The Effects of Affirmative Action Bans on College Enrollment, Educational Attainment, and the Demographic Composition of Universities

By Peter L. Hinrichs. Review of Economics and Statistics, 2012

296 citations recorded by the source corpus.

Subfields: Education, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/976bcceb1f1d6d9326f80a29ff87c1dc11cb08d0

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Citations in the corpus

On the role of covariates in the synthetic control method (2019, methodology): “5A non-exhaustive list of papers that applied the SC method using all pre-treatment outcomes as predictors include Bilgel and Galle (2015), Billmeier and Nannicini (2013), Bohn et al. (2014), Cavallo et al. (2013), Hinrichs (2012), Kreif et al. (2015), and Liu (2015).”
Do Affirmative Action Bans Lower Minority College Enrollment and Attainment? (2012, methodology): “Although Hinrichs (2011) is the only paper I’m aware of attempting to measure the effect on college completion, it uses demographic data, which (as discussed later) is not ideal.”
Affirmative Action and the Quality-Fit Tradeoff (2016, unknown): “…Community Survey data from 2005-2007 that links each respondent to whether an affirmative-action ban was in place in his state of birth when he was eighteen, Hinrichs (2012) estimates difference-in-difference models that examine how ban enactments change the BA attainment rate of minority students.”
The economic consequences of Hugo Chavez: A synthetic control analysis (2016, methodology): “And of course the synthetic control method has seen numerous recent applications including affirmative action (Hinrichs, 2012), compulsory voting (Fowler, 2013), economic liberalization (Billmeier and Nannicini, 2013), and natural disasters Cavallo et al.”
Improving College Access in the United States: Barriers and Policy Responses (2015, unknown): “For more detailed reviews, see Arcidiacono and Lovenheim (2015), Hinrichs (2012, 2014), or Holzer and Neumark (2006).”
Synthetic Control Method: Inference, Sensitivity Analysis and Confidence Sets (2018, background): “…finance (Jinjarak et al. (2013), Sanso-Navarro (2011)), education and research policy (Belot & Vandenberghe (2014), Chan et al. (2014), Hinrichs (2012)), health policy (Bauhoff (2014), Kreif et al. (2015)), economic and trade liberalization (Billmeier & Nannicini (2013), Gathani et…”
Synthetic Control Methods: Never Use All Pre-Intervention Outcomes Together With Covariates (2015, methodology): “, in Hinrichs (2012). 10 Note that we constructed corresponding v-weights by using the nested optimization, not by the regression based approach.”
University Differences in the Graduation of Minorities in Stem Fields: Evidence from California (2013, unknown): “We present estimates for the parameters of the net return functions in (3), the switching majors cost function in (5) and some of the indices of students’ academic preparation from (4) for science and non-science majors.(22)”