2 citations · 4 across the 10 of their papers we have counts for
10 papers
Network-Adjusted GMM Estimation under Network Uncertainty
Tadao Hoshino
This paper proposes a network-adjusted generalized method of moments (NA-GMM) estimator for social interaction models when the observed network may differ from the true interaction…
Evaluating Policy Effects under Network Interference without Network Information: A Transfer Learning Approach
Tadao Hoshino
This paper develops a sensitivity analysis framework that transfers the average total treatment effect (ATTE) from source data with a fully observed network to target data whose ne…
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,…
Causal Interpretation of Linear Social Interaction Models with Endogenous Networks
Tadao Hoshino
This study investigates the causal interpretation of linear social interaction models in the presence of endogeneity in network formation under a heterogeneous treatment effects fr…
Randomization Test for the Specification of Interference Structure
Tadao Hoshino, Takahide Yanagi
This study considers testing the specification of spillover effects in causal inference. We focus on experimental settings in which the treatment assignment mechanism is known to r…
Estimating a Continuous Treatment Model with Spillovers: A Control Function Approach
Tadao Hoshino
We study a continuous treatment effect model in the presence of treatment spillovers through social networks. We assume that one's outcome is affected not only by his/her own treat…
Causal Inference with Noncompliance and Unknown Interference
Tadao Hoshino, Takahide Yanagi
We consider a causal inference model in which individuals interact in a social network and they may not comply with the assigned treatments. In particular, we suppose that the form…
A Pairwise Strategic Network Formation Model with Group Heterogeneity: With an Application to International Travel
Tadao Hoshino
In this study, we consider a pairwise network formation model in which each dyad of agents strategically determines the link status between them. Our model allows the agents to hav…
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,…