IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/20804.html
   My bibliography  Save this paper

Efficacy vs. Equity: What Happens When States Tinker with College Admissions in a Race-Blind Era?

Author

Listed:
  • Sandra E. Black
  • Kalena E. Cortes
  • Jane Arnold Lincove

Abstract

College admissions officers face a rapidly changing policy environment where court decisions have limited the use of affirmative action. At the same time, there is mounting evidence that commonly used signals of college readiness, such as the SAT/ACTs, are subject to race and socioeconomic bias. Our study investigates the efficacy and equity of college admissions criteria by estimating the effect of multiple measures of college readiness on freshman college grade point average and four-year graduation. Importantly, we take advantage of a unique institutional feature of the Texas higher education system to control for selection into admissions and enrollment. We find that SAT/ACT scores, high school exit exams, and advanced coursework are predictors of student success in college. However, when we simulate changes in college enrollment and college outcomes with additional admissions criteria, we find that adding SAT/ACT or high school exit exam criteria to a rank-based admissions policy significantly decreases enrollment among minorities and other groups, with the most negative effects generated by the SAT/ACT, while inducing only minimal gains in college GPA and four-year graduation rates.

Suggested Citation

  • 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.
  • Handle: RePEc:nbr:nberwo:20804
    Note: ED
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w20804.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. Cortes, Kalena E., 2010. "Do Bans on Affirmative Action Hurt Minority Students? Evidence from the Texas Top 10% Plan," IZA Discussion Papers 5021, Institute of Labor Economics (IZA).
    3. Julian R. Betts & Darlene Morell, 1999. "The Determinants of Undergraduate Grade Point Average: The Relative Importance of Family Background, High School Resources, and Peer Group Effects," Journal of Human Resources, University of Wisconsin Press, vol. 34(2), pages 268-293.
    4. Berkowitz, Daniel & Hoekstra, Mark, 2011. "Does high school quality matter? Evidence from admissions data," Economics of Education Review, Elsevier, vol. 30(2), pages 280-288, April.
    5. Rothstein, Jesse M, 2004. "College performance predictions and the SAT," Department of Economics, Working Paper Series qt59s4j4m4, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    6. Kalena E. Cortes, 2010. "Do Bans on Affirmative Action Hurt Minority Students? Evidence from the Texas Top 10% Plan," Upjohn Working Papers 10-168, W.E. Upjohn Institute for Employment Research.
    7. 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.
    8. 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.
    9. Cohn, Elchanan & Cohn, Sharon & Balch, Donald C. & Bradley, James Jr., 2004. "Determinants of undergraduate GPAs: SAT scores, high-school GPA and high-school rank," Economics of Education Review, Elsevier, vol. 23(6), pages 577-586, December.
    10. Peter Arcidiacono, 2005. "Affirmative Action in Higher Education: How Do Admission and Financial Aid Rules Affect Future Earnings?," Econometrica, Econometric Society, vol. 73(5), pages 1477-1524, September.
    11. 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.
    12. 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.
    13. Cyrenne, Philippe & Chan, Alan, 2012. "High school grades and university performance: A case study," Economics of Education Review, Elsevier, vol. 31(5), pages 524-542.
    14. Cortes, Kalena E., 2010. "Do bans on affirmative action hurt minority students? Evidence from the Texas Top 10% Plan," Economics of Education Review, Elsevier, vol. 29(6), pages 1110-1124, December.
    15. 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.
    16. Mark C. Long & Patrice Iatarola & Dylan Conger, 2009. "Explaining Gaps in Readiness for College-Level Math: The Role of High School Courses," Education Finance and Policy, MIT Press, vol. 4(1), pages 1-33, January.
    17. Rothstein, J.M.Jesse M., 2004. "College performance predictions and the SAT," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 297-317.
    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. Gerdes, Christer, 2015. "Does Performance Information Affect Job Seekers in Selecting Private Providers in Voucher-Based ALMP Programs?," IZA Discussion Papers 8992, Institute of Labor Economics (IZA).

    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. 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.
    4. 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.
    5. Hinrichs, Peter, 2011. "The effects of attending a diverse college," Economics of Education Review, Elsevier, vol. 30(2), pages 332-341, April.
    6. Dylan Conger & Lisa Dickson, 2017. "Gender Imbalance in Higher Education: Insights for College Administrators and Researchers," Research in Higher Education, Springer;Association for Institutional Research, vol. 58(2), pages 214-230, March.
    7. Pastine, Ivan & Pastine, Tuvana, 2012. "Student incentives and preferential treatment in college admissions," Economics of Education Review, Elsevier, vol. 31(1), pages 123-130.
    8. Black, Sandra E. & Lincove, Jane & Cullinane, Jennifer & Veron, Rachel, 2015. "Can you leave high school behind?," Economics of Education Review, Elsevier, vol. 46(C), pages 52-63.
    9. 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].
    10. 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.
    11. 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.
    12. Bleemer, Zachary, 2023. "Affirmative action and its race-neutral alternatives," Journal of Public Economics, Elsevier, vol. 220(C).
    13. 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.
    14. Peter Hinrichs, 2020. "Affirmative Action and Racial Segregation," Journal of Law and Economics, University of Chicago Press, vol. 63(2), pages 239-267.
    15. Liu, Haoyang & Song, Yang & Zhang, Xiaohan, 2022. "Moving to better opportunities? Housing market responses to the top 4% policy," Regional Science and Urban Economics, Elsevier, vol. 97(C).
    16. 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.
    17. Page, Lindsay C. & Scott-Clayton, Judith, 2016. "Improving college access in the United States: Barriers and policy responses," Economics of Education Review, Elsevier, vol. 51(C), pages 4-22.
    18. Bai, Chong-en & Chi, Wei, 2011. "Determinants of undergraduate GPAs in China: college entrance examination scores, high school achievement, and admission route," MPRA Paper 31240, University Library of Munich, Germany.
    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. Francis-Tan, Andrew & Tannuri-Pianto, Maria, 2018. "Black Movement: Using discontinuities in admissions to study the effects of college quality and affirmative action," Journal of Development Economics, Elsevier, vol. 135(C), pages 97-116.

    More about this item

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • J18 - Labor and Demographic Economics - - Demographic Economics - - - Public Policy

    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:20804. 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.