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pro vyhledávání: '"Shosei Sakaguchi"'
Autor:
Takanori Ida, Takunori Ishihara, Koichiro Ito, Daido Kido, Toru Kitagawa, Shosei Sakaguchi, Shusaku Sasaki
Publikováno v:
NBER Working Papers; Jun2024, Issue 32508-32589, p1-46, 47p
Autor:
Shosei Sakaguchi
This paper studies identification and inference in transformation models with endogenous censoring. Many kinds of duration models, such as the accelerated failure time model, proportional hazard model, and mixed proportional hazard model, can be view
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c24ad4fc5b90d627adf4b4f27534751
Autor:
Shosei Sakaguchi
This paper studies identification and inference in transformation models with endogenous censoring. Many kinds of duration models, such as the accelerated failure time model, proportional hazard model, and mixed proportional hazard model, can be view
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6f82e72842b35aa56020fa448aae0d3
https://doi.org/10.1920/wp.cem.2020.820
https://doi.org/10.1920/wp.cem.2020.820
Autor:
Shosei Sakaguchi
Publikováno v:
SSRN Electronic Journal.
This paper proposes a new panel data approach to identify and estimate the time‐varying average treatment effect (ATE). The approach allows for treatment effect heterogeneity that depends on unobserved fixed effects. In the presence of this type of
Autor:
Shosei Sakaguchi
Publikováno v:
Economics Letters. 146:82-84
This paper proposes a new approach to estimate the time-varying average treatment effect using panel data to control for unobserved fixed effects. The approach allows identifying the average treatment effect on the entire population, even if the fixe