IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/16663.html
   My bibliography  Save this paper

Jockeying for Position: Strategic High School Choice Under Texas' Top Ten Percent Plan

Author

Listed:
  • Julie Berry Cullen
  • Mark C. Long
  • Randall Reback

Abstract

Beginning in 1998, all students in the state of Texas who graduated in the top ten percent of their high school classes were guaranteed admission to any in-state public higher education institution, including the flagships. While the goal of this policy is to improve college access for disadvantaged and minority students, the use of a school-specific standard to determine eligibility could have unintended consequences. Students may increase their chances of being in the top ten percent by choosing a high school with lower-achieving peers. Our analysis of students' school transitions between 8th and 10th grade three years before and after the policy change reveals that this incentive influences enrollment choices in the anticipated direction. Among the subset of students with both motive and opportunity for strategic high school choice, as many as 25 percent enroll in a different high school to improve the chances of being in the top ten percent. Strategic students tend to choose the neighborhood high school in lieu of more competitive magnet schools and, regardless of own race, typically displace minority students from the top ten percent pool. The net effect of strategic behavior is to slightly decrease minority students' representation in the pool.

Suggested Citation

  • Julie Berry Cullen & Mark C. Long & Randall Reback, 2011. "Jockeying for Position: Strategic High School Choice Under Texas' Top Ten Percent Plan," NBER Working Papers 16663, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:16663
    Note: CH ED LS PE
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w16663.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Moffitt, Robert, 1992. "Incentive Effects of the U.S. Welfare System: A Review," Journal of Economic Literature, American Economic Association, vol. 30(1), pages 1-61, March.
    2. Hanushek, Eric A & Rivkin, Steven G & Taylor, Lori L, 1996. "Aggregation and the Estimated Effects of School Resources," The Review of Economics and Statistics, MIT Press, vol. 78(4), pages 611-627, November.
    3. 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.
    4. Jesse M. Rothstein, 2006. "Good Principals or Good Peers? Parental Valuation of School Characteristics, Tiebout Equilibrium, and the Incentive Effects of Competition among Jurisdictions," American Economic Review, American Economic Association, vol. 96(4), pages 1333-1350, September.
    5. Robert Moffitt, 2002. "Economic Effects of Means-Tested Transfers in the US," NBER Chapters, in: Tax Policy and the Economy, Volume 16, pages 1-36, National Bureau of Economic Research, Inc.
    6. Kalena E. Cortes & Andrew I. Friedson, 2014. "Ranking Up by Moving Out: The Effect of the Texas Top 10% Plan on Property Values," National Tax Journal, National Tax Association;National Tax Journal, vol. 67(1), pages 51-76, March.
    7. Alan Krueger & Jesse Rothstein & Sarah Turner, 2006. "Race, Income, and College in 25 Years: Evaluating Justice O'Connor's Conjecture," American Law and Economics Review, American Law and Economics Association, vol. 8(2), pages 282-311.
    8. Mark C. Long, 2004. "Race and College Admissions: An Alternative to Affirmative Action?," The Review of Economics and Statistics, MIT Press, vol. 86(4), pages 1020-1033, November.
    9. Jessica S. Howell, 2010. "Assessing the Impact of Eliminating Affirmative Action in Higher Education," Journal of Labor Economics, University of Chicago Press, vol. 28(1), pages 113-166, January.
    10. Long, M.C.Mark C., 2004. "College applications and the effect of affirmative action," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 319-342.
    11. 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.
    12. Mark Hoekstra, 2009. "The Effect of Attending the Flagship State University on Earnings: A Discontinuity-Based Approach," The Review of Economics and Statistics, MIT Press, vol. 91(4), pages 717-724, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hinrichs, Peter, 2014. "Affirmative action bans and college graduation rates," Economics of Education Review, Elsevier, vol. 42(C), pages 43-52.
    2. 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.
    3. Peter Hinrichs, 2020. "Affirmative Action and Racial Segregation," Journal of Law and Economics, University of Chicago Press, vol. 63(2), pages 239-267.
