2 citations · 3 across the 2 of their papers we have counts for
5 papers
Linear programming approach to nonparametric inference under shape restrictions: with an application to regression kink designs
Harold D. Chiang, Kengo Kato, Yuya Sasaki +1
We develop a novel method of constructing confidence bands for nonparametric regression functions under shape constraints. This method can be implemented via a linear programming,…
Welfare Analysis via Marginal Treatment Effects
Yuya Sasaki, Takuya Ura
Consider a causal structure with endogeneity (i.e., unobserved confoundedness) in empirical data, where an instrumental variable is available. In this setting, we show that the mea…
Finite Sample Inference for the Maximum Score Estimand
Adam M. Rosen, Takuya Ura
We provide a finite sample inference method for the structural parameters of a semiparametric binary response model under a conditional median restriction originally studied by Man…
Inference based on Kotlarski's Identity
Kengo Kato, Yuya Sasaki, Takuya Ura
Kotlarski's identity has been widely used in applied economic research. However, how to conduct inference based on this popular identification approach has been an open question fo…
Estimation and Inference for Policy Relevant Treatment Effects
Yuya Sasaki, Takuya Ura
The policy relevant treatment effect (PRTE) measures the average effect of switching from a status-quo policy to a counterfactual policy. Estimation of the PRTE involves estimation…