全球智库信息集成服务系统(G2TT): Admitting Students to Selective Education Programs: Merit, Profiling, and Affirmative Action

G2TT

来源类型	Working Paper
规范类型	报告
DOI	10.3386/w21232
来源ID	Working Paper 21232
	Admitting Students to Selective Education Programs: Merit, Profiling, and Affirmative Action
	Dario Cestau; Dennis Epple; Holger Sieg
发表日期	2015-06-08
出版年	2015
语种	英语
摘要	For decades, colleges and universities have struggled to increase participation of minority and disadvantaged students. Urban school districts confront a parallel challenge; minority and disadvantaged students are underrepresented in selective programs that use merit-based admission. In their referral and admission policies to such selective programs, school districts may potentially set different admission thresholds based on income and race (affirmative action), and they may potentially take account of differences in achievement relative to ability across race and income groups (profiling). We develop an econometric model that provides a unified treatment of affirmative action and profiling. Implementing the model for an urban district, we find profiling by race and income, and affirmative action for low-income students. Counterfactual analysis reveals that these policies achieve more than 80% of African American enrollment that could be attained by race-based affirmative action.
主题	Health, Education, and Welfare ; Education
URL	https://www.nber.org/papers/w21232
来源智库	National Bureau of Economic Research (United States)
引用统计
资源类型	智库出版物
条目标识符	http://119.78.100.153/handle/2XGU8XDN/578907
推荐引用方式 GB/T 7714	Dario Cestau,Dennis Epple,Holger Sieg. Admitting Students to Selective Education Programs: Merit, Profiling, and Affirmative Action. 2015.