SAKAGUCHI, Shosei
Name / Position
SAKAGUCHI, Shosei / Assistant Professor
Website
sakaguchi@e.u-tokyo.ac.jp
Curriculum Vitae
Education
2018 March | Ph.D. in Economics, Kyoto University |
2015 March | M.A. in Economics, Kyoto University |
2013 March | B.A. in Business Administration, Kobe University |
Professional Experience
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 |
2018 April | JSPS Postdoctoral Research Fellow, Graduate School of Economics, The University of Tokyo |
Research Field
Econometrics, Machine Learning, Applied Microeconomics
Research Theme
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.
Publications
Articles
- 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
Awards
- 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