Kei Ikegami
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CV

Kei Ikegami

Lecturer (tenured), Yokohama City University
Email: ikegami.kei.pr [at] yokohama-cu.ac.jp
Website: keiikegami.github.io

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Economist working in empirical industrial organization, econometrics, and market design. My research combines Japanese platform, healthcare, and procurement data with structural estimation and counterfactual policy analysis.

Academic Appointments

  • Yokohama City University, Lecturer (tenured), April 2026–present
  • University of Tokyo, Research Assistant Professor at UTMD, 2025–2026

Education

  • PhD in Economics, New York University, 2020–2025
  • MA in Economics, The University of Tokyo, 2018–2020
  • BA in Economics, The University of Tokyo, 2013–2018

Research Fields

  • Industrial Organization
  • Econometrics
  • Market Design
  • Auctions and Matching

Publications

  • Kei Ikegami, Ken Onishi, and Naoki Wakamori,
    Competition-Driven Physician-Induced Demand,
    Journal of Health Economics, Vol. 79, September 2021

  • Kei Ikegami, Kyohei Okumura, and Takumi Yoshikawa,
    A Simple, Fast, and Safe Mediator for Congestion Management,
    AAAI 2020 (Oral and Poster presentation)

Working Papers

  • Policy Learning by a Magician

  • Remembering the Shogun Era: Long-Run Effects of a Catastrophe on Policymaking over 160 years
    with Hikaru Kawarazaki
    Supplemental Appendix

  • Who Is Shown to Whom? Sorting, Screening, and Exposure Design on a Two-Sided Matching Platform
    Accepted for WINE 2026

  • Caps vs. Prices: Regulating Matching Markets with Distributional Disparities
    with Atsushi Iwasaki, Akira Matsushita, and Kyohei Okumura
    EC 2025 (Exemplary Paper Award, Empirics Track)

  • Joint Venture Formation in Procurement Auctions
    with Ken Onishi and Naoki Wakamori

Work in Progress

  • The Signal Magician: Online Allocation with Imperfect Screening
    with Shuhei Otani and Yuta Nakamura

  • Bargaining over Leasing Contracts

  • Wage Stagnation in Daycare Industry: A Two-Sided Market Perspective
    with Kan Kuno

  • Recommendation and Long-run Matching Outcomes
    Presented at SWET 2026

  • Procuring Hunting Effort

Research and Industry Experience

  • CyberAgent, Research Intern, 2023
  • Center for Research and Education in Program Evaluation (CREPE), Trainee, 2018–2020
  • Preferred Networks, Intern and Part-time Engineer, 2018–2019

Selected Presentations

Upcoming

  • 2026: The Chinese University of Hong Kong (CUHK) seminar; WINE 2026; APIOC 2026

Recent

  • 2026: SWET, SSCW, MATCH-UP, IIOC
  • 2025: ESWC, EC 2025, HKUST(GZ), Penn State, IIOC
  • 2024: UTMD Rising Stars in Market Design, APIOC, JEMIOW, NYU seminars, AEA Annual Meeting
  • 2023: Yokohama National University, Otaru University of Commerce, JEMIOW, KCL (QPE Workshop), NYU Student Econometrics Lunch
  • 2022: APIOC, Waseda University Applied Econometrics Conference

Professional Service

  • Reviewer, ACM Conference on Economics and Computation (EC)

Teaching

Current Courses

  • Econometrics (Undergraduate), Yokohama City University
  • Econometrics (Graduate), Yokohama City University

Previous Teaching

  • Teaching Assistant, Econometrics (PhD), New York University, 2021–2022
  • Teaching Assistant, Econometrics (MS in Quantitative Economics), New York University, 2022–2023

Honors and Fellowships

  • MacCracken Fellowship, 2020–2025
  • CREPE Scholarship Program, 2018–2020
  • Distinguished Graduation Thesis

Grants

  • JSPS KAKENHI, Grant-in-Aid for Early-Career Scientists
    Principal Investigator, April 2026–March 2029
    Understanding Firm and Consumer Behavior in the Healthcare Industry, Grant No. JP26K16347

  • IPA MITOU Advanced Program
    FY2019, JPY 10,000,000 (project total)
    Development of CRAB: A Congestion Control System Using Mechanism Design and Machine Learning
    with Akira Matsushita and Kyohei Okumura

Skills

  • Programming: Python, R, Julia, Stata
  • Languages: Japanese (native), English (fluent)
  • Citizenship: Japan