IDEAS home Printed from https://ideas.repec.org/a/wly/jpamgt/v29y2010i1p84-110.html
   My bibliography  Save this article

The impact of the Texas top ten percent law on college enrollment: A regression discontinuity approach

Author

Listed:
  • Sunny Xinchun Niu

    (Research Scholar, Office of Population Research, Princeton University)

  • Marta Tienda

    (Professor, Sociology and Public Affairs, Princeton University)

Abstract

We use regression discontinuity methods on a representative survey of Texas high school seniors to discern the impact on flagship-enrollment behavior of the Texas top 10 percent law, which guarantees admission to any Texas public university to students who graduate in the top decile of their class. By comparing students at and immediately below the cut-point for automatic admission, we find that the top 10 percent law affects flagship enrollment of Hispanic students eligible for the admission guarantee, as well as rank-eligible graduates from high schools where minority students predominate and from high schools with the state average share of economically disadvantaged students. Our findings are robust to various model specifications and different bandwidth choices using local linear estimation. © 2010 by the Association for Public Policy Analysis and Management.

Suggested Citation

  • Sunny Xinchun Niu & Marta Tienda, 2010. "The impact of the Texas top ten percent law on college enrollment: A regression discontinuity approach," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 29(1), pages 84-110.
  • Handle: RePEc:wly:jpamgt:v:29:y:2010:i:1:p:84-110
    DOI: 10.1002/pam.20480
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1002/pam.20480
    File Function: Link to full text; subscription required
    Download Restriction: no

    References listed on IDEAS

    as
    1. Mariana Alfonso & Juan Carlos Calcagno, 2007. "Minority Enrollments at Public Universities of Diverse Selectivity Levels under Different Admission Regimes: The Case of Texas," IDB Publications (Working Papers) 6729, Inter-American Development Bank.
    2. Brian A. Jacob & Lars Lefgren, 2004. "Remedial Education and Student Achievement: A Regression-Discontinuity Analysis," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 226-244, February.
    3. Imbens, Guido W. & Lemieux, Thomas, 2008. "Regression discontinuity designs: A guide to practice," Journal of Econometrics, Elsevier, vol. 142(2), pages 615-635, February.
    4. Thomas J. Kane, 2003. "A Quasi-Experimental Estimate of the Impact of Financial Aid on College-Going," NBER Working Papers 9703, National Bureau of Economic Research, Inc.
    5. 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.
    6. Dickson, Lisa M., 2006. "Does ending affirmative action in college admissions lower the percent of minority students applying to college?," Economics of Education Review, Elsevier, vol. 25(1), pages 109-119, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Rodney Andrews & Kevin Stange, 2016. "Price Regulation, Price Discrimination, and Equality of Opportunity in Higher Education: Evidence from Texas," NBER Working Papers 22901, National Bureau of Economic Research, Inc.
    2. Jason M. Fletcher & Adalbert Mayer, 2014. "Tracing The Effects Of Guaranteed Admission Through The College Process: Evidence From A Policy Discontinuity In The Texas 10% Plan," Contemporary Economic Policy, Western Economic Association International, vol. 32(1), pages 169-186, January.
    3. Rodney J. Andrews & Scott A. Imberman & Michael F. Lovenheim, 2016. "Recruiting and Supporting Low-Income, High-Achieving Students at Flagship Universities," NBER Working Papers 22260, National Bureau of Economic Research, Inc.
    4. Peter Arcidiacono & Michael Lovenheim, 2016. "Affirmative Action and the Quality-Fit Trade-Off," Journal of Economic Literature, American Economic Association, vol. 54(1), pages 3-51, March.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:jpamgt:v:29:y:2010:i:1:p:84-110. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Wiley-Blackwell Digital Licensing) or (Christopher F. Baum). General contact details of provider: http://www3.interscience.wiley.com/journal/34787/home .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.