IDEAS home Printed from https://ideas.repec.org/p/zbw/glodps/751.html
   My bibliography  Save this paper

Conscription and Military Service: Do They Result in Future Violent and Non-Violent Incarcerations and Recidivism?

Author

Listed:
  • Wang, Xintong
  • Flores-Lagunes, Alfonso

Abstract

Employing nonparametric bounds, we examine the effect of military service on incarceration outcomes using the Vietnam draft lotteries as a possibly invalid instrumental variable for military service. The draft is allowed to have a direct effect on the outcomes independently of military service, disposing of the exclusion restriction. We find: (i) suggestive but not strong statistical evidence that the direct effect of the draft increases the incarceration rate for violent offenses for a particular cohort of draft avoiders, and (ii) military service increases the incarceration rate for violent and nonviolent crimes of white volunteers and veterans in certain birth cohorts.

Suggested Citation

  • Wang, Xintong & Flores-Lagunes, Alfonso, 2021. "Conscription and Military Service: Do They Result in Future Violent and Non-Violent Incarcerations and Recidivism?," GLO Discussion Paper Series 751, Global Labor Organization (GLO).
    • Handle: RePEc:zbw:glodps:751
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/228460/1/GLO-DP-0751.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. Ismael Mourifié & Yuanyuan Wan, 2017. "Testing Local Average Treatment Effect Assumptions," The Review of Economics and Statistics, MIT Press, vol. 99(2), pages 305-313, May.
    3. Carlos A. Flores & Alfonso Flores-Lagunes, 2010. "Nonparametric Partial Identification of Causal Net and Mechanism Average Treatment Effects," Working Papers 2010-25, University of Miami, Department of Economics.
    4. David S. Lee, 2009. "Training, Wages, and Sample Selection: Estimating Sharp Bounds on Treatment Effects," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 76(3), pages 1071-1102.
    5. Martin Huber & Lukas Laffers & Giovanni Mellace, 2017. "Sharp IV Bounds on Average Treatment Effects on the Treated and Other Populations Under Endogeneity and Noncompliance," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(1), pages 56-79, January.
    6. Martin Huber & Giovanni Mellace, 2015. "Testing Instrument Validity for LATE Identification Based on Inequality Moment Constraints," The Review of Economics and Statistics, MIT Press, vol. 97(2), pages 398-411, May.
    7. Maria Bampasidou & Carlos A. Flores & Alfonso Flores-Lagunes & Daniel J. Parisian, 2014. "The Role of Degree Attainment in the Differential Impact of Job Corps on Adolescents and Young Adults," Research in Labor Economics, in: Factors Affecting Worker Well-being: The Impact of Change in the Labor Market, volume 40, pages 113-156, Emerald Group Publishing Limited.
    8. Angrist, Joshua D. & Chen, Stacey H. & Frandsen, Brigham R., 2010. "Did Vietnam veterans get sicker in the 1990s? The complicated effects of military service on self-reported health," Journal of Public Economics, Elsevier, vol. 94(11-12), pages 824-837, December.
    9. Guido W. Imbens & Charles F. Manski, 2004. "Confidence Intervals for Partially Identified Parameters," Econometrica, Econometric Society, vol. 72(6), pages 1845-1857, November.
    10. Jason M. Lindo & Charles Stoecker, 2014. "Drawn Into Violence: Evidence On “What Makes A Criminal” From The Vietnam Draft Lotteries," Economic Inquiry, Western Economic Association International, vol. 52(1), pages 239-258, January.
    11. Karsten Albæk & Søren Leth‐Petersen & Daniel le Maire & Torben Tranæs, 2017. "Does Peacetime Military Service Affect Crime?," Scandinavian Journal of Economics, Wiley Blackwell, vol. 119(3), pages 512-540, July.
    12. Carlos Dobkin & Reza Shabani, 2009. "The Health Effects Of Military Service: Evidence From The Vietnam Draft," Economic Inquiry, Western Economic Association International, vol. 47(1), pages 69-80, January.
