Regression Discontinuity Design with Continuous Measurement Error in the Running Variable
Regression Discontinuity Design with Continuous Measurement Error in the Running Variable
复制标题
运行变量连续测量误差的断点回归设计
DOI：
10.1016/j.jeconom.2017.06.010
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发表时间：
2017
期刊：
影响因子：
--
通讯作者：
Thomas Le Barbanchon
中科院分区：
文献类型：
--
作者：
L. Davezies;Thomas Le Barbanchon
自90年代后期以来，回归不连续性（RD）设计已被广泛用于估计局部平均治疗效应（LATE）。当观测到运行变量存在连续测量误差时，辨识失败。假设非差分测量误差，我们提出了一个一致的非参数估计的LATE时，观察到的真实运行变量和噪声测量之间的差异在一个辅助样本的治疗个体，当有治疗的个人在任何值的真实运行变量-双边模糊设计。我们应用我们的方法来估计领取失业救济金的影响。
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 non-differential 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.
影响因子：
13.7
作者：
Card, David;Chetty, Raj;Weber, Andrea
通讯作者：
Weber, Andrea