Overconfidence and moral hazard without commitment
Leonidas Enrique de la Rosa and
Nikolaj Niebuhr Lambertsen
Journal of Mathematical Economics, 2025, vol. 119, issue C
Abstract:
We examine the implications of overconfidence in a moral hazard setting with limited commitment. Limited commitment is costly because the principal will always renegotiate to the optimal risk-sharing contract after the agent chooses his effort level. This means that no effort level above the minimum can be implemented in pure strategies when the principal and the agent have homogeneous beliefs. With overconfidence, the optimal risk-sharing contract provides payments that increase in outcome to exploit the agent’s overconfidence. The agent anticipates the exploitative contract and willingly chooses higher than minimum effort in equilibrium. Providing the agent rent can increase the slope of the optimal risk-sharing contract and, therefore, expand the set of implementable effort levels. In a mixed-strategy equilibrium, overconfidence simultaneously decreases the risk in the second-best contract and increases the risk in the optimal risk-sharing contract, increasing the probability of high effort in equilibrium.
Keywords: Overconfidence; Moral hazard; Renegotiation; Commitment (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S030440682500062X
Full text for ScienceDirect subscribers only
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:eee:mateco:v:119:y:2025:i:c:s030440682500062x
DOI: 10.1016/j.jmateco.2025.103145
Access Statistics for this article
Journal of Mathematical Economics is currently edited by Atsushi (A.) Kajii
More articles in Journal of Mathematical Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().