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Mismatch in Law School

  • Jesse Rothstein
  • Albert Yoon

An important criticism of race-based higher education admission preferences is that they may hurt minority students who attend more selective schools than they would in the absence of such preferences. We categorize the non-experimental research designs available for the study of so-called "mismatch" effects and evaluate the likely biases in each. We select two comparisons and use them to examine mismatch effects in law school. We find no evidence of mismatch effects on any students' employment outcomes or on the graduation or bar passage rates of black students with moderate or strong entering credentials. What evidence there is for mismatch comes from less-qualified black students who typically attend second- or third-tier schools. Many of these students would not have been admitted to any law school without preferences, however, and the resulting sample selection prevents strong conclusions.

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File URL: http://www.nber.org/papers/w14275.pdf
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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 14275.

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Date of creation: Aug 2008
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Handle: RePEc:nbr:nberwo:14275
Note: CH ED LE LS
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  1. Rothstein, J.M.Jesse M., 2004. "College performance predictions and the SAT," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 297-317.
  2. repec:pri:cepsud:123rothstein is not listed on IDEAS
  3. Stacy Berg Dale & Alan B. Krueger, 1999. "Estimating the Payoff to Attending a More Selective College: An Application of Selection on Observables and Unobservables," NBER Working Papers 7322, National Bureau of Economic Research, Inc.
  4. Barsky R. & Bound J. & Charles K.K. & Lupton J.P., 2002. "Accounting for the Black-White Wealth Gap: A Nonparametric Approach," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 663-673, September.
  5. DiNardo, John & Fortin, Nicole M & Lemieux, Thomas, 1996. "Labor Market Institutions and the Distribution of Wages, 1973-1992: A Semiparametric Approach," Econometrica, Econometric Society, vol. 64(5), pages 1001-44, September.
  6. Jesse Rothstein & Albert H. Yoon, 2008. "Affirmative Action in Law School Admissions: What Do Racial Preferences Do?," NBER Working Papers 14276, National Bureau of Economic Research, Inc.
  7. Harry Holzer & David Neumark, 1999. "Assessing Affirmative Action," NBER Working Papers 7323, National Bureau of Economic Research, Inc.
  8. repec:pri:cepsud:108krueger is not listed on IDEAS
  9. Joshua D. Angrist & Guido W. Imbens, 1995. "Identification and Estimation of Local Average Treatment Effects," NBER Technical Working Papers 0118, National Bureau of Economic Research, Inc.
  10. Keisuke Hirano & Guido W. Imbens & Geert Ridder, 2000. "Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score," NBER Technical Working Papers 0251, National Bureau of Economic Research, Inc.
  11. 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.
  12. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
  13. Alan B. Krueger & Jesse Rothstein & Sarah Turner, 2004. "Race, Income and College in 25 Years: The Continuing Legacy of Segregation and Discrimination," Working Papers 9, Princeton University, Woodrow Wilson School of Public and International Affairs, Education Research Section..
  14. Jinyong Hahn, 1998. "On the Role of the Propensity Score in Efficient Semiparametric Estimation of Average Treatment Effects," Econometrica, Econometric Society, vol. 66(2), pages 315-332, March.
  15. 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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