no code implementations • 3 May 2023 • Shunsuke Imai, Lei Qin, Takahide Yanagi
We consider 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 of Callaway and Sant'Anna (2021).
no code implementations • 26 Dec 2022 • 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.
no code implementations • 27 Jan 2020 • Tadao Hoshino, Takahide Yanagi
This paper studies treatment effect models in which individuals are classified into unobserved groups based on heterogeneous treatment rules.
no code implementations • 19 Oct 2018 • Tadao Hoshino, Takahide Yanagi
This study considers treatment effect models in which others' treatment decisions can affect both one's own treatment and outcome.