2 citations · 2 across the 4 of their papers we have counts for
4 papers
Estimation and Inference for Causal Functions with Multiway Clustered Data
Nan Liu, Yanbo Liu, Yuya Sasaki
This paper proposes methods of estimation and uniform inference for a general class of causal functions, such as the conditional average treatment effects and the continuous treatm…
Quantifying gendered citation imbalance in computer science conferences
Kazuki Nakajima, Yuya Sasaki, Sohei Tokuno +1
The number of citations received by papers often exhibits imbalances in terms of author attributes such as country of affiliation and gender. While recent studies have quantified c…
The Informativeness of Combined Experimental and Observational Data under Dynamic Selection
Yechan Park, Yuya Sasaki
This paper addresses the challenge of estimating the Average Treatment Effect on the Treated Survivors (ATETS; Vikstrom et al., 2018) in the absence of long-term experimental data,…
A Bracketing Relationship for Long-Term Policy Evaluation with Combined Experimental and Observational Data
Yechan Park, Yuya Sasaki
Combining short-term experimental data with observational data enables credible long-term policy evaluation. The literature offers two key but non-nested assumptions, namely the la…