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Academic Outcomes and Texas’s Top Ten Percent Law

Author

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  • Eric Furstenberg

    (University of Virginia)

Abstract

In this article, the author estimates the causal effect of attending a selective college on a student’s academic performance. The results differ from previous studies because the author estimates a local effect, identified only for students who enroll in a selective college but would not have been able to do so without the guaranteed admissions granted to them by Texas’s Top Ten Percent Law. Differing from many previous studies, the author finds significant negative effects of attending a selective college on the following measures: first- and sixth-semester grade point average, probability of completing the sixth semester, and graduation probability.

Suggested Citation

  • Eric Furstenberg, 2010. "Academic Outcomes and Texas’s Top Ten Percent Law," The ANNALS of the American Academy of Political and Social Science, , vol. 627(1), pages 167-183, January.
    • Handle: RePEc:sae:anname:v:627:y:2010:i:1:p:167-183
    DOI: 10.1177/0002716209348750
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    References listed on IDEAS

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    1. Stacy Berg Dale & Alan B. Krueger, 2002. "Estimating the Payoff to Attending a More Selective College: An Application of Selection on Observables and Unobservables," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(4), pages 1491-1527.
    2. Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-475, March.
    3. Niu, Sunny Xinchun & Tienda, Marta & Cortes, Kalena, 2006. "College selectivity and the Texas top 10% law," Economics of Education Review, Elsevier, vol. 25(3), pages 259-272, June.
    4. David Card & Lara D. Shore-Sheppard, 2004. "Using Discontinuous Eligibility Rules to Identify the Effects of the Federal Medicaid Expansions on Low-Income Children," The Review of Economics and Statistics, MIT Press, vol. 86(3), pages 752-766, August.
    5. Imbens, Guido W. & Lemieux, Thomas, 2008. "Regression discontinuity designs: A guide to practice," Journal of Econometrics, Elsevier, vol. 142(2), pages 615-635, February.
    6. Sunny Xinchun Niu & Teresa Sullivan & Marta Tienda, 2008. "Minority Talent Loss and the Texas Top 10 Percent Law," Social Science Quarterly, Southwestern Social Science Association, vol. 89(4), pages 831-845, December.
    7. Lee, David S. & Card, David, 2008. "Regression discontinuity inference with specification error," Journal of Econometrics, Elsevier, vol. 142(2), pages 655-674, February.
    8. Dominic J. Brewer & Eric R. Eide & Ronald G. Ehrenberg, 1999. "Does It Pay to Attend an Elite Private College? Cross-Cohort Evidence on the Effects of College Type on Earnings," Journal of Human Resources, University of Wisconsin Press, vol. 34(1), pages 104-123.
    9. Jinyong Hahn & Petra Todd & Wilbert Van der Klaauw, 1999. "Evaluating the Effect of an Antidiscrimination Law Using a Regression-Discontinuity Design," NBER Working Papers 7131, National Bureau of Economic Research, Inc.
    10. Hahn, Jinyong & Todd, Petra & Van der Klaauw, Wilbert, 2001. "Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design," Econometrica, Econometric Society, vol. 69(1), pages 201-209, January.
    11. Card, David, 2001. "Estimating the Return to Schooling: Progress on Some Persistent Econometric Problems," Econometrica, Econometric Society, vol. 69(5), pages 1127-1160, September.
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