IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp9598.html
   My bibliography  Save this paper

Can Admissions Percent Plans Lead to Better Collegiate Fit for Minority Students?

Author

Listed:
  • Cortes, Kalena E.

    (Texas A&M University)

  • Lincove, Jane Arnold

    (University of Maryland, Baltimore County)

Abstract

Why do so many students mismatch when choosing a college? A plausible hypothesis is a lack of information about the likelihood of admission. This study contributes to the literature on mismatch by testing whether public university automatic admissions policies mitigate academic undermatch and promote academic overmatch by providing some students with admissions certainty. Focusing on the interaction of admissions certainty and race/ethnicity, our results support the hypothesis that a priori admissions information can vastly improve minority access to college quality by encouraging eligible students to apply to, and more importantly, enroll in more challenging institutions.

Suggested Citation

  • Cortes, Kalena E. & Lincove, Jane Arnold, 2015. "Can Admissions Percent Plans Lead to Better Collegiate Fit for Minority Students?," IZA Discussion Papers 9598, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp9598
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp9598.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Audrey Light & Wayne Strayer, 2000. "Determinants of College Completion: School Quality or Student Ability?," Journal of Human Resources, University of Wisconsin Press, vol. 35(2), pages 299-332.
    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. Bo, Shiyu & Liu, Jing & Shiu, Ji-Liang & Song, Yan & Zhou, Sen, 2019. "Admission mechanisms and the mismatch between colleges and students: Evidence from a large administrative dataset from China," Economics of Education Review, Elsevier, vol. 68(C), pages 27-37.
    2. Polina Bugakova & Ilya Prakhov, 2020. "Regional Accessibility Of Higher Education In Russia," HSE Working papers WP BRP 58/EDU/2020, National Research University Higher School of Economics.
    3. Aina, Carmen & Baici, Eliana & Casalone, Giorgia & Pastore, Francesco, 2018. "The Economics of University Dropouts and Delayed Graduation: A Survey," IZA Discussion Papers 11421, Institute of Labor Economics (IZA).
    4. Long, Mark C., 2010. "Changes in the returns to education and college quality," Economics of Education Review, Elsevier, vol. 29(3), pages 338-347, June.
    5. Johannes S. Kunz & Kevin E. Staub, 2016. "Subjective Completion Beliefs and the Demand for Post-Secondary Education," SOEPpapers on Multidisciplinary Panel Data Research 878, DIW Berlin, The German Socio-Economic Panel (SOEP).
    6. Christian Belzil & Jörgen Hansen, 2002. "Unobserved Ability and the Return to Schooling," Econometrica, Econometric Society, vol. 70(5), pages 2075-2091, September.
    7. Erica Blom & Brian C. Cadena & Benjamin J. Keys, 2021. "Investment over the Business Cycle: Insights from College Major Choice," Journal of Labor Economics, University of Chicago Press, vol. 39(4), pages 1043-1082.
    8. Francesco Ferrante, 2017. "Assessing Quality in Higher Education: Some Caveats," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 131(2), pages 727-743, March.
    9. Christopher Jepsen, 2008. "Multinomial Probit Estimates of College Completion at Two-Year and Four-Year Schools," Open Access publications 10197/4447, School of Economics, University College Dublin.
    10. Zhong, Xiaohan & Zhu, Lin, 2021. "The medium-run efficiency consequences of unfair school matching: Evidence from Chinese college admissions," Journal of Econometrics, Elsevier, vol. 224(2), pages 271-285.
    11. Lutz Hendricks & Oksana Leukhina, 2017. "How Risky is College Investment?," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 26, pages 140-163, October.
    12. Gustavo Mellior, 2020. "Higher education funding, welfare and inequality in equilibrium," Economics Series Working Papers 908, University of Oxford, Department of Economics.
    13. Geraint Johnes & Robert McNabb, 2004. "Never Give up on the Good Times: Student Attrition in the UK," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 66(1), pages 23-47, February.
    14. Chadi, Adrian & de Pinto, Marco & Schultze, Gabriel, 2019. "Young, gifted and lazy? The role of ability and labor market prospects in student effort decisions," Economics of Education Review, Elsevier, vol. 72(C), pages 66-79.
    15. Eric Parsons, 2014. "Does Attending a Low-Achieving School Affect High-Performing Student Outcomes?," Working Papers 1407, Department of Economics, University of Missouri, revised 18 Feb 2015.
    16. Saltiel, Fernando, 2020. "Gritting it out: The importance of non-cognitive skills in academic mismatch," Economics of Education Review, Elsevier, vol. 78(C).
    17. Eleanor Wiske Dillon & Jeffrey Andrew Smith, 2017. "Determinants of the Match between Student Ability and College Quality," Journal of Labor Economics, University of Chicago Press, vol. 35(1), pages 45-66.
    18. Ahmet Alkan & Sinan Sarpça & Sinan Sarpca, 2023. "Effects of High-Achieving Peers: Findings from a National High School Assignment System," CESifo Working Paper Series 10794, CESifo.
    19. Jonathan Smith & Kevin Stange, 2016. "A New Measure of College Quality to Study the Effects of College Sector and Peers on Degree Attainment," Education Finance and Policy, MIT Press, vol. 11(4), pages 369-403, Fall.
    20. Lindsay C. Page & Judith Scott-Clayton, 2015. "Improving College Access in the United States: Barriers and Policy Responses," NBER Working Papers 21781, National Bureau of Economic Research, Inc.

    More about this item

    Keywords

    academic undermatching and overmatching; admissions policies; Texas Top 10% Plan; automatic admissions; college enrollment;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination

    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:iza:izadps:dp9598. 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: Holger Hinte (email available below). General contact details of provider: https://edirc.repec.org/data/izaaade.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.