The effect of risk aversion on the outcomes of inspection games
Yael Deutsch and
Boaz Golany
Journal of the Operational Research Society, 2018, vol. 69, issue 5, 645-660
Abstract:
In this work, we study how risk aversion behavior affects the final outcomes of inspection games. We formulate two nonzero-sum parametric games between an inspector and an agent, which are distinguished by the players’ risk behaviors: risk aversion or risk neutrality. Both games are solved efficiently, and closed-form equilibria solutions are provided. The solutions of the two games are compared with each other and with a third game where both players are risk neutral. Analysis of the results reveals that the risk aversion of the agent has a stronger effect than that of the inspector, since the equilibrium strategies and utilities of both players depend on the risk aversion of the agent, whereas only the agent’s equilibrium strategies and the inspector’s equilibrium utility depend on the risk aversion of the inspector. Analysis of an incomplete information game version, when the agent has a private risk attitude, reveals that in order to know how to act in equilibrium, the inspector must know the probability that the agent is risk averse.
Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://hdl.handle.net/10.1057/s41274-017-0284-6 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:tjorxx:v:69:y:2018:i:5:p:645-660
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tjor20
DOI: 10.1057/s41274-017-0284-6
Access Statistics for this article
Journal of the Operational Research Society is currently edited by Tom Archibald
More articles in Journal of the Operational Research Society from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().