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The effect of college curriculum on earnings: An affinity identifier for non-ignorable non-response bias

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  • Hamermesh, Daniel S.
  • Donald, Stephen G.

Abstract

We link information on graduates from many cohorts to their high-school and college records and demographics to infer the impact of college major on earnings. We develop an estimator to handle potential non-response bias and identify non-response using an affinity measure--the potential respondent's link to the survey organization. This technique is generally applicable for adjusting for unit non-response. In the earnings model estimated using the identified (for non-response bias) selectivity adjustments, adjusted earnings differentials across college majors are below half as large as unadjusted differentials and ten percent smaller than those that do not account for selective non-response.

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  • Hamermesh, Daniel S. & Donald, Stephen G., 2008. "The effect of college curriculum on earnings: An affinity identifier for non-ignorable non-response bias," Journal of Econometrics, Elsevier, vol. 144(2), pages 479-491, June.
    • Handle: RePEc:eee:econom:v:144:y:2008:i:2:p:479-491
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    1. Jeffrey E. Zabel, 1998. "An Analysis of Attrition in the Panel Study of Income Dynamics and the Survey of Income and Program Participation with an Application to a Model of Labor Market Behavior," Journal of Human Resources, University of Wisconsin Press, vol. 33(2), pages 479-506.
    2. John C. Ham, 1982. "Estimation of a Labour Supply Model with Censoring Due to Unemployment and Underemployment," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 49(3), pages 335-354.
    3. James J. Heckman, 1976. "The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 475-492, National Bureau of Economic Research, Inc.
    4. Dan A. Black & Seth Sanders & Lowell Taylor, 2003. "The Economic Reward for Studying Economics," Economic Inquiry, Western Economic Association International, vol. 41(3), pages 365-377, July.
    5. Olsen, Randall J, 1980. "A Least Squares Correction for Selectivity Bias," Econometrica, Econometric Society, vol. 48(7), pages 1815-1820, November.
    6. Joseph G. Altonji, 1995. "The Effects of High School Curriculum on Education and Labor Market Outcomes," Journal of Human Resources, University of Wisconsin Press, vol. 30(3), pages 409-438.
    7. Francis Vella, 1998. "Estimating Models with Sample Selection Bias: A Survey," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 127-169.
    8. Koenker,Roger, 2005. "Quantile Regression," Cambridge Books, Cambridge University Press, number 9780521845731, January.
    9. Gronau, Reuben, 1974. "Wage Comparisons-A Selectivity Bias," Journal of Political Economy, University of Chicago Press, vol. 82(6), pages 1119-1143, Nov.-Dec..
    10. Arcidiacono, Peter, 2004. "Ability sorting and the returns to college major," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 343-375.
    11. Wise, David A, 1975. "Academic Achievement and Job Performance," American Economic Review, American Economic Association, vol. 65(3), pages 350-366, June.
    12. Mitali Das & Whitney K. Newey & Francis Vella, 2003. "Nonparametric Estimation of Sample Selection Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(1), pages 33-58.
    13. Jeff Grogger & Eric Eide, 1995. "Changes in College Skills and the Rise in the College Wage Premium," Journal of Human Resources, University of Wisconsin Press, vol. 30(2), pages 280-310.
    14. Gordon Dahl, 1997. "Mobility and the Returns to Education: Testing A Roy Model With Multiple Markets," Working Papers 760, Princeton University, Department of Economics, Industrial Relations Section..
    15. Sam Allgood & William Bosshardt & Wilbert van der Klaauw & Michael Watts, 2004. "What Students Remember and Say about College Economics Years Later," American Economic Review, American Economic Association, vol. 94(2), pages 259-265, May.
    16. Heather Rose & Julian R. Betts, 2004. "The Effect of High School Courses on Earnings," The Review of Economics and Statistics, MIT Press, vol. 86(2), pages 497-513, May.
    17. Moshe Buchinsky, 1998. "The dynamics of changes in the female wage distribution in the USA: a quantile regression approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 13(1), pages 1-30.
    18. Bronars, Stephen G & Grogger, Jeff, 1994. "The Economic Consequences of Unwed Motherhood: Using Twin Births as a Natural Experiment," American Economic Review, American Economic Association, vol. 84(5), pages 1141-1156, December.
    19. Ahn, Hyungtaik & Powell, James L., 1993. "Semiparametric estimation of censored selection models with a nonparametric selection mechanism," Journal of Econometrics, Elsevier, vol. 58(1-2), pages 3-29, July.
    20. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    21. Biddle, Jeff E & Zarkin, Gary A, 1989. "Choice among Wage-Hours Packages: An Empirical Investigation of Male Labor Supply," Journal of Labor Economics, University of Chicago Press, vol. 7(4), pages 415-437, October.
    22. Gordon B. Dahl, 2002. "Mobility and the Return to Education: Testing a Roy Model with Multiple Markets," Econometrica, Econometric Society, vol. 70(6), pages 2367-2420, November.
    23. Sarah E. Turner & William G. Bowen, 1999. "Choice of Major: The Changing (Unchanging) Gender Gap," ILR Review, Cornell University, ILR School, vol. 52(2), pages 289-313, January.
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