 An Adverse Selection Model of Optimal Unemployment InsuranceMarcus Hagedorn and Ashok Kaul No 154, Computing in Economics and Finance 2004 from Society for Computational Economics Abstract: We derive the shape of optimal unemployment insurance (UI) contracts when agents can exert search effort but face different search costs and have private information about their type. We derive a recursive solution of our dynamic adverse selection problem with repeated moral hazard. Conditions under which the UI agency should always offer separating contracts are identified. We show that the good searcher receives an information rent and that the bad searcher receives the minimal entitlement. From a methodological point of view, we achieve a precise characterization of the sets of jointly feasible entitlements. This allows us to map our analytical results one-to-one to a numerical algorithm. According to our results the contract for the good searcher has a decreasing benefit profile, as the one he would be offered in a pure moral hazard environment. In contrast, the contract of the bad searcher is distorted by an adverse selection effect, so that it tends to have an upward-sloping benefit profile. We provide a comparative static analysis of changes in various parameters of our model. Keywords: Unemployment Insurance; Recursive Contracts; Adverse Selection; Repeated Moral Hazard (search for similar items in EconPapers) There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it. Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:sce:scecf4:154 Access Statistics for this paper More papers in Computing in Economics and Finance 2004 from Society for Computational Economics Contact information at EDIRC. |
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