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Does affirmative action lead to mismatch? A new test and evidence

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

Abstract

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 off 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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Bibliographic Info

Article provided by Econometric Society in its journal Quantitative Economics.

Volume (Year): 2 (2011)
Issue (Month): 3 (November)
Pages: 303-333

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Handle: RePEc:ecm:quante:v:2:y:2011:i:3:p:303-333

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  1. 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.
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Citations

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Cited by:
  1. Peter Arcidiacono & Esteban Aucejo & Patrick Coate & V. Joseph Hotz, 2013. "Affirmative action and university fit: evidence from Proposition 209," LSE Research Online Documents on Economics 51565, London School of Economics and Political Science, LSE Library.
  2. Debopam Bhattacharya & Shin Kanaya & Margaret Stevens, 2014. "Are University Admissions Academically Fair?," CREATES Research Papers 2014-06, School of Economics and Management, University of Aarhus.
  3. Peter Arcidiacono & V. Joseph Hotz & Songman Kang, 2010. "Modeling College Major Choices using Elicited Measures of Expectations and Counterfactuals," NBER Working Papers 15729, National Bureau of Economic Research, Inc.
  4. Peter Arcidiacono & Esteban Aucejo & Patrick Coate & V. Joseph Hotz, 2012. "Affirmative Action and University Fit: Evidence from Proposition 209," NBER Working Papers 18523, National Bureau of Economic Research, Inc.
  5. Eric Parsons, 2014. "The Impact of Attending Low-Achieving Schools on High-Performing Student Outcomes," Working Papers 1407, Department of Economics, University of Missouri.
  6. Basit Zafar, 2011. "How Do College Students Form Expectations?," Journal of Labor Economics, University of Chicago Press, vol. 29(2), pages 301 - 348.
  7. Peter Arcidiacono & Esteban Aucejo & V. Joseph Hotz, 2013. "University differences in the graduation of minorities in STEM fields: evidence from California," LSE Research Online Documents on Economics 51564, London School of Economics and Political Science, LSE Library.
  8. Arcidiacono, Peter & Aucejo, Esteban & Hotz, V. Joseph, 2013. "University Differences in the Graduation of Minorities in STEM Fields: Evidence from California," IZA Discussion Papers 7227, Institute for the Study of Labor (IZA).

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