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Instrument Choice and the Returns to Education: New Evidence from Vietnam

  • Jean-Louis Arcand

    (CERDI-CNRS, University of Auvergne & European Development Network)

  • Béatrice d'Hombres

    (CERDI-CNRS, University of Auvergne & University of Padua)

  • Paul Gyselinck

    (CERDI-CNRS, University of Auvergne)

This paper focuses on instrument choice while consistently estimating the returns to education in Vietnam. Using data culled from the 2 rounds of the Vietnam Living Standards Survey (VLSS), we explore different sets of exogenous instruments that rely on demand and supply side sources of variation in schooling as well as the matrix of instruments proposed by Hausman and Taylor (1981). Instrument validity tests suggest that many variables do not satisfy the necessary conditions allowing them to be used as instruments. As in several studies, we find that IV estimates of the returns to education are substantially higher than the corresponding OLS estimate. We show how the Hausman-Taylor matrix of instruments, when combined with other instruments, may be a useful way of consistently estimating an average return to education rather than a local average treatment effect (Angrist, 1994).

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Paper provided by EconWPA in its series Labor and Demography with number 0510011.

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Length: 22 pages
Date of creation: 11 Oct 2005
Date of revision:
Handle: RePEc:wpa:wuwpla:0510011
Note: Type of Document - pdf; pages: 22
Contact details of provider: Web page: http://econwpa.repec.org

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  1. Christopher F Baum & Mark E. Schaffer & Steven Stillman, 2002. "Instrumental variables and GMM: Estimation and testing," Boston College Working Papers in Economics 545, Boston College Department of Economics, revised 14 Feb 2003.
  2. van de Walle, Dominique & Gunewardena, Dileni, 2001. "Sources of ethnic inequality in Viet Nam," Journal of Development Economics, Elsevier, vol. 65(1), pages 177-207, June.
  3. Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-75, March.
  4. Falaris, Evangelos M., 2003. "The effect of survey attrition in longitudinal surveys: evidence from Peru, Cote d'Ivoire and Vietnam," Journal of Development Economics, Elsevier, vol. 70(1), pages 133-157, February.
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  8. Minot, Nicholas & Baulch, Bob, 2002. "The spatial distribution of poverty in Vietnam and the potential for targeting," MTID discussion papers 42, International Food Policy Research Institute (IFPRI).
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  12. Nelson, C. & Startz, R., 1988. "Some Furthere Results On The Exact Small Sample Properties Of The Instrumental Variable Estimator," Discussion Papers in Economics at the University of Washington 88-06, Department of Economics at the University of Washington.
  13. Glewwe, Paul & Jacoby, Hanan G., 2004. "Economic growth and the demand for education: is there a wealth effect?," Journal of Development Economics, Elsevier, vol. 74(1), pages 33-51, June.
  14. Fersterer, Josef & Winter-Ebmer, Rudolf, 2003. "Smoking, discount rates, and returns to education," Economics of Education Review, Elsevier, vol. 22(6), pages 561-566, December.
  15. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
  16. Orley Ashenfelter & Alan Krueger, 1992. "Estimates of the Economic Return to Schooling from a New Sample of Twins," Working Papers 683, Princeton University, Department of Economics, Industrial Relations Section..
  17. Margaret Maurer-Fazio & Ngan Dinh, 2002. "Differential Rewards to, and Contributions of, Education in Urban China’s Segmented Labor Markets," William Davidson Institute Working Papers Series 508, William Davidson Institute at the University of Michigan.
  18. Buse, A, 1992. "The Bias of Instrumental Variable Estimators," Econometrica, Econometric Society, vol. 60(1), pages 173-80, January.
  19. Orley Ashenfelter & Cecilia Rouse, 1997. "Income, Schooling, and Ability: Evidence from a New Sample of Identical Twins," NBER Working Papers 6106, National Bureau of Economic Research, Inc.
  20. Bound, John & Solon, Gary, 1999. "Double trouble: on the value of twins-based estimation of the return to schooling," Economics of Education Review, Elsevier, vol. 18(2), pages 169-182, April.
  21. Breusch, Trevor S & Mizon, Grayham E & Schmidt, Peter, 1989. "Efficient Estimation Using Panel Data," Econometrica, Econometric Society, vol. 57(3), pages 695-700, May.
  22. Orley Ashenfelter & Colm Harmon & Hessel Oosterbeek, 2000. "A Review of Estimates of the Schooling/Earnings Relationship, with Tests for Publication Bias," NBER Working Papers 7457, National Bureau of Economic Research, Inc.
  23. Moock, Peter R. & Patrinos, Harry Anthony & Venkataraman, Meera, 2003. "Education and earnings in a transition economy: the case of Vietnam," Economics of Education Review, Elsevier, vol. 22(5), pages 503-510, October.
  24. Boissiere, M & Knight, J B & Sabot, R H, 1985. "Earnings, Schooling, Ability, and Cognitive Skills," American Economic Review, American Economic Association, vol. 75(5), pages 1016-30, December.
  25. Donald, Stephen G & Newey, Whitney K, 2001. "Choosing the Number of Instruments," Econometrica, Econometric Society, vol. 69(5), pages 1161-91, September.
  26. Costas Meghir & Mårten Palme, 1999. "Assessing the effect of schooling on earnings using a social experiment," IFS Working Papers W99/10, Institute for Fiscal Studies.
  27. Behrman, Jere R & Rosenzweig, Mark R & Taubman, Paul, 1994. "Endowments and the Allocation of Schooling in the Family and in the Marriage Market: The Twins Experiment," Journal of Political Economy, University of Chicago Press, vol. 102(6), pages 1131-74, December.
  28. Amemiya, Takeshi & MaCurdy, Thomas E, 1986. "Instrumental-Variable Estimation of an Error-Components Model," Econometrica, Econometric Society, vol. 54(4), pages 869-80, July.
  29. Ichino, Andrea & Winter-Ebmer, Rudolf, 1999. "Lower and upper bounds of returns to schooling: An exercise in IV estimation with different instruments," European Economic Review, Elsevier, vol. 43(4-6), pages 889-901, April.
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