Name / Position
SAKAGUCHI, Shosei / Assistant Professor
Ph.D. in Economics, Kyoto University
M.A. in Economics, Kyoto University
B.A. in Business Administration, Kobe University
|2022 April||Assistant Professor, Faculty of Economics, The University of Tokyo|
|2022 January||Research Associate (Postdoctoral Research Fellow), Department of Economics, Brown University|
|2018 December||Research Associate (Postdoctoral Research Fellow), Department of Economics, University College London|
JSPS Postdoctoral Research Fellow, Graduate School of Economics, The University of Tokyo
Econometrics, Machine Learning, Applied Microeconomics
My research interest is in policy learning. I study how to design an optimal public policy from experimental/quasi-experimental data, especially, under the circumstances that feasible policies are externally constrained for ethical, legislative, or political reasons. I am currently working on (i) how to modify/apply machine learning methods to policy learning problems and (ii) how to design optimal dynamic treatment regimes for public policies.
- Sakaguchi, S. (2020). Estimation of average treatment effects using panel data when treatment effect heterogeneity depends on unobserved fixed effects. Journal of Applied Econometrics, 35(3), 315-327.
- Sakaguchi, S. (2016). Estimation of time-varying average treatment effects using panel data when unobserved fixed effects affect potential outcomes differently. Economics Letters, 146, 82-84.
Other Professional Activities and Awards
Other Professional Activities and Services
- Japanese Economic Association, Japan Statistical Society, Econometric Society
- 2018, Excellent Presentation Award, 12th Japanese Statistical Society Spring Meeting
- 2017, IAAE Student’s Best Paper Award, International Association for Applied Econometrics
- 2017, Excellent Presentation Award, 2017 Kansai Keiryo-Keizaigaku Kenkyukai, 2017