33 citations · 124 across the 37 of their papers we have counts for
4 papers · 1 filter
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…
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…
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…
Causal Inference by Quantile Regression Kink Designs
Harold D. Chiang, Yuya Sasaki
The quantile regression kink design (QRKD) is proposed by empirical researchers as a potential method to assess heterogeneous treatment effects under suitable research designs, but…