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来源类型Working Paper
规范类型报告
DOI10.3386/w24172
来源IDWorking Paper 24172
Impact Evaluation in Matching Markets with General Tie-Breaking
Atila Abdulkadiroglu; Joshua D. Angrist; Yusuke Narita; Parag A. Pathak
发表日期2018-01-08
出版年2018
语种英语
摘要Many centralized matching schemes incorporate a mix of random lottery and non-lottery tie-breaking. A leading example is the New York City public school district, which uses criteria like test scores and interviews to generate applicant rankings for some schools, combined with lottery tie-breaking at other schools. We develop methods that identify causal effects of assignment in such settings. Our approach generalizes the standard regression discontinuity design to allow for many running variables and treatments, some of which are randomly assigned. We show that lottery variation generates assignment risk at non-lottery programs for applicants away from non-lottery cutoffs, while non-lottery variation randomizes applicants near cutoffs regardless of lottery risk. These methods are applied to evaluate New York City’s school progress assessments, which give schools letter grades as a summary measure of quality. Our estimates reveal that although Grade A schools boost achievement, these gains emerge only for students who attend lottery schools. Attendance at a coveted Grade A screened school, including some of the highest performing in the district, generates no measurable effects. Evaluation methods that fail to take advantage of both lottery and non-lottery variation miss this difference in impact.
主题Econometrics ; Estimation Methods ; Microeconomics ; Market Structure and Distribution ; Health, Education, and Welfare ; Education
URLhttps://www.nber.org/papers/w24172
来源智库National Bureau of Economic Research (United States)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/581853
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GB/T 7714
Atila Abdulkadiroglu,Joshua D. Angrist,Yusuke Narita,et al. Impact Evaluation in Matching Markets with General Tie-Breaking. 2018.
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