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Affirmative Action in Higher Education in India: Targeting, Catch Up, and Mismatch

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  • Verónica C. Frisancho Robles
  • Kala Krishna

Abstract

Affirmative action policies in higher education are used in many countries to try to socially advance historically disadvantaged minorities. Although the underlying social objectives of these policies are rarely criticized, there is intense debate over the actual impact of such preferences in higher education on educational performance and labor outcomes. Most of the work uses U.S. data where clean performance indicators are hard to find. Using a remarkably detailed dataset on the 2008 graduating class from an elite engineering institution (EEI) in India we evaluate the impact of affirmative action policies in higher education on minority students focusing on three central issues in the current debate: targeting, catch up, and mismatch. In addition, we present preliminary evidence on labor market discrimination. We find that admission preferences effectively target minority students who are poorer than the average displaced non-minority student. Moreover, by analyzing the college performance of minority and non-minority students as they progress through college, we find that scheduled caste and scheduled tribe students, especially those in more selective majors, fall behind their same-major peers which is the opposite of catching up. We also identify evidence in favor of the mismatch hypothesis: once we control for selection into majors, minority students who enrol in more selective majors as a consequence of admission preferences end up earning less than if they would have had if they had chosen a less selective major. Finally, although there is no evidence of discrimination against minority students in terms of wages, we find that scheduled caste and scheduled tribe students are more likely to get worse jobs, even after controlling for selection.

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Bibliographic Info

Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 17727.

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Date of creation: Jan 2012
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Handle: RePEc:nbr:nberwo:17727

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  1. Peter Arcidiacono, 2005. "Affirmative Action in Higher Education: How Do Admission and Financial Aid Rules Affect Future Earnings?," Econometrica, Econometric Society, vol. 73(5), pages 1477-1524, 09.
  2. 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.
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Cited by:
  1. S. Pelin Akyol & Verónica Frisancho & Kala M. Krishna & Cemile Yavas, 2013. "Preferences, Selection, and Value Added: A Structural Approach Applied to Turkish Exam High Schools," CESifo Working Paper Series 4302, CESifo Group Munich.
  2. Kala Krishna & Sergey Lychagin & Cemile Yavas & Veronica Frisancho, 2014. "Better Luck Next Time: Learning through Retaking," Research Department Publications IDB-WP-483, Inter-American Development Bank, Research Department.
  3. Alon, Sigal & Malamud, Ofer, 2014. "The impact of Israel's class-based affirmative action policy on admission and academic outcomes," Economics of Education Review, Elsevier, vol. 40(C), pages 123-139.
  4. Saziye P. Akyol & Kala Krishna, 2014. "Preferences, Selection, and Value Added: A Structural Approach," NBER Working Papers 20013, National Bureau of Economic Research, Inc.
  5. Krishna, Kala & Tarasov, Alexander, 2013. "Affirmative Action: One Size Does Not Fit All," Discussion Paper Series of SFB/TR 15 Governance and the Efficiency of Economic Systems 407, Free University of Berlin, Humboldt University of Berlin, University of Bonn, University of Mannheim, University of Munich.
  6. Richard Murphy & Felix Weinhardt, 2013. "The Importance of Rank Position," CEP Discussion Papers dp1241, Centre for Economic Performance, LSE.

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