Professor Ehud Lehrer ehud.m.lehrer@durham.ac.uk
Professor in Economics
Allocation in multi-agenda disputes: A set-valued games approach
Lehrer, Ehud; Teper, Roee
Authors
Roee Teper
Abstract
We study allocation problems when agents negotiate across different agendas. Unlike existing papers on multi-agenda disputes, we consider environments in which resources are constrained and investing (time or effort) in one agenda reduces the ability to invest in other agendas. We introduce a class of cooperative games, referred to as set-valued games (SVG): The value of each coalition is a subset of payoff vectors. Each vector is associated with a distribution of the resources that the coalition may allocate across the agendas. In this environment we introduce and analyze the notion of the core. We show that the core allows for more cooperation opportunities and exchanging favors than existing cooperative multi-agenda models. Proving this relies on a general notion of a comparative advantage. It is shown that the classical core characterization, resorting to duality, does not hold in the current setup.
Citation
Lehrer, E., & Teper, R. (2020). Allocation in multi-agenda disputes: A set-valued games approach. Games and Economic Behavior, 122, 440-452. https://doi.org/10.1016/j.geb.2020.04.008
Journal Article Type | Article |
---|---|
Online Publication Date | May 21, 2020 |
Publication Date | 2020-07 |
Deposit Date | Aug 16, 2023 |
Journal | Games and Economic Behavior |
Print ISSN | 0899-8256 |
Electronic ISSN | 1090-2473 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 122 |
Pages | 440-452 |
DOI | https://doi.org/10.1016/j.geb.2020.04.008 |
Keywords | Economics and Econometrics; Finance |
Public URL | https://durham-repository.worktribe.com/output/1719477 |
You might also like
Interpersonal independence of knowledge and belief
(2024)
Journal Article
Aggregating Inconclusive Data Sets
(2024)
Journal Article
The Value of Information in Stopping Problems
(2023)
Journal Article
Markovian Persuasion
(2023)
Journal Article
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search