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Bernard Salanié

Researcher at Columbia University

Publications -  115
Citations -  7352

Bernard Salanié is an academic researcher from Columbia University. The author has contributed to research in topics: Matching (statistics) & Information asymmetry. The author has an hindex of 41, co-authored 115 publications receiving 7075 citations. Previous affiliations of Bernard Salanié include Centre national de la recherche scientifique & ENSAE ParisTech.

Papers
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Journal ArticleDOI

Testing for Asymmetric Information in Insurance Markets

TL;DR: In this paper, the authors provide a simple and general test of the presence of asymmetric information in contractual relationships within a competitive context, and they also argue that insurance data are particularly well suited to such empirical investigations.
Book

The Economics of Contracts: A Primer

TL;DR: The economics of contracts as discussed by the authors is an excellent introduction to the theory of contract theory, particularly the basic models of adverse selection, signaling, and moral hazard, with the limited liability model, career concerns, and common agency added to its topics.
Book ChapterDOI

Advances in Economics and Econometrics: Testing Contract Theory: A Survey of Some Recent Work

TL;DR: A survey of recent empirical work on contracts can be found in this paper, where the focus throughout is on the need to properly account for unobserved heterogeneity and the need for empirical validation of contracts.
Journal ArticleDOI

Asymmetric information in insurance: general testable implications

TL;DR: In this paper, the authors show that the positive correlation between coverage and ex post risk can be extended to general setups: competitive insurance markets and cases where risk aversion is public, and they also suggest the presence of market power.
Posted Content

Testing Contract Theory: A Survey of Some Recent Work

TL;DR: A survey of recent empirical work on contracts can be found in this paper, where the focus throughout is on the need to properly account for unobserved heterogeneity and the need for empirical validation of contracts.