Zobrazeno 1 - 10
of 105
pro vyhledávání: '"Yanagi Takahide"'
Autor:
Hoshino, Tadao, Yanagi, Takahide
This paper proposes a statistical inference method for assessing treatment effects with dyadic data. Under the assumption that the treatments follow an exchangeable distribution, our approach allows for the presence of any unobserved confounding fact
Externí odkaz:
http://arxiv.org/abs/2405.16547
This study considers a panel data analysis to examine the heterogeneity in treatment effects with respect to a pre-treatment covariate of interest in the staggered difference-in-differences setting in Callaway and Sant'Anna (2021). Under a set of sta
Externí odkaz:
http://arxiv.org/abs/2305.02185
Autor:
Hoshino, Tadao, Yanagi, Takahide
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 researchers. We develop a new randomization test utilizing a hierarchic
Externí odkaz:
http://arxiv.org/abs/2301.05580
Autor:
Yanagi, Takahide
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 difficult to estimate treatment parameters defined with the potential outcome
Externí odkaz:
http://arxiv.org/abs/2212.13226
Autor:
Hoshino, Tadao, Yanagi, Takahide
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 of network interference is unknown to researchers. To estimate meanin
Externí odkaz:
http://arxiv.org/abs/2108.07455
Autor:
Hoshino, Tadao, Yanagi, Takahide
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 propose a marginal treatment effect (MTE) framework in which the treatme
Externí odkaz:
http://arxiv.org/abs/2001.09560
Autor:
Hoshino, Tadao, Yanagi, Takahide
Publikováno v:
In Journal of Econometrics October 2023 236(2)
Autor:
Hoshino, Tadao, Yanagi, Takahide
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, we formulate treatment decision behavior as a complete information gam
Externí odkaz:
http://arxiv.org/abs/1810.08350
Autor:
Yanagi, Takahide
We develop point-identification for the local average treatment effect when the binary treatment contains a measurement error. The standard instrumental variable estimator is inconsistent for the parameter since the measurement error is non-classical
Externí odkaz:
http://arxiv.org/abs/1804.03349
Autor:
Okui, Ryo, Yanagi, Takahide
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, and autocorrelations for each unit, and then estimate the parameters
Externí odkaz:
http://arxiv.org/abs/1803.09452