2 citations · 2 across the 8 of their papers we have counts for
5 papers · 1 filter
Heterogeneous Effects of Endogenous Treatments with Interference and Spillovers in a Large Network
Lin Chen, Yuya Sasaki
This paper studies the identification and estimation of heterogeneous effects of an endogenous treatment under interference and spillovers in a large single-network setting. We mod…
GMM and M Estimation under Network Dependence
Yuya Sasaki
This paper presents GMM and M estimators and their asymptotic properties for network-dependent data. To this end, I build on Kojevnikov, Marmer, and Song (KMS, 2021) and develop a…
Matching Hybrid Difference in Differences
Yechan Park, Yuya Sasaki
Since LaLonde's (1986) seminal paper, there has been ongoing interest in estimating treatment effects using pre- and post-intervention data. Scholars have traditionally used experi…
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…