Shunsuke Imai
Biographic Data
| ID | 8920602 |
|---|---|
| NAME | Shunsuke Imai |
| GIVEN NAMES | Shunsuke |
| FAMILY NAME | Imai |
| SIGNATURE | IMAI S |
| AFFILIATIONS | Graduate School of Economics, Kyoto University, Kyoto, Japan |
| ORCID | 0000-0002-4307-7599 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
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 …
Fully Data-Driven Normalized and Exponentiated Kernel Density Estimator with Hyvärinen Score
Recently, Jewson and Rossell proposed a new approach for kernel density estimation using an exponentiated form of kernel density estimators. The density estimator contained two hyperparameters that flexibly controls the smoothness of the resulting density. We tune them in a data-driven manner by minimizing an objective function based on the Hyvärinen score to avoid the optimization involving the intractable normalizing constant caused by the expo…
No prominent works on this page.
Fully Data-Driven Normalized and Exponentiated Kernel Density Estimator with Hyvärinen Score
Recently, Jewson and Rossell proposed a new approach for kernel density estimation using an exponentiated form of kernel density estimators. The density estimator contained two hyperparameters that flexibly controls the smoothness of the resulting density. We tune them in a data-driven manner by minimizing an objective function based on the Hyvärinen score to avoid the optimization involving the intractable normalizing constant caused by the expo…
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 …
Statistical Methods and Inference (2 works) · Advanced Causal Inference Techniques (1 work) · Artificial Intelligence (1 work) · Combinatorics (1 work) · Computer Science (1 work) · Confidence interval (1 work) · Confidence region (1 work) · Control Systems and Identification (1 work) · Econometrics (1 work) · Estimator (1 work)