4 citations · 7 across the 9 of their papers we have counts for
7 papers · 1 filter
Estimating Dyadic Treatment Effects with Unknown Confounders
Tadao Hoshino, Takahide Yanagi
This paper proposes estimation and inference methods for assessing treatment effects with dyadic data. Under the assumption that the treatments follow an exchangeable distribution,…
Doubly Robust Uniform Confidence Bands for Group-Time Conditional Average Treatment Effects in Difference-in-Differences
Shunsuke Imai, Lei Qin, Takahide Yanagi
We consider a panel data analysis to examine the heterogeneity in treatment effects with respect to groups, periods, and a pre-treatment covariate of interest in the staggered diff…
An Effective Treatment Approach to Difference-in-Differences with General Treatment Patterns
Takahide Yanagi
We consider a general difference-in-differences model in which the treatment variable of interest may be non-binary and its value may change in each period. It is generally difficu…
Estimating Marginal Treatment Effects under Unobserved Group Heterogeneity
Tadao Hoshino, Takahide Yanagi
This paper studies treatment effect models in which individuals are classified into unobserved groups based on heterogeneous treatment rules. Using a finite mixture approach, we pr…
Treatment Effect Models with Strategic Interaction in Treatment Decisions
Tadao Hoshino, Takahide Yanagi
This study considers treatment effect models in which others' treatment decisions can affect both one's own treatment and outcome. Focusing on the case of two-player interactions,…
Panel Data Analysis with Heterogeneous Dynamics
Ryo Okui, Takahide Yanagi
This paper proposes a model-free approach to analyze panel data with heterogeneous dynamic structures across observational units. We first compute the sample mean, autocovariances,…
Kernel Estimation for Panel Data with Heterogeneous Dynamics
Ryo Okui, Takahide Yanagi
This paper proposes nonparametric kernel-smoothing estimation for panel data to examine the degree of heterogeneity across cross-sectional units. We first estimate the sample mean,…