    13. Victor Chernozhukov & Sokbae Lee & Adam M. Rosen, 2013. "Intersection Bounds: Estimation and Inference," Econometrica, Econometric Society, vol. 81(2), pages 667-737, March.
    14. Anna Aizer & Joseph J. Doyle, 2015. "Juvenile Incarceration, Human Capital, and Future Crime: Evidence from Randomly Assigned Judges," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(2), pages 759-803.
    15. Sebastian Galiani & Martín A. Rossi & Ernesto Schargrodsky, 2011. "Conscription and Crime: Evidence from the Argentine Draft Lottery," American Economic Journal: Applied Economics, American Economic Association, vol. 3(2), pages 119-136, April.
    16. Heckman, James J. & Lalonde, Robert J. & Smith, Jeffrey A., 1999. "The economics and econometrics of active labor market programs," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 31, pages 1865-2097, Elsevier.
    17. Eva Deuchert & Martin Huber, 2017. "A Cautionary Tale About Control Variables in IV Estimation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(3), pages 411-425, June.
    18. 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.
    19. Amin, Vikesh & Flores, Carlos A. & Flores-Lagunes, Alfonso & Parisian, Daniel J., 2016. "The effect of degree attainment on arrests: Evidence from a randomized social experiment," Economics of Education Review, Elsevier, vol. 54(C), pages 259-273.
    20. Guido W. Imbens & Donald B. Rubin, 1997. "Estimating Outcome Distributions for Compliers in Instrumental Variables Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 555-574.
    21. Yoav Benjamini & Abba M. Krieger & Daniel Yekutieli, 2006. "Adaptive linear step-up procedures that control the false discovery rate," Biometrika, Biometrika Trust, vol. 93(3), pages 491-507, September.
    22. Keisuke Hirano & Jack R. Porter, 2012. "Impossibility Results for Nondifferentiable Functionals," Econometrica, Econometric Society, vol. 80(4), pages 1769-1790, July.
    23. Carlos A. Flores & Alfonso Flores-Lagunes, 2013. "Partial Identification of Local Average Treatment Effects With an Invalid Instrument," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(4), pages 534-545, October.
    24. Xuan Chen & Carlos A. Flores & Alfonso Flores-Lagunes, 2018. "Going beyond LATE: Bounding Average Treatment Effects of Job Corps Training," Journal of Human Resources, University of Wisconsin Press, vol. 53(4), pages 1050-1099.
    25. Lance Lochner & Enrico Moretti, 2004. "The Effect of Education on Crime: Evidence from Prison Inmates, Arrests, and Self-Reports," American Economic Review, American Economic Association, vol. 94(1), pages 155-189, March.
    26. Randi Hjalmarsson & Matthew J Lindquist, 2019. "The Causal Effect of Military Conscription on Crime," The Economic Journal, Royal Economic Society, vol. 129(622), pages 2522-2562.
    27. Toru Kitagawa, 2015. "A Test for Instrument Validity," Econometrica, Econometric Society, vol. 83(5), pages 2043-2063, September.
    28. Patrick Bayer & Randi Hjalmarsson & David Pozen, 2009. "Building Criminal Capital behind Bars: Peer Effects in Juvenile Corrections," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(1), pages 105-147.
    29. 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.
    30. D. Mark Anderson & Daniel I. Rees, 2015. "Deployments, Combat Exposure, and Crime," Journal of Law and Economics, University of Chicago Press, vol. 58(1), pages 235-267.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xintong Wang & Carlos A. Flores & Alfonso Flores-Lagunes, 2020. "The Effects of Vietnam-Era Military Service on the Long-Term Health of Veterans: A Bounds Analysis," Center for Policy Research Working Papers 234, Center for Policy Research, Maxwell School, Syracuse University.
    2. Michela Bia & German Blanco & Marie Valentova, 2021. "The Causal Impact of Taking Parental Leave on Wages: Evidence from 2005 to 2015," LISER Working Paper Series 2021-08, Luxembourg Institute of Socio-Economic Research (LISER).

