Optimal equilibrium contracts in the infinite horizon with no commitment across periods

dc.contributor.authorChakrabarti, Subir K.
dc.contributor.authorKim, Jaesoo
dc.contributor.departmentEconomics, School of Liberal Arts
dc.date.accessioned2024-01-10T17:46:34Z
dc.date.available2024-01-10T17:46:34Z
dc.date.issued2023-04
dc.description.abstractThe paper studies equilibrium contracts under adverse selection when there is repeated interaction between a principal and an agent over an infinite horizon, without commitment across periods. We show the second-best contract is offered in a perfect Bayesian equilibrium of the infinite horizon model. Unlike the equilibrium contracts in the finite-horizon, the equilibrium contracts in the infinite horizon are not subject to either the ratchet effect or take-the-money-and-run strategy, but rely on a carrot and stick strategy. We study two important applications, one of which is about the optimal regulation of a publicly-held firm. This application has a mixture of both moral hazard and adverse selection. The other application is to the problem of optimal nonlinear pricing when the valuation of the buyers are drawn from a continuum.
dc.eprint.versionAuthor's manuscript
dc.identifier.citationChakrabarti, S. K., & Kim, J. (2023). Optimal equilibrium contracts in the infinite horizon with no commitment across periods. Theory and Decision, 94(3), 379–404. https://doi.org/10.1007/s11238-022-09894-9
dc.identifier.urihttps://hdl.handle.net/1805/37947
dc.language.isoen_US
dc.publisherSpringer
dc.relation.isversionof10.1007/s11238-022-09894-9
dc.relation.journalTheory and Decision
dc.rightsPublisher Policy
dc.sourceAuthor
dc.subjectAdverse Selection
dc.subjectGames with incomplete information
dc.subjectOptimal Contracts with Commitment
dc.subjectPooling Contracts
dc.subjectSeparating Contracts
dc.subjectPerfect Bayesian Equilibrium
dc.subjectOptimal Contracts with No commitment
dc.titleOptimal equilibrium contracts in the infinite horizon with no commitment across periods
dc.typeArticle
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