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College Admission and High School Integration

Author

Listed:
  • Fernanda Estevan

    (University of Sao Paulo)

  • Thomas Gall
  • Patrick Legros
  • Andrew Newman

    () (Boston University)

Abstract

We investigate whether a policy that bases college admission on relative performance can modify the degree of racial or ethnic segregation in high schools by inducing students to relocate to schools with weaker competition. Theoretically, such school arbitrage will neutralize the admissions policy at the college level. It will result in partial desegregation of the high schools if flows are sufficiently unbiased. These predictions are supported by empirical evidence on the effects of the Texas Top Ten Percent Law, indicating that a policy intended to support diversity at the college level actually helped achieve it in the high schools.

Suggested Citation

  • Fernanda Estevan & Thomas Gall & Patrick Legros & Andrew Newman, 2017. "College Admission and High School Integration," Working Papers 2017-022, Human Capital and Economic Opportunity Working Group.
  • Handle: RePEc:hka:wpaper:2017-022
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    File URL: http://humcap.uchicago.edu/RePEc/hka/wpaper/Estevan_Gall_etal_2017_college-high_revision_1.pdf
    File Function: Second version, December 1, 2017
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    References listed on IDEAS

    as
    1. Patrick Legros & Andrew F. Newman, 2007. "Beauty Is a Beast, Frog Is a Prince: Assortative Matching with Nontransferabilities," Econometrica, Econometric Society, vol. 75(4), pages 1073-1102, July.
    2. Stinebrickner, Ralph & Stinebrickner, Todd R., 2006. "What can be learned about peer effects using college roommates? Evidence from new survey data and students from disadvantaged backgrounds," Journal of Public Economics, Elsevier, vol. 90(8-9), pages 1435-1454, September.
    3. Cullen, Julie Berry & Long, Mark C. & Reback, Randall, 2013. "Jockeying for position: Strategic high school choice under Texas' top ten percent plan," Journal of Public Economics, Elsevier, vol. 97(C), pages 32-48.
    4. 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.
    5. Legros, Patrick & Newman, Andrew, 2010. "Co-ranking mates: Assortative matching in marriage markets," Economics Letters, Elsevier, vol. 106(3), pages 177-179, March.
    6. Robert Bifulco & Jason M. Fletcher & Stephen L. Ross, 2011. "The Effect of Classmate Characteristics on Post-secondary Outcomes: Evidence from the Add Health," American Economic Journal: Economic Policy, American Economic Association, vol. 3(1), pages 25-53, February.
    7. Ruiz-Castillo, Javier & Mora, Ricardo, 2007. "The invariance properties of the Mutual Information index of multigroup segregation," UC3M Working papers. Economics we077544, Universidad Carlos III de Madrid. Departamento de Economía.
    8. Ettore Damiano & Hao Li & Wing Suen, 2010. "First In Village Or Second In Rome?," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 51(1), pages 263-288, February.
    9. Michael Kremer & Dan Levy, 2008. "Peer Effects and Alcohol Use among College Students," Journal of Economic Perspectives, American Economic Association, vol. 22(3), pages 189-206, Summer.
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    Citations

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    Cited by:

    1. De Fraja, Gianni & Martínez-Mora, Francisco, 2014. "The desegregating effect of school tracking," Journal of Urban Economics, Elsevier, vol. 80(C), pages 164-177.
    2. Caterina Calsamiglia & Annalisa Loviglio, 2016. "Grading On A Curve: When Having Good Peers Is Not Good," Working Papers 940, Barcelona Graduate School of Economics.
    3. Thomas Gall & Patrick Legros & Andrew Newman, 2015. "College Diversity and Investment Incentives," Working Papers 2015-001, Human Capital and Economic Opportunity Working Group.

    More about this item

    Keywords

    matching; Affirmative Action; education; college admission; high school desegregation; Texas Top Ten Percent;

    JEL classification:

    • C78 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Bargaining Theory; Matching Theory
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • D45 - Microeconomics - - Market Structure, Pricing, and Design - - - Rationing; Licensing
    • J78 - Labor and Demographic Economics - - Labor Discrimination - - - Public Policy (including comparable worth)

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