Takahide Yanagi
Biographic Data
| ID | 8921544 |
|---|---|
| NAME | Takahide Yanagi |
| GIVEN NAMES | Takahide |
| FAMILY NAME | Yanagi |
| SIGNATURE | YANAGI T |
| AFFILIATIONS | Graduate School of Economics, Kyoto University |
| ORCID | 0000-0003-3975-5518 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2026 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Conditional Randomization Tests for the Specification of Interference Structure
This study proposes specification tests for interference structure in causal inference with spillovers. We focus on experimental settings in which the treatment assignment mechanism is known. To test whether a given exposure mapping adequately summarizes the true interference structure, we develop conditional randomization tests by utilizing the hierarchical relationship between the null and alternative exposure mappings. When there are multiple …
Doubly Robust Uniform Confidence Bands for Group-Time Conditional Average Treatment Effects in Difference-in-Differences
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 difference-in-differences setting of Callaway and Sant’Anna (2021). Under standard identification conditions, a doubly robust estimand conditional on the covariate identifies the group-time conditional average treatment effect given the covariate. Focusing on the case of a …
No prominent works on this page.
Conditional Randomization Tests for the Specification of Interference Structure
This study proposes specification tests for interference structure in causal inference with spillovers. We focus on experimental settings in which the treatment assignment mechanism is known. To test whether a given exposure mapping adequately summarizes the true interference structure, we develop conditional randomization tests by utilizing the hierarchical relationship between the null and alternative exposure mappings. When there are multiple …
Doubly Robust Uniform Confidence Bands for Group-Time Conditional Average Treatment Effects in Difference-in-Differences
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 difference-in-differences setting of Callaway and Sant’Anna (2021). Under standard identification conditions, a doubly robust estimand conditional on the covariate identifies the group-time conditional average treatment effect given the covariate. Focusing on the case of a …
Advanced Causal Inference Techniques (2 works) · Bayesian Modeling and Causal Inference (1 work) · Causal inference (1 work) · Confidence interval (1 work) · Confidence region (1 work) · Health Systems, Economic Evaluations, Quality of Life (1 work) · Inference (1 work) · Multiple comparisons problem (1 work) · Null hypothesis (1 work) · Qualitative Comparative Analysis Research (1 work)