G2TT
来源类型Discussion paper
规范类型论文
来源IDDP11775
DP11775 Regression Discontinuity Design with Continuous Measurement Error in the Running Variable
Thomas Le Barbanchon
发表日期2017-01-13
出版年2017
语种英语
摘要Since the late 90s, Regression Discontinuity (RD) designs have been widely used to estimate Local Average Treatment Effects (LATE). When the running variable is observed with continuous measurement error, identification fails. Assuming nondifferential measurement error, we propose a consistent nonparametric estimator of the LATE when the discrepancy between the true running variable and its noisy measure is observed in an auxiliary sample of treated individuals, and when there are treated individuals at any value of the true running variable - two-sided fuzzy designs. We apply our method to estimate the effect of receiving unemployment benefits.
主题Labour Economics
关键词Regression discontinuity design Measurement error Unemployment insurance
URLhttps://cepr.org/publications/dp11775
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/540589
推荐引用方式
GB/T 7714
Thomas Le Barbanchon. DP11775 Regression Discontinuity Design with Continuous Measurement Error in the Running Variable. 2017.
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