Hayato Tagawa

Faculty of Economics, Graduate School of Economics, University of Tokyo (PhD program)

  • Research fields: econometrics, panel data analysis, causal inference, and spatial econometrics
  • JSPS Research Fellow DC2 (April 2026–present)

7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan

hayato-tagawa [at] g.ecc.u-tokyo.ac.jp

Hayato Tagawa

Technical Skills

  • Languages: Python, R, Julia, SQL
  • Tools: Git, Docker

Publications


Working Papers

  • Identification and Estimation of Staggered Difference-in-Differences with Network Spillovers [arXiv]

Presentations

  • Summer Workshop on Economic Theory (SWET) 2026 — August 4, 2026 (Otaru, Hokkaido, Japan)
    • Identification and Estimation of Staggered Difference-in-Differences with Network Spillovers
  • International Panel Data Conference (IPDC) 2026 — July 6–7, 2026 (Exeter, UK)
    • Structural Break Detection in Spatial Autoregressive Model Using GMM
  • International Symposium on Econometric Theory and Applications (SETA) 2026 — June 11–12, 2026 (Tokyo, Japan)
    • Structural Break Detection in Spatial Autoregressive Model Using GMM
  • Kansai Econometrics Study Group Meeting — January 10–11, 2026
    • Structural Break Detection in Spatial Autoregressive Model Using GMM
  • LMU-Todai Econometrics Workshop — September 2025
  • Japanese Statistical Society Spring Meeting — March 9, 2024 (poster)
    • Bayesian Synthetic Control Method with Spillover Effects: Estimating the Economic Costs of the 2011 Sudan Split
  • Kansai Econometrics Study Group Meeting — January 6–7, 2024
    • Bayesian Synthetic Control Method with Spillover Effects: Estimating the Economic Costs of the 2011 Sudan Split

Awards

  • Best Student Presentation Award — Japanese Statistical Society Spring Meeting, March 2024
  • Best Presentation Award — Kansai Econometrics Study Group Meeting, January 2024

Professional Experience

  • Data Engineer / Data Scientist, April 2024 – Present
    • Built and maintained data pipelines and analytics infrastructure for internal decision-making and client-facing analytical projects.
    • Tools: Python, SQL, dbt, Snowflake, Airflow, Git, Docker, Terraform.