Shosei Sakaguchi

Profile Information

Affiliation: Assistant Professor, Faculty of Economics, The University of Tokyo

Degree: PhD in Economics(Kyoto University)

J-GLOBAL ID: 201901015713397310
researchmap Member ID: B000365681

External link: https://sites.google.com/view/shoseisakaguchi/

Research Interests

Research Areas

Humanities & social sciences / Economic statistics / Econometrics

Research History

Apr, 2022 - Present

Assistant Professor, Faculty of Economics, The University of Tokyo
Jan, 2022 - Mar, 2022

Research Associate, Department of Economics, Brown University
Dec, 2018 - Dec, 2021

Research Associate, Department of Economics, University College London
Apr, 2018 - Dec, 2018

JSPS Postdoctoral Research Fellow, Graduate School of Economics, University of Tokyo
Apr, 2016 - Mar, 2018

JSPS Research Fellow (DC2), Institute of Economic Research, Kyoto University

Education

Apr, 2015 - Mar, 2018

PhD program, Graduate School of Economics, Kyoto University
Apr, 2013 - Mar, 2015

MA program, Graduate School of Economics, Kyoto University
Apr, 2009 - Mar, 2013

BA program, Business Administration, Kobe University

Awards

Jul, 2023

Young Scholars’ Fund (YSF) Award for Asian Meeting of the Econometric Society (AMES) 2023, Doubly Robust Policy Learning for Optimal Dynamic Treatment Regimes with Observational Data, Econometric Society
Mar, 2018

Excellent Presentation Award, 12th Japanese Statistical Society Spring Meeting, Japanese Statistical Society

Shosei Sakaguchi
Jun, 2017

IAAE Student’s Best Paper Award,, International Association for Applied Econometrics (IAAE)

Shosei Sakaguchi
Jan, 2017

Excellent Presentation Award, 2017 Kansai Keiryo-Keizaigaku Kenkyukai, Kansai Keiryo-Keizaigaku Kenkyukai

Shosei Sakaguchi

Papers

Bayesian Synthetic Control Methods with Spillover Effects: Estimating the Economic Cost of the 2011 Sudan Split

Shosei Sakaguchi, Hayato Tagawa

Aug, 2024
Dynamic Targeting: Experimental Evidence from Energy Rebate Programs

Takanori Ida, Takunori Ishihara, Koichiro Ito, Daido Kido, Toru Kitagawa, Shosei Sakaguchi, Shusaku Sasaki

Jun, 2024
Robust Learning for Optimal Dynamic Treatment Regimes with Observational Data

Shosei Sakaguchi

Apr, 2024 Lead author
Collaborative knowledge exchange promotes innovation

Tomoya Mori, Jonathan Newton, Shosei Sakaguchi

Oct 4, 2022
Choosing Who Chooses: Selection-Driven Targeting in Energy Rebate Programs

Takanori Ida, Takunori Ishihara, Koichiro Ito, Daido Kido, Toru Kitagawa, Shosei Sakaguchi, Shusaku Sasaki

Sep, 2022
Paternalism, Autonomy, or Both? Experimental Evidence from Energy Saving Programs

Takanori Ida, Takunori Ishihara, Koichiro Ito, Daido Kido, Toru Kitagawa, Shosei Sakaguchi, Shusaku Sasaki

Dec 18, 2021
Partial Identification and Inference in Duration Models with Endogenous Censoring

Shosei Sakaguchi

forthcoming, Jul 2, 2021 Peer-reviewedLead authorCorresponding author
Constrained Classification and Policy Learning

Toru Kitagawa, Shosei Sakaguchi, Aleksey Tetenov

Jun 24, 2021
Estimation of Optimal Dynamic Treatment Assignment Rules under Policy Constraints

Shosei Sakaguchi

Jun 9, 2021
Estimation of average treatment effects using panel data when treatment effect heterogeneity depends on unobserved fixed effects

Shosei Sakaguchi

Journal of Applied Econometrics, 35(3) 315-327, Apr, 2020 Peer-reviewedLead authorCorresponding author
Creation of knowledge through exchanges of knowledge: Evidence from Japanese patent data

Tomoya Mori, Shosei Sakaguchi

Aug 4, 2019
Estimation of time-varying average treatment effects using panel data when unobserved fixed effects affect potential outcomes differently

