全球智库信息集成服务系统(G2TT): Research Design Meets Market Design: Using Centralized Assignment for Impact Evaluation

G2TT

来源类型	Working Paper
规范类型	报告
DOI	10.3386/w21705
来源ID	Working Paper 21705
	Research Design Meets Market Design: Using Centralized Assignment for Impact Evaluation
	Atila Abdulkadiroglu; Joshua D. Angrist; Yusuke Narita; Parag A. Pathak
发表日期	2015-11-09
出版年	2015
语种	英语
摘要	A growing number of school districts use centralized assignment mechanisms to allocate school seats in a manner that reflects student preferences and school priorities. Many of these assignment schemes use lotteries to ration seats when schools are oversubscribed. The resulting random assignment opens the door to credible quasi-experimental research designs for the evaluation of school effectiveness. Yet the question of how best to separate the lottery-generated variation integral to such designs from non-random preferences and priorities remains open. This paper develops easily-implemented empirical strategies that fully exploit the random assignment embedded in the widely-used deferred acceptance mechanism and its variants. We use these methods to evaluate charter schools in Denver, one of a growing number of districts that integrate charter and traditional public schools in a unified assignment system. The resulting estimates show large achievement gains from charter school attendance. Our approach expands the scope for impact evaluation by maximizing the number of students and schools that can be studied using random assignment. We also show how to use DA to identify causal effects in models with multiple school sectors.
主题	Econometrics ; Estimation Methods ; Microeconomics ; Market Structure and Distribution ; Health, Education, and Welfare ; Education
URL	https://www.nber.org/papers/w21705
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/579380
推荐引用方式 GB/T 7714	Atila Abdulkadiroglu,Joshua D. Angrist,Yusuke Narita,et al. Research Design Meets Market Design: Using Centralized Assignment for Impact Evaluation. 2015.