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Does Affirmative Action Lead to Mismatch? A New Test and Evidence

  • Peter Arcidiacono
  • Esteban M. Aucejo
  • Hanming Fang
  • Kenneth I. Spenner

We argue that once we take into account the students' rational enrollment decisions, mismatch in the sense that the intended beneficiary of affirmative action admission policies are made worse o could occur only if selective universities possess private information about students' post-enrollment treatment effects. This necessary condition for mismatch provides the basis for a new test. We propose an empirical methodology to test for private information in such a setting. The test is implemented using data from Campus Life and Learning Project (CLL) at Duke. Evidence shows that Duke does possess private information that is a statistically significant predictor of the students' post-enrollment academic performance. We also propose strategies to evaluate more conclusively whether the evidence of Duke private information has generated mismatch.

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Paper provided by Duke University, Department of Economics in its series Working Papers with number 10-26.

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Length: 34
Date of creation: 2010
Date of revision:
Handle: RePEc:duk:dukeec:10-26
Contact details of provider: Postal: Department of Economics Duke University 213 Social Sciences Building Box 90097 Durham, NC 27708-0097
Phone: (919) 660-1800
Fax: (919) 684-8974
Web page: http://econ.duke.edu/

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  1. Fang, Hanming & Keane, Michael & Silverman, Dan, 2006. "Sources of Advantageous Selection: Evidence from the Medigap Insurance Market," Working Papers 17, Yale University, Department of Economics.
  2. Amy Finkelstein & James Poterba, 2004. "Adverse Selection in Insurance Markets: Policyholder Evidence from the U.K. Annuity Market," Journal of Political Economy, University of Chicago Press, vol. 112(1), pages 183-208, February.
  3. repec:rje:randje:v:37:y:2006:i:4:p:783-798 is not listed on IDEAS
  4. Stacy Berg Dale & Alan Krueger, 1998. "Estimating the Payoff to Attending a More Selective College: An Application of Selection on Observables and Unobservables," Working Papers 788, Princeton University, Department of Economics, Industrial Relations Section..
  5. Flavio Cunha & James Heckman & Salvador Navarro, 2005. "Separating uncertainty from heterogeneity in life cycle earnings," Oxford Economic Papers, Oxford University Press, vol. 57(2), pages 191-261, April.
  6. Cardon, James H & Hendel, Igal, 2001. "Asymmetric Information in Health Insurance: Evidence from the National Medical Expenditure Survey," RAND Journal of Economics, The RAND Corporation, vol. 32(3), pages 408-27, Autumn.
  7. Loury, Linda Datcher & Garman, David, 1995. "College Selectivity and Earnings," Journal of Labor Economics, University of Chicago Press, vol. 13(2), pages 289-308, April.
  8. Pierre‐André Chiappori & Bruno Jullien & Bernard Salanié & François Salanié, 2006. "Asymmetric information in insurance: general testable implications," RAND Journal of Economics, RAND Corporation, vol. 37(4), pages 783-798, December.
  9. Todd Stinebrickner & Ralph Stinebrickner, 2012. "Learning about Academic Ability and the College Dropout Decision," Journal of Labor Economics, University of Chicago Press, vol. 30(4), pages 707 - 748.
  10. Jesse Rothstein & Albert Yoon, 2006. "Mismatch in Law School," Working Papers 79, Princeton University, Department of Economics, Center for Economic Policy Studies..
  11. Peter Arcidiacono & Jacob L. Vigdor, 2010. "Does The River Spill Over? Estimating The Economic Returns To Attending A Racially Diverse College," Economic Inquiry, Western Economic Association International, vol. 48(3), pages 537-557, 07.
  12. Arcidiacono, Peter & Khan, Shakeeb & Vigdor, Jacob L., 2011. "Representation versus assimilation: How do preferences in college admissions affect social interactions?," Journal of Public Economics, Elsevier, vol. 95(1-2), pages 1-15, February.
  13. Wilson, Charles, 1977. "A model of insurance markets with incomplete information," Journal of Economic Theory, Elsevier, vol. 16(2), pages 167-207, December.
  14. Pauly, Mark V, 1974. "Overinsurance and Public Provision of Insurance: The Roles of Moral Hazard and Adverse Selection," The Quarterly Journal of Economics, MIT Press, vol. 88(1), pages 44-62, February.
  15. Tomas Philipson & John Cawley, 1999. "An Empirical Examination of Information Barriers to Trade in Insurance," American Economic Review, American Economic Association, vol. 89(4), pages 827-846, September.
  16. Li, Tong & Vuong, Quang, 1998. "Nonparametric Estimation of the Measurement Error Model Using Multiple Indicators," Journal of Multivariate Analysis, Elsevier, vol. 65(2), pages 139-165, May.
  17. Amy Finkelstein & Kathleen McGarry, 2006. "Multiple Dimensions of Private Information: Evidence from the Long-Term Care Insurance Market," American Economic Review, American Economic Association, vol. 96(4), pages 938-958, September.
  18. Johanne Boisjoly & Greg J. Duncan & Michael Kremer & Dan M. Levy & Jacque Eccles, 2006. "Empathy or Antipathy? The Impact of Diversity," American Economic Review, American Economic Association, vol. 96(5), pages 1890-1905, December.
  19. Rothschild, Michael & Stiglitz, Joseph E, 1976. "Equilibrium in Competitive Insurance Markets: An Essay on the Economics of Imperfect Information," The Quarterly Journal of Economics, MIT Press, vol. 90(4), pages 630-49, November.
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