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Are University Admissions Academically Fair?

  • Debopam Bhattacharya
  • Shin Kanaya
  • Margaret Stevens

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.

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File URL: http://www.economics.ox.ac.uk/materials/papers/12041/paper608.pdf
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Paper provided by University of Oxford, Department of Economics in its series Economics Series Working Papers with number 608.

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Date of creation: 01 Jun 2012
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Handle: RePEc:oxf:wpaper:608
Contact details of provider: Postal: Manor Rd. Building, Oxford, OX1 3UQ
Web page: http://www.economics.ox.ac.uk/
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  1. Pedro Carneiro & James J. Heckman & Edward J. Vytlacil, 2009. "Evaluating Marginal Policy Changes and the Average Effect of Treatment for Individuals at the Margin," NBER Working Papers 15211, National Bureau of Economic Research, Inc.
  2. 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(02), pages 390-412, April.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. Hansen, Bruce E., 2008. "Uniform Convergence Rates For Kernel Estimation With Dependent Data," Econometric Theory, Cambridge University Press, vol. 24(03), pages 726-748, June.
  9. 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.
  10. Marianne Bertrand & Sendhil Mullainathan, 2003. "Are emily and greg more employable than lakisha and jamal? A field experiment on labor market discrimination," Natural Field Experiments 00216, The Field Experiments Website.
  11. Dennis Kristensen, 2008. "Uniform Convergence Rates of Kernel Estimators with Heterogenous, Dependent Data," CREATES Research Papers 2008-37, School of Economics and Management, University of Aarhus.
  12. 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.
  13. Caroline M. Hoxby, 2009. "The Changing Selectivity of American Colleges," NBER Working Papers 15446, National Bureau of Economic Research, Inc.
  14. Bhattacharya, Debopam, 2013. "Evaluating treatment protocols using data combination," Journal of Econometrics, Elsevier, vol. 173(2), pages 160-174.
  15. Nicola Persico, 2009. "Racial Profiling? Detecting Bias Using Statistical Evidence," Annual Review of Economics, Annual Reviews, vol. 1(1), pages 229-254, 05.
  16. Kate L. Antonovics & Brian G. Knight, 2004. "A New Look at Racial Profiling: Evidence from the Boston Police Department," NBER Working Papers 10634, National Bureau of Economic Research, Inc.
  17. Pagan,Adrian & Ullah,Aman, 1999. "Nonparametric Econometrics," Cambridge Books, Cambridge University Press, number 9780521355643.
  18. 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.
  19. James J. Heckman, 1998. "Detecting Discrimination," Journal of Economic Perspectives, American Economic Association, vol. 12(2), pages 101-116, Spring.
  20. 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.
  21. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
  22. Roland G. Fryer, Jr. & Glenn C. Loury, 2005. "Affirmative Action and Its Mythology," NBER Working Papers 11464, National Bureau of Economic Research, Inc.
  23. Charles F. Manski, 2004. "Statistical Treatment Rules for Heterogeneous Populations," Econometrica, Econometric Society, vol. 72(4), pages 1221-1246, 07.
  24. Bhattacharya, Debopam & Dupas, Pascaline, 2012. "Inferring welfare maximizing treatment assignment under budget constraints," Journal of Econometrics, Elsevier, vol. 167(1), pages 168-196.
  25. Roland Fryer & Glenn C. Loury & Tolga Yuret, 2003. "Color-Blind Affirmative Action," NBER Working Papers 10103, National Bureau of Economic Research, Inc.
  26. Peter Arcidiacono & Esteban M. Aucejo & Hanming Fang & Kenneth I. Spenner, 2009. "Does Affirmative Action Lead to Mismatch? A New Test and Evidence," NBER Working Papers 14885, National Bureau of Economic Research, Inc.
  27. Michael Greenstone & Ted Gayer, 2007. "Quasi-Experimental and Experimental Approaches to Environmental Economics," Working Papers 0713, Massachusetts Institute of Technology, Center for Energy and Environmental Policy Research.
  28. Hanming Fang & Andrea Moro, 2010. "Theories of Statistical Discrimination and Affirmative Action: A Survey," NBER Working Papers 15860, National Bureau of Economic Research, Inc.
  29. 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.
  30. Rothstein, J.M.Jesse M., 2004. "College performance predictions and the SAT," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 297-317.
  31. Amitabh Chandra & Douglas O. Staiger, 2010. "Identifying Provider Prejudice in Healthcare," NBER Working Papers 16382, National Bureau of Economic Research, Inc.
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