last modified:2025/12/05
Associate Professor TAKANASHI, Seiji

Faculty, Affiliation
Faculty of Economics and Management,Institute of Human and Social Sciences
College and School Educational Field
Division of Economics, Graduate School of Human and Socio-Environmental Studies
Laboratory
Academic Background
Career
Year & Month of Birth
Academic Society
Award
Specialities
Speciality Keywords
Research Themes
Books
Papers
- Two-stage n-person prisoner’s dilemma with social preferences Seiji Takanashi and Makoto Yokoo Proceedings of International Conference of on Autonomous Agents and Multiagent Systems (AAMAS) 2019 2206 2019

- Strategy-Proof and Non-Wasteful Multi-Unit Auction via Social Network Takehiro Kawasaki,Nathanaël Barrot,Seiji Takanashi,Taiki Todo,Makoto Yokoo In Proceedings of International Conference of Autonomous Agents and Multiagent Systems 2019 2206 2020

- Analysis of the core under inequality-averse utility functions Seiji Takanashi Mathematical Social Sciences 129 52 2024/05
- Heterogeneity of ex post fairness and ex ante fairness Seiji Takanashi Economic Theory 80 1085 2025/05
Conference Presentations
- Analysis of the Core under inequality-averse utility functions(conference:UECE Lisbon Meetings in Game Theory and Applications)(2016/11)
- Analysis of the Core under inequality-averse utility functions(conference:The 28th International Conference on Game Theory)(2017/07)
- Ex post fairness and ex ante fairness in social preferences under risk(conference:Asian Meetings of the Econometric Society)(2018/06)
- Two-stage n-person prisoner’s dilemma with social preferences(conference:International Conference of on Autonomous Agents and Multiagent Systems (AAMAS) 2019)(2019/05)
- Fertility decline and school choice: Implications for policy(conference:The 2024 Asia Meeting of the Econometric Society, East & Southeast Asia conference)
Others
Arts and Fieldwork
Patent
Theme to the desired joint research
Grant-in-Aid for Scientific Research
○「事前比較と事後比較の公平性に関する、意思決定論及びゲーム理論的分析」(2021-2023)
○「社会的選好のリスク環境下への拡張方法」(2016-2018)


