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来源类型Working Paper
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DOI10.3386/w18662
来源IDWorking Paper 18662
Wanna Get Away? RD Identification Away from the Cutoff
Joshua Angrist; Miikka Rokkanen
发表日期2012-12-28
出版年2012
语种英语
摘要In the canonical regression discontinuity (RD) design for applicants who face an award or admissions cutoff, causal effects are nonparametrically identified for those near the cutoff. The impact of treatment on inframarginal applicants is also of interest, but identification of such effects requires stronger assumptions than are required for identification at the cutoff. This paper discusses RD identification away from the cutoff. Our identification strategy exploits the availability of dependent variable predictors other than the running variable. Conditional on these predictors, the running variable is assumed to be ignorable. This identification strategy is illustrated with data on applicants to Boston exam schools. Functional-form-based extrapolation generates unsatisfying results in this context, either noisy or not very robust. By contrast, identification based on RD-specific conditional independence assumptions produces reasonably precise and surprisingly robust estimates of the effects of exam school attendance on inframarginal applicants. These estimates suggest that the causal effects of exam school attendance for 9th grade applicants with running variable values well away from admissions cutoffs differ little from those for applicants with values that put them on the margin of acceptance. An extension to fuzzy designs is shown to identify causal effects for compliers away from the cutoff.
主题Econometrics ; Estimation Methods ; Health, Education, and Welfare ; Education ; Labor Economics ; Labor Supply and Demand
URLhttps://www.nber.org/papers/w18662
来源智库National Bureau of Economic Research (United States)
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条目标识符http://119.78.100.153/handle/2XGU8XDN/576337
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Joshua Angrist,Miikka Rokkanen. Wanna Get Away? RD Identification Away from the Cutoff. 2012.
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