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Estimating the Veteran Effect with Endogenous Schooling when Instruments are Potentially Weak

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  • Saraswata Chaudhuri
  • Elaina Rose

Abstract

Instrumental variables estimates of the effect of military service on subsequent civilian earnings either omit schooling or treat it as exogenous. In a more general setting that also allows for the treatment of schooling as endogenous, we estimate the veteran effect for men who were born between 1944 and 1952 and thus reached draft age during the Vietnam era. We apply a variety of state-of-the-art econometric techniques to gauge the sensitivity of the estimates to the treatment of schooling. We find a significant veteran penalty.

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Bibliographic Info

Paper provided by University of Washington, Department of Economics in its series Working Papers with number UWEC-2009-07.

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Date of creation: Feb 2009
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Handle: RePEc:udb:wpaper:uwec-2009-07

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  1. James H. Stock & Motohiro Yogo, 2002. "Testing for Weak Instruments in Linear IV Regression," NBER Technical Working Papers 0284, National Bureau of Economic Research, Inc.
  2. Halvorsen, Robert & Palmquist, Raymond, 1980. "The Interpretation of Dummy Variables in Semilogarithmic Equations," American Economic Review, American Economic Association, vol. 70(3), pages 474-75, June.
  3. Joshua D. Angrist & Stacey H. Chen, 2009. "Long-Term Economic Consequences of Vietnam-Era Conscription: Schooling, Experience and Earnings," Royal Holloway, University of London: Discussion Papers in Economics 09/02, Department of Economics, Royal Holloway University of London.
  4. Douglas Staiger & James H. Stock, 1994. "Instrumental Variables Regression with Weak Instruments," NBER Technical Working Papers 0151, National Bureau of Economic Research, Inc.
  5. James H. Stock & Jonathan Wright, 2000. "GMM with Weak Identification," Econometrica, Econometric Society, vol. 68(5), pages 1055-1096, September.
  6. 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.
  7. Andrews,Donald W. K. & Stock,James H. (ed.), 2005. "Identification and Inference for Econometric Models," Cambridge Books, Cambridge University Press, number 9780521844413, October.
  8. Card, David, 1999. "The causal effect of education on earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 30, pages 1801-1863 Elsevier.
  9. Frank Kleibergen, 2005. "Testing Parameters in GMM Without Assuming that They Are Identified," Econometrica, Econometric Society, vol. 73(4), pages 1103-1123, 07.
  10. Joshua D. Angrist & Alan B. Krueger, 1990. "Does Compulsory School Attendance Affect Schooling and Earnings?," NBER Working Papers 3572, National Bureau of Economic Research, Inc.
  11. 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..
  12. De Tray, Dennis, 1982. "Veteran Status as a Screening Device," American Economic Review, American Economic Association, vol. 72(1), pages 133-42, March.
  13. 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.
  14. Kenneth I. Wolpin & Mark R. Rosenzweig, 2000. "Natural "Natural Experiments" in Economics," Journal of Economic Literature, American Economic Association, vol. 38(4), pages 827-874, December.
  15. Saul Schwartz, 1986. "The relative earnings of Vietnam and Korean-era veterans," Industrial and Labor Relations Review, ILR Review, Cornell University, ILR School, vol. 39(4), pages 564-572, July.
  16. Matthew S. Goldberg & John T. Warner, 1987. "Military Experience, Civilian Experience, and the Earnings of Veterans," Journal of Human Resources, University of Wisconsin Press, vol. 22(1), pages 61-81.
  17. Kleibergen, Frank & Mavroeidis, Sophocles, 2009. "Weak Instrument Robust Tests in GMM and the New Keynesian Phillips Curve," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(3), pages 293-311.
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Cited by:
  1. Christopher J. Bennett & Ričardas Zitikis, 2013. "Examining the Distributional Effects of Military Service on Earnings: A Test of Initial Dominance," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(1), pages 1-15, January.
  2. Doko Tchatoka, Firmin Sabro, 2012. "Specification Tests with Weak and Invalid Instruments," MPRA Paper 40185, University Library of Munich, Germany.
  3. Doko Tchatoka, Firmin, 2012. "On the validity of Durbin-Wu-Hausman tests for assessing partial exogeneity hypotheses with possibly weak instruments," Working Papers 15061, University of Tasmania, School of Economics and Finance, revised 06 Jul 2012.

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