Estimating the responsiveness of college applications to the likelihood of acceptance and financial assistance: Evidence from Texas
This paper investigates the impact of Texas's Top Ten Percent Rule--which grants automatic to any public college in Texas for Texas high school graduates who graduate in the top decile--and subsequent targeted recruitment programs initiated by Texas's flagship universities. Using data on SAT test-takers in Texas from 1996 to 2004, we find that the Top Ten Percent Rule affects the set of colleges that students consider, and the targeted recruitment programs are able to attract the attention of students from poor high schools that were not traditional sources of students for the flagships in Texas.
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- Thomas, M. Kathleen, 2004. "Seeking every advantage: the phenomenon of taking both the SAT and ACT," Economics of Education Review, Elsevier, vol. 23(2), pages 203-208, April.
- 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.
- 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.
- 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.
- David Card & Alan B. Krueger, 2005.
"Would the Elimination of Affirmative Action Affect Highly Qualified Minority Applicants? Evidence from California and Texas,"
Cornell University, ILR School, vol. 58(3), pages 416-434, April.
- David Card & Alan B. Krueger, 2004. "Would the Elimination of Affirmative Action Affect Highly Qualified Minority Applicants? Evidence from California and Texas," NBER Working Papers 10366, National Bureau of Economic Research, Inc.
- Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2002.
"How Much Should We Trust Differences-in-Differences Estimates?,"
NBER Working Papers
8841, National Bureau of Economic Research, Inc.
- Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, Oxford University Press, vol. 119(1), pages 249-275.
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