    4. Sandra E. Black & Kalena E. Cortes & Jane Arnold Lincove, 2014. "Efficacy vs. Equity: What Happens When States Tinker with College Admissions in a Race-Blind Era?," NBER Working Papers 20804, National Bureau of Economic Research, Inc.
    5. Dickson, Lisa & Pender, Matea, 2013. "Do in-state tuition benefits affect the enrollment of non-citizens? Evidence from universities in Texas," Economics of Education Review, Elsevier, vol. 37(C), pages 126-137.
    6. Dennis L. Weisman & Dong Li, 2017. "Weeds in the Ivy: college admissions under preference constraints," Applied Economics, Taylor & Francis Journals, vol. 49(3), pages 303-312, January.
    7. Maria Eduarda Tannuri Pianto & Andrew Francis, 2011. "The Redistributive Efficacy Ofaffirmative Action: Exploring The Role Of Race And Socioeconomic Statusin College Admissions," Anais do XXXVIII Encontro Nacional de Economia [Proceedings of the 38th Brazilian Economics Meeting] 218, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    8. Yagan, Danny, 2016. "Supply vs. demand under an affirmative action ban: Estimates from UC law schools," Journal of Public Economics, Elsevier, vol. 137(C), pages 38-50.
    9. Francis, Andrew M. & Tannuri-Pianto, Maria, 2012. "The redistributive equity of affirmative action: Exploring the role of race, socioeconomic status, and gender in college admissions," Economics of Education Review, Elsevier, vol. 31(1), pages 45-55.
    10. Sandra E. Black & Kalena E. Cortes & Jane Arnold Lincove, 2020. "Apply Yourself: Racial and Ethnic Differences in College Application," Education Finance and Policy, MIT Press, vol. 15(2), pages 209-240, Spring.
    11. Li, Dong & Weisman, Dennis L., 2011. "Why preferences in college admissions may yield a more-able student body," Economics of Education Review, Elsevier, vol. 30(4), pages 724-728, August.
    12. Peter Arcidiacono & Cory Koedel, 2014. "Race and College Success: Evidence from Missouri," American Economic Journal: Applied Economics, American Economic Association, vol. 6(3), pages 20-57, July.
    13. Zachary Bleemer, 2022. "Affirmative Action, Mismatch, and Economic Mobility after California’s Proposition 209," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 137(1), pages 115-160.
    14. Peter Hinrichs, 2012. "The Effects of Affirmative Action Bans on College Enrollment, Educational Attainment, and the Demographic Composition of Universities," The Review of Economics and Statistics, MIT Press, vol. 94(3), pages 712-722, August.
    15. Francisca Antman & Brian Duncan, 2015. "Incentives to Identify: Racial Identity in the Age of Affirmative Action," The Review of Economics and Statistics, MIT Press, vol. 97(3), pages 710-713, July.
    16. Andrews, Rodney J. & Ranchhod, Vimal & Sathy, Viji, 2010. "Estimating the responsiveness of college applications to the likelihood of acceptance and financial assistance: Evidence from Texas," Economics of Education Review, Elsevier, vol. 29(1), pages 104-115, February.
    17. Fernanda Estevan & Thomas Gall & Louis-Philippe Morin, 2019. "Redistribution Without Distortion: Evidence from an Affirmative Action Programme at a Large Brazilian University," The Economic Journal, Royal Economic Society, vol. 129(619), pages 1182-1220.
    18. David Welsch, 2012. "Affirmative Action in College Admission Decisions and the Distribution of Human Capital," Working Papers 12-02, UW-Whitewater, Department of Economics.
    19. Alon, Sigal & Malamud, Ofer, 2014. "The impact of Israel's class-based affirmative action policy on admission and academic outcomes," Economics of Education Review, Elsevier, vol. 40(C), pages 123-139.
    20. Oliveira, Rodrigo & Santos, Alei & Severnini, Edson, 2024. "Bridging the gap: Mismatch effects and catch-up dynamics under a Brazilian college affirmative action program," Economics of Education Review, Elsevier, vol. 98(C).

    More about this item

    JEL classification:

    • D10 - Microeconomics - - Household Behavior - - - General
    • H31 - Public Economics - - Fiscal Policies and Behavior of Economic Agents - - - Household
    • H73 - Public Economics - - State and Local Government; Intergovernmental Relations - - - Interjurisdictional Differentials and Their Effects
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • J60 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - General
    • J78 - Labor and Demographic Economics - - Labor Discrimination - - - Public Policy (including comparable worth)

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:nbr:nberwo:16663. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.