1 citations · 2 across the 5 of their papers we have counts for
5 papers
Inference on the Distribution of Individual Treatment Effects in Nonseparable Triangular Models
Jun Ma, Vadim Marmer, Zhengfei Yu
In this paper, we develop inference methods for the distribution of heterogeneous individual treatment effects (ITEs) in the nonseparable triangular model with a binary endogenous…
Double Robust Bayesian Inference on Average Treatment Effects
Christoph Breunig, Ruixuan Liu, Zhengfei Yu
We propose a double robust Bayesian inference procedure on the average treatment effect (ATE) under unconfoundedness. For our new Bayesian approach, we first adjust the prior distr…
Inference on Individual Treatment Effects in Nonseparable Triangular Models
Jun Ma, Vadim Marmer, Zhengfei Yu
In nonseparable triangular models with a binary endogenous treatment and a binary instrumental variable, Vuong and Xu (2017) established identification results for individual treat…
Empirical Likelihood Covariate Adjustment for Regression Discontinuity Designs
Jun Ma, Zhengfei Yu
This paper proposes a versatile covariate adjustment method that directly incorporates covariate balance in regression discontinuity (RD) designs. The new empirical entropy balanci…
Estimation and Inference on Treatment Effects Under Treatment-Based Sampling
Kyungchul Song, Zhengfei Yu
Causal inference in a program evaluation setting faces the problem of external validity when the treatment effect in the target population is different from the treatment effect id…