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Are University Admissions Academically Fair?

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  • Debopam Bhattacharya
  • Shin Kanaya
  • Margaret Stevens

Abstract

High-profile universities often face public criticism for undermining academic merit and promoting social elitism/engineering through their admissions-process. In this paper, we develop an empirical test for whether access to selective universities is meritocratic. We assume that students who are better-qualified on standard observable indicators would on average, but not necessarily with certainty, appear academically stronger to admission-tutors based on characteristics observable to them but not us. This assumption can be used to reveal information about the sign and magnitude of differences in admission standards across demographic groups which are robust to omitted characteristics. Using admissions-data from a selective British university, we provide empirical support for our identifying assumptions and then apply our analysis to show that males and private school applicants face higher admission-standards, although application success-rates are equal across gender and school-type. Our methods are potentially useful for testing outcome-based fairness of other binary treatment decisions, such as mortgage approval, where eventual outcomes are observed for those who were treated.

Suggested Citation

  • Debopam Bhattacharya & Shin Kanaya & Margaret Stevens, 2012. "Are University Admissions Academically Fair?," Economics Series Working Papers 608, University of Oxford, Department of Economics.
  • Handle: RePEc:oxf:wpaper:608
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    1. Anwar Shamena & Fang Hanming, 2012. "Testing for the Role of Prejudice in Emergency Departments Using Bounceback Rates," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 13(3), pages 1-49, December.
    2. Kate Antonovics & Brian G. Knight, 2009. "A New Look at Racial Profiling: Evidence from the Boston Police Department," The Review of Economics and Statistics, MIT Press, vol. 91(1), pages 163-177, February.
    3. Pedro Carneiro & James J. Heckman & Edward Vytlacil, 2010. "Evaluating Marginal Policy Changes and the Average Effect of Treatment for Individuals at the Margin," Econometrica, Econometric Society, vol. 78(1), pages 377-394, January.
    4. Amitabh Chandra & Douglas O. Staiger, 2010. "Identifying Provider Prejudice in Healthcare," NBER Working Papers 16382, National Bureau of Economic Research, Inc.
    5. Nicola Persico, 2009. "Racial Profiling? Detecting Bias Using Statistical Evidence," Annual Review of Economics, Annual Reviews, vol. 1(1), pages 229-254, May.
    6. Victor Chernozhukov & Sokbae Lee & Adam M. Rosen, 2013. "Intersection Bounds: Estimation and Inference," Econometrica, Econometric Society, vol. 81(2), pages 667-737, March.
    7. David Card & Alan B. Krueger, 2005. "Would the Elimination of Affirmative Action Affect Highly Qualified Minority Applicants? Evidence from California and Texas," ILR Review, Cornell University, ILR School, vol. 58(3), pages 416-434, April.
    8. Scott E. Carrell & Bruce I. Sacerdote & James E. West, 2011. "From Natural Variation to Optimal Policy? The Lucas Critique Meets Peer Effects," NBER Working Papers 16865, National Bureau of Economic Research, Inc.
    9. Peter Arcidiacono & Esteban M. Aucejo & Hanming Fang & Kenneth I. Spenner, 2011. "Does affirmative action lead to mismatch? A new test and evidence," Quantitative Economics, Econometric Society, vol. 2(3), pages 303-333, November.
    10. Pagan,Adrian & Ullah,Aman, 1999. "Nonparametric Econometrics," Cambridge Books, Cambridge University Press, number 9780521355643.
    11. John Knowles & Nicola Persico & Petra Todd, 2001. "Racial Bias in Motor Vehicle Searches: Theory and Evidence," Journal of Political Economy, University of Chicago Press, vol. 109(1), pages 203-232, February.
    12. Kristensen, Dennis, 2009. "Uniform Convergence Rates Of Kernel Estimators With Heterogeneous Dependent Data," Econometric Theory, Cambridge University Press, vol. 25(5), pages 1433-1445, October.
    13. Kanaya, Shin, 2017. "Uniform Convergence Rates Of Kernel-Based Nonparametric Estimators For Continuous Time Diffusion Processes: A Damping Function Approach," Econometric Theory, Cambridge University Press, vol. 33(4), pages 874-914, August.
    14. Bhattacharya, Debopam, 2013. "Evaluating treatment protocols using data combination," Journal of Econometrics, Elsevier, vol. 173(2), pages 160-174.
    15. Nikolay Gospodinov & Masayuki Hirukawa, 2008. "Nonparametric Estimation of Scalar Diffusion Processes of Interest Rates Using Asymmetric Kernels," Working Papers 08011, Concordia University, Department of Economics, revised Dec 2008.
    16. Bhattacharya, Debopam, 2009. "Inferring Optimal Peer Assignment From Experimental Data," Journal of the American Statistical Association, American Statistical Association, vol. 104(486), pages 486-500.
    17. Rilstone, Paul, 1996. "Nonparametric Estimation of Models with Generated Regressors," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 37(2), pages 299-313, May.
    18. Roland G. Fryer Jr. & Glenn C. Loury, 2005. "Affirmative Action and Its Mythology," Journal of Economic Perspectives, American Economic Association, vol. 19(3), pages 147-162, Summer.
    19. Charles F. Manski, 2004. "Statistical Treatment Rules for Heterogeneous Populations," Econometrica, Econometric Society, vol. 72(4), pages 1221-1246, July.
    20. Bouezmarni, Taoufik & Scaillet, Olivier, 2005. "Consistency Of Asymmetric Kernel Density Estimators And Smoothed Histograms With Application To Income Data," Econometric Theory, Cambridge University Press, vol. 21(2), pages 390-412, April.
    21. Hanming Fang & Andrea Moro, 2010. "Theories of Statistical Discrimination and Affirmative Action: A Survey," NBER Working Papers 15860, National Bureau of Economic Research, Inc.
    22. Marianne Bertrand & Sendhil Mullainathan, 2004. "Are Emily and Greg More Employable Than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination," American Economic Review, American Economic Association, vol. 94(4), pages 991-1013, September.
    23. Kathryn Graddy & Margaret Stevens, 2005. "The Impact of School Resources on Student Performance: A Study of Private Schools in the United Kingdom," ILR Review, Cornell University, ILR School, vol. 58(3), pages 435-451, April.
    24. Rothstein, Jesse M, 2004. "College performance predictions and the SAT," Department of Economics, Working Paper Series qt59s4j4m4, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    25. Hansen, Bruce E., 2008. "Uniform Convergence Rates For Kernel Estimation With Dependent Data," Econometric Theory, Cambridge University Press, vol. 24(3), pages 726-748, June.
    26. James J. Heckman, 1998. "Detecting Discrimination," Journal of Economic Perspectives, American Economic Association, vol. 12(2), pages 101-116, Spring.
    27. Grogger, Jeffrey & Ridgeway, Greg, 2006. "Testing for Racial Profiling in Traffic Stops From Behind a Veil of Darkness," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 878-887, September.
    28. 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.
    29. Caroline M. Hoxby, 2009. "The Changing Selectivity of American Colleges," Journal of Economic Perspectives, American Economic Association, vol. 23(4), pages 95-118, Fall.
    30. Altonji, Joseph G. & Blank, Rebecca M., 1999. "Race and gender in the labor market," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 48, pages 3143-3259, Elsevier.
    31. Greenstone, Michael & Gayer, Ted, 2009. "Quasi-experimental and experimental approaches to environmental economics," Journal of Environmental Economics and Management, Elsevier, vol. 57(1), pages 21-44, January.
    32. Bhattacharya, Debopam & Dupas, Pascaline, 2012. "Inferring welfare maximizing treatment assignment under budget constraints," Journal of Econometrics, Elsevier, vol. 167(1), pages 168-196.
    33. Roland Fryer & Glenn C. Loury & Tolga Yuret, 2003. "Color-Blind Affirmative Action," NBER Working Papers 10103, National Bureau of Economic Research, Inc.
    34. Enno Mammen & Christoph Rothe & Melanie Schienle, 2010. "Nonparametric Regression with Nonparametrically Generated Covariates," SFB 649 Discussion Papers SFB649DP2010-059, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    35. Gospodinov, Nikolay & Hirukawa, Masayuki, 2012. "Nonparametric estimation of scalar diffusion models of interest rates using asymmetric kernels," Journal of Empirical Finance, Elsevier, vol. 19(4), pages 595-609.
    36. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
    37. Margaret Stevens & Kathryn Graddy, 2003. "The Impact of School Inputs on Student Performance: An Empirical Study of Private Schools in the United Kingdom," Economics Series Working Papers 146, University of Oxford, Department of Economics.
    38. Elias Masry, 1996. "Multivariate Local Polynomial Regression For Time Series:Uniform Strong Consistency And Rates," Journal of Time Series Analysis, Wiley Blackwell, vol. 17(6), pages 571-599, November.
    39. Manski, Charles F., 1975. "Maximum score estimation of the stochastic utility model of choice," Journal of Econometrics, Elsevier, vol. 3(3), pages 205-228, August.
    40. Rothstein, J.M.Jesse M., 2004. "College performance predictions and the SAT," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 297-317.
    41. Peter Arcidiacono & Esteban Aucejo & Ken Spenner, 2012. "What happens after enrollment? An analysis of the time path of racial differences in GPA and major choice," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 1(1), pages 1-24, December.
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    Cited by:

