v:66:y:1998:i:2:p:249-288. 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: . General contact details of provider: https://edirc.repec.org/data/essssea.html .

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/essssea.html .

    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.