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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.

Suggested Citation

  • Verónica C. Frisancho Robles & Kala Krishna, 2012. "Affirmative Action in Higher Education in India: Targeting, Catch Up, and Mismatch," NBER Working Papers 17727, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:17727
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    1. Joseph G. Altonji & Todd E. Elder & Christopher R. Taber, 2005. "Selection on Observed and Unobserved Variables: Assessing the Effectiveness of Catholic Schools," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 151-184, February.
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    Cited by:

    1. Cassan, Guilhem, 2019. "Affirmative action, education and gender: Evidence from India," Journal of Development Economics, Elsevier, vol. 136(C), pages 51-70.
    2. Priscila S. dos Santos & Kalinca L. Becker & Sibele V. de Oliveira, 2023. "Race‐based affirmative action for higher education in Brazil: Impact assessment on performance, time, and delay in completion," Review of Development Economics, Wiley Blackwell, vol. 27(1), pages 247-267, February.
    3. Bobba, Matteo & Frisancho, Veronica, 2016. "Learning about Oneself: The Effects of Performance Feedback on School Choice," IZA Discussion Papers 10360, Institute of Labor Economics (IZA).
    4. Munshi, K., 2017. "Caste and the Indian Economy," Cambridge Working Papers in Economics 1759, Faculty of Economics, University of Cambridge.
    5. Guilherme Strifezzi Leal & Ã lvaro Choi, 2021. "Racial quotas in higher education and pre-college academic performance: Evidence from Brazil," UB School of Economics Working Papers 2021/411, University of Barcelona School of Economics.
    6. Surendrakumar Bagde & Dennis Epple & Lowell Taylor, 2016. "Does Affirmative Action Work? Caste, Gender, College Quality, and Academic Success in India," American Economic Review, American Economic Association, vol. 106(6), pages 1495-1521, June.
    7. Zenou, Yves & Islam, Asad & Pakrashi, Debayan & Wang, Liang Choon, 2018. "Determining the Extent of Statistical Discrimination: Evidence from a field experiment in India," CEPR Discussion Papers 12955, C.E.P.R. Discussion Papers.
    8. 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.
    9. Kala Krishna & Alexander Tarasov, 2016. "Affirmative Action: One Size Does Not Fit All," American Economic Journal: Microeconomics, American Economic Association, vol. 8(2), pages 215-252, May.
    10. 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.
    11. Deshpande, Ashwini & Weisskopf, Thomas E., 2014. "Does Affirmative Action Reduce Productivity? A Case Study of the Indian Railways," World Development, Elsevier, vol. 64(C), pages 169-180.
    12. Akyol, Pelin & Krishna, Kala, 2017. "Preferences, selection, and value added: A structural approach," European Economic Review, Elsevier, vol. 91(C), pages 89-117.
    13. Frisancho, Veronica & Krishna, Kala & Lychagin, Sergey & Yavas, Cemile, 2016. "Better luck next time: Learning through retaking," Journal of Economic Behavior & Organization, Elsevier, vol. 125(C), pages 120-135.
    14. Bobba, Matteo & Frisancho, Veronica & Pariguana, Marco, 2016. "Perceived Ability and School Choices: Experimental Evidence and Scale-up Effects," TSE Working Papers 16-660, Toulouse School of Economics (TSE), revised May 2023.
    15. Aramide Kazeem & John M. Musalia, 2017. "The Implications of Ethnicity, Gender, Urban–Rural Residence, and Socioeconomic Status for Progress Through School among Children in Nigeria," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 132(2), pages 861-884, June.
    16. Elizabeth Kaletski & Nishith Prakash, 2016. "Affirmative action policy in developing countries: Lessons learned and a way forward," WIDER Working Paper Series wp-2016-52, World Institute for Development Economic Research (UNU-WIDER).
    17. de Silva, Tiloka & Gothama, Supun & Premakumara, Priyantha, 2021. "Admissions quotas in university education: Targeting and mismatch under Sri Lanka’s affirmative action policy," International Journal of Educational Development, Elsevier, vol. 84(C).
    18. Henrique Z. Motte & Rodrigo Oliveira, 2020. "The effect of class assignment on academic performance and the labour market: Evidence from a public federal university in Brazil," WIDER Working Paper Series wp-2020-8, World Institute for Development Economic Research (UNU-WIDER).
    19. Francesca Marchetta & Tom Dilly, 2019. "Supporting Education in Africa: Opportunities and Challenges for an Impact Investor," Working Papers hal-02288103, HAL.
    20. Richard Murphy & Felix Weinhardt, 2013. "The Importance of Rank Position," CEP Discussion Papers dp1241, Centre for Economic Performance, LSE.

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    More about this item

    JEL classification:

    • I20 - Health, Education, and Welfare - - Education - - - General
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J7 - Labor and Demographic Economics - - Labor Discrimination

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