    1. Arcidiacono, Peter & Kinsler, Josh & Ransom, Tyler, 2022. "Asian American Discrimination in Harvard Admissions," European Economic Review, Elsevier, vol. 144(C).
    2. Karlsson, Linn & Wikström, Magnus, 2021. "Gender differences in admission scores and first-year university achievement," Umeå Economic Studies 1001, Umeå University, Department of Economics.
    3. Bhattacharya, D. & Shvets, J., 2022. "Inferring the Performance Diversity Trade-Off in University Admissions: Evidence from Cambridge," Cambridge Working Papers in Economics 2238, Faculty of Economics, University of Cambridge.
    4. Bhattacharya, Debopam, 2013. "Evaluating treatment protocols using data combination," Journal of Econometrics, Elsevier, vol. 173(2), pages 160-174.
    5. Bhattacharya, D. & Rabovic, R., 2020. "Do Elite Universities Practise Meritocratic Admissions? Evidence from Cambridge," Cambridge Working Papers in Economics 2056, Faculty of Economics, University of Cambridge.
    6. Sevilla, Almudena & Borra, Cristina, 2015. "Parental Time Investments in Children: The Role of Competition for University Places in the UK," IZA Discussion Papers 9168, Institute of Labor Economics (IZA).

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    More about this item

    Keywords

    University admissions; affirmative action; economic efficiency; marginal admit; unobserved heterogeneity; threshold-crossing model; conditional stochastic dominance; partial identification;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • 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

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