33 citations · 124 across the 37 of their papers we have counts for
Showing 2017 · stat.MEShow all
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stat.ME2017
Quantile Regression with Interval Data
Arie Beresteanu, Yuya Sasaki
This paper investigates the identification of quantiles and quantile regression parameters when observations are set valued. We define the identification set of quantiles of random…
stat.ME2017★ 9 cited
Estimation and Inference for Moments of Ratios with Robustness against Large Trimming Bias
Yuya Sasaki, Takuya Ura
Empirical researchers often trim observations with small denominator A when they estimate moments of the form E[B/A]. Large trimming is a common practice to mitigate variance, but…
stat.ME2017★ 4 cited
Robust Uniform Inference for Quantile Treatment Effects in Regression Discontinuity Designs
Harold D. Chiang, Yu-Chin Hsu, Yuya Sasaki
The practical importance of inference with robustness against large bandwidths for causal effects in regression discontinuity and kink designs is widely recognized. Existing robust…