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Ultimatum bargaining with envy under incomplete information.
- Source :
-
Mathematical Social Sciences . Jan2024, Vol. 127, p1-11. 11p. - Publication Year :
- 2024
-
Abstract
- We propose an ultimatum bargaining model in which the parties experience an envy-based externality that is private information. Our results indicate that there is a threshold for the proposer's envy which determines whether there will be either a perfectly equitable, certain agreement or an uncertain, inequitable agreement, and that this threshold rises as the distribution of the responder's envy level improves in a first-order stochastic-dominance sense. In addition, conditionally on the scenario ruling out a perfectly equitable agreement, we show that the proposer's envy level plays a dual role: (i) it increases the probability of a negotiation breakdown, and (ii) it constitutes a source of bargaining power. Numerical simulations also allow us to explore some properties of the role played by the responder's envy and by changes in the envy distributions of the two players. Overall, our theoretical results are consistent with the main evidence from ultimatum experiments conducted in behavioral and neuroscience settings. In addition, we provide testable implications of our model for future experiments. • An ultimatum bargaining model with envy and asymmetric information is proposed. • A cutoff for the proposer's envy level determines equitable or inequitable agreements. • This cutoff rises with first-order-stochastic improvements of the responder's envy. • Proposer's envy level increases disagreement probability and confers bargaining power. • Our results are consistent with behavioral evidence and provide testable implications. [ABSTRACT FROM AUTHOR]
- Subjects :
- *ENVY
*BEHAVIORAL neuroscience
*NEGOTIATION
*BARGAINING power
*INFORMATION asymmetry
Subjects
Details
- Language :
- English
- ISSN :
- 01654896
- Volume :
- 127
- Database :
- Academic Search Index
- Journal :
- Mathematical Social Sciences
- Publication Type :
- Academic Journal
- Accession number :
- 174759297
- Full Text :
- https://doi.org/10.1016/j.mathsocsci.2023.11.001