Shosei Sakaguchi

ECONOMICS LETTERS, 146 82-84, Sep, 2016 Peer-reviewedLead authorCorresponding author

Presentations

Constrained Classification and Policy Learning

Feb 19, 2025 Invited
Dynamic Targeting: Experimental Evidence from Energy Rebate Programs

Shosei Sakaguchi

Doshisha Economics Workshop, Jan 20, 2025 Invited
Dynamic Targeting: Experimental Evidence from Energy Rebate Programs

Jan 11, 2025
Policy Learning for Optimal Dynamic Treatment Regimes with Observational Data

Shosei Sakaguchi

Keio University Econometrics Workshop, Dec 17, 2024 Invited
Dynamic Policy Targeting: Experimental Evidence from Energy Rebate Programs

Shosei Sakaguchi

JEA Autumn Meeting, Oct 19, 2024
Robust Policy Learning for Optimal Dynamic Treatment Regimes with Observational Data

Shosei Sakaguchi

LMU-Todai Econometrics Workshop, Sep 10, 2024 Invited
Robust Policy Learning for Optimal Dynamic Treatment Regimes with Observational Data

Shosei Sakaguchi

2024 Japanese Joint Statistical Meeting, Sep 4, 2024
Dynamic Policy Targeting: Experimental Evidence from Energy Rebate Programs

Shosei Sakaguchi

2024 Asia Meeting of the Econometric Society, East & Southeast Asia, Aug 4, 2024
Choosing Who Chooses: Selection-Driven Targeting in Energy Rebate Programs

Shosei Sakaguchi

Renmin University of China Energy and Carbon Economics Seminar, May 30, 2024 Invited
Robust Policy Learning for Optimal Dynamic Treatment Regimes with Observational Data

Shosei Sakaguchi

CUHK Shenzhen Econometrics Seminar, May 20, 2024 Invited
Policy Learning for Optimal Dynamic Treatment Regimes with Observational Data

Shosei Sakaguchi

Mar 14, 2024
Policy Learning for Optimal Dynamic Treatment Regimes with Observational Data

Shosei Sakaguchi

Jan 6, 2024
Constrained Classification and Policy Learning

Shosei Sakaguchi

CUHK Econometrics Workshop, Oct, 2023 Invited
Sequential Learning of Optimal Dynamic Treatment Regimes with Observational Data

坂口翔政

Summer Econometrics Forum, Aug, 2023 Invited
Doubly Robust Policy Learning for Optimal Dynamic Treatment Regimes with Observational Data

2023 Asian Meeting of the Econometric Society, Jul, 2023
Choosing Who Chooses: Selection-Driven Targeting in Energy Rebate Programs

坂口翔政

Bravo/JEA/SNSF Workshop on Using Data to Make Decisions, Jul, 2023 Invited
Policy Learning for Optimal Dynamic Treatment Regimes with Observational Data

Workshop on Recent Developments in Econometric Theory and Its Applications 2023, Mar, 2023 Invited
Constrained Classification and Policy Learning

Jan, 2023
Doubly Robust Policy Learning for Optimal Dynamic Treatment Regimes with Observational Data

15th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2022), Dec, 2022 Invited
Constrained Classification and Policy Learning

Oct, 2022 Invited

Professional Memberships

Research Projects

機械学習的手法による動的な公共政策のデザイン

科学研究費助成事業, 若手研究, 日本学術振興会, Apr, 2024 - Mar, 2028

坂口翔政
機械学習的手法によるターゲティング政策のデザイン

科学研究費助成事業, 研究活動スタート支援, 日本学術振興会, Aug, 2022 - Mar, 2024

坂口翔政
動的政策評価における政策効果の異質性の検定と政策割り当てルールの統計的決定

科学研究費助成事業, 特別研究員奨励費, 日本学術振興会, Apr, 2018 - Mar, 2019

坂口翔政
パネルデータを用いた固定効果が存在する下での平均動学的処置効果の推定方法の開発

科学研究費助成事業, 特別研究員奨励費, 日本学術振興会, Apr, 2016 - Mar, 2018

坂口翔政

Profile Information

Research Interests

Research Areas

Research History

Education

Awards

Papers

Presentations

Professional Memberships

Research Projects

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