    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. Xintong Wang & Carlos A. Flores & Alfonso Flores-Lagunes, 2020. "The Effects of Vietnam-Era Military Service on the Long-Term Health of Veterans: A Bounds Analysis," Center for Policy Research Working Papers 234, Center for Policy Research, Maxwell School, Syracuse University.
    2. Amin, Vikesh & Flores, Carlos A. & Flores-Lagunes, Alfonso & Parisian, Daniel J., 2016. "The effect of degree attainment on arrests: Evidence from a randomized social experiment," Economics of Education Review, Elsevier, vol. 54(C), pages 259-273.
    3. Chen, Xuan & Flores, Carlos A. & Flores-Lagunes, Alfonso, 2015. "Going Beyond LATE: Bounding Average Treatment Effects of Job Corps Training," IZA Discussion Papers 9511, Institute of Labor Economics (IZA).
    4. Sun, Zhenting, 2023. "Instrument validity for heterogeneous causal effects," Journal of Econometrics, Elsevier, vol. 237(2).
    5. Kédagni, Désiré, 2023. "Identifying treatment effects in the presence of confounded types," Journal of Econometrics, Elsevier, vol. 234(2), pages 479-511.
    6. Huber Martin & Wüthrich Kaspar, 2019. "Local Average and Quantile Treatment Effects Under Endogeneity: A Review," Journal of Econometric Methods, De Gruyter, vol. 8(1), pages 1-27, January.
    7. Resul Cesur & Joseph J. Sabia & Erdal Tekin, 2020. "Post-9/11 War Deployments Increased Crime among Veterans," NBER Working Papers 27279, National Bureau of Economic Research, Inc.
    8. Eva Deuchert & Martin Huber, 2017. "A Cautionary Tale About Control Variables in IV Estimation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(3), pages 411-425, June.
    9. Jason M. Lindo & Charles Stoecker, 2014. "Drawn Into Violence: Evidence On “What Makes A Criminal” From The Vietnam Draft Lotteries," Economic Inquiry, Western Economic Association International, vol. 52(1), pages 239-258, January.
    10. Michela Bia & German Blanco & Marie Valentova, 2021. "The Causal Impact of Taking Parental Leave on Wages: Evidence from 2005 to 2015," LISER Working Paper Series 2021-08, Luxembourg Institute of Socio-Economic Research (LISER).
    11. German Blanco & Xuan Chen & Carlos A. Flores & Alfonso Flores-Lagunes, 2020. "Bounds on Average and Quantile Treatment Effects on Duration Outcomes Under Censoring, Selection, and Noncompliance," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(4), pages 901-920, October.
    12. Lyk-Jensen, Stéphanie Vincent, 2018. "Does peacetime military service affect crime? New evidence from Denmark’s conscription lotteries," Labour Economics, Elsevier, vol. 52(C), pages 245-262.
    13. Kitagawa, Toru, 2021. "The identification region of the potential outcome distributions under instrument independence," Journal of Econometrics, Elsevier, vol. 225(2), pages 231-253.
    14. Huber, Martin & Wüthrich, Kaspar, 2017. "Evaluating local average and quantile treatment effects under endogeneity based on instruments: a review," FSES Working Papers 479, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    15. Hjalmarsson, Randi & Lindquist, Matthew, 2016. "The Causal Effect of Military Conscription on Crime and the Labor Market," CEPR Discussion Papers 11110, C.E.P.R. Discussion Papers.
    16. Sebastian Galiani & Martín A. Rossi & Ernesto Schargrodsky, 2011. "Conscription and Crime: Evidence from the Argentine Draft Lottery," American Economic Journal: Applied Economics, American Economic Association, vol. 3(2), pages 119-136, April.
    17. 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.
    18. Kate Baldwin & Rikhil R. Bhavnani, 2013. "Ancillary Experiments: Opportunities and Challenges," WIDER Working Paper Series wp-2013-024, World Institute for Development Economic Research (UNU-WIDER).
    19. Thomas Carr & Toru Kitagawa, 2021. "Testing Instrument Validity with Covariates," Papers 2112.08092, arXiv.org, revised Sep 2023.
    20. Peter Siminski & Simon Ville & Alexander Paull, 2016. "Does the military turn men into criminals? New evidence from Australia’s conscription lotteries," Journal of Population Economics, Springer;European Society for Population Economics, vol. 29(1), pages 197-218, January.

    More about this item

    Keywords

    Conscription; Military Service; Incarceration; Crime; Nonparametric Bounds;
    All these keywords.

    JEL classification:

    • K4 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:zbw:glodps:751. See general information about how to correct material in RePEc.

    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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/glabode.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.