MOMI Takeshi 茂見岳志

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Momi Takeshi 茂見岳志

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Researcher Number	40367967
Other IDs
Affiliation (Current)	2025: 同志社大学, 経済学部, 教授
Affiliation (based on the past Project Information) *help	2014 – 2023: 同志社大学, 経済学部, 教授
Review Section/Research Field	Principal Investigator Basic Section 07010:Economic theory-related / Economic theory
Keywords	Principal Investigator 最適性 / 偏微分方程式 / 交換経済 / 耐戦略性 / パレート最適性 / 社会的選択関数 / メカニズムデザイン / 多人数経済 / 独裁

Research Projects
(2 results)
Research Products
(3 results)

メカニズムデザインにおける偏微分方程式アプローチPrincipal Investigator
- Principal Investigator
  
  茂見岳志
- Project Period (FY)
  2020 – 2024
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 07010:Economic theory-related
- Research Institution
  Doshisha University
Social choice theory: partial differential equation approachPrincipal Investigator
- Principal Investigator
  
  Momi Takeshi
- Project Period (FY)
  2014 – 2019
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Research Field
  
  Economic theory
- Research Institution
  Doshisha University

All 2022 2020 2017

All Journal Article

[Journal Article] Locally efficient and strategy-proof allocation mechanisms in exchange economies2022
- Author(s)
  Momi Takeshi
- Journal Title
  
  Review of Economic Design
  
  Volume: - Issue: 4 Pages: 791-824
- DOI
  10.1007/s10058-022-00324-4
- Data Source
  KAKENHI-PROJECT-20K01568
[Journal Article] Efficient and strategy-proof allocation mechanisms in many-agent economies2020
- Author(s)
  Takeshi　Momi
- Journal Title
  
  Social Choice and Welfare
  
  Volume: - Issue: 2 Pages: 325-367
- DOI
  10.1007/s00355-020-01248-0
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-26380250, KAKENHI-PROJECT-20K01568
[Journal Article] Efficient and strategy-proof allocation mechanisms in economies with many goods2017
- Author(s)
  Momi Takeshi
- Journal Title
  
  Theoretical Economics
  
  Volume: 12 Issue: 3 Pages: 1267-1306
- DOI
  10.3982/te1792
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-26380250