Nonparametric Identification of a Contract Model with Adverse Selection and Moral Hazard.
This paper studies the nonparametric identification of a contract model with adverse selection and moral hazard. Specifically, we consider the false moral hazard model developed by Laffont and Tirole (1986). We first extend this model to allow for general random demand and cost functions. We establi...
| Publicado en: | Econometrica Vol. 79; no. 5; pp. 1499 - 1540 |
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| Autores principales: | , |
| Formato: | Artículo |
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Wiley-Blackwell
September 2011
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=527631783&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 527631783 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00129682 ECN jtl: Econometrica issn: 00129682 maglogo: N pubinfo: dt: September 2011 vid: 79 iid: 5 pid: 480 pub: Wiley-Blackwell artinfo: ui: 527631783 10.3982/ECTA6954 ppf: 1499 ppct: 41 formats: tig: atl: Nonparametric Identification of a Contract Model with Adverse Selection and Moral Hazard. aug: au: Perrigne, Isabelle Vuong, Quang su: Moral hazard Adverse selection (Insurance) Information theory in economics Contracts Mathematical models sug: subj: Moral hazard Adverse selection (Insurance) Information theory in economics Contracts Mathematical models ab: This paper studies the nonparametric identification of a contract model with adverse selection and moral hazard. Specifically, we consider the false moral hazard model developed by Laffont and Tirole (1986). We first extend this model to allow for general random demand and cost functions. We establish the nonparametric identification of the demand, cost, deterministic transfer, and effort disutility functions as well as the joint distribution of the random elements of the model, which are the firm's type and the demand, cost, and transfer shocks. The cost of public funds is identified with the help of an instrument. Testable restrictions of the model are characterized. Reprinted by permission of the publisher. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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