Takahide Yanagi
Associate Professor of Economics
Econometrics & Causal Inference
yanagi [at] econ.kyoto-u.ac.jp
Takahide Yanagi
Associate Professor of Economics
Econometrics & Causal Inference
yanagi [at] econ.kyoto-u.ac.jp
Publications
Imai, S., Qin, L., & Yanagi, T. (2025). Doubly robust uniform confidence bands for group-time conditional average treatment effects in difference-in-differences. Accepted for publication in Journal of Business & Economic Statistics.
(arXiv) (R package)
Hoshino, T., & Yanagi, T. (2024). Causal inference with noncompliance and unknown interference. Journal of the American Statistical Association, 119(548), 2869-2880.
(arXiv) (R package)
Hoshino, T., & Yanagi, T. (2023). Treatment effect models with strategic interaction in treatment decisions. Journal of Econometrics, 236(2), 105495.
(arXiv)
Hoshino, T., & Yanagi, T. (2022). Estimating marginal treatment effects under unobserved group heterogeneity. Journal of Causal Inference, 10(1), 197-216.
(arXiv)
Okui, R., & Yanagi, T. (2020). Kernel estimation for panel data with heterogeneous dynamics. The Econometrics Journal, 23(1), 156-175.
(arXiv) (R package) (Stata package)
Okui, R., & Yanagi, T. (2019). Panel data analysis with heterogeneous dynamics. Journal of Econometrics, 212(2), 451-475.
(arXiv) (R package) (Stata package)
Yanagi, T. (2019). Inference on local average treatment effects for misclassified treatment. Econometric Reviews, 38(8), 938-960.
(arXiv) (R package)
Preprints
Hoshino, T., & Yanagi, T. (2025). Randomization test for the specification of interference structure. Revision requested by Journal of Applied Econometrics.
(arXiv) (R package)
Hoshino, T., & Yanagi, T. (2025). Estimating dyadic treatment effects with unknown confounders.
(arXiv) (Slides)
Yanagi, T. (2023). An effective treatment approach to difference-in-differences with general treatment patterns.
(arXiv) (R package) (Slides)
Yanagi, T. (2018). Regression discontinuity designs with nonclassical measurement errors.
(SSRN)
Yanagi, T. (2015). The effect of measurement error in the sharp regression discontinuity design.
(WP)
Awards
2025 Japan Statistical Society Research Award
2017 Kansai Econometrics Meeting Best Presentation Award
2012 Japan Statistical Society Student Excellent Presentation Award