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dc.creatorDenuit, Michel M.
dc.creatorEeckhoudt, Louis
dc.creatorLiu, Liqun
dc.creatorMeyer, Jack
dc.date2015
dc.date.accessioned2023-10-02T15:53:22Z
dc.date.available2023-10-02T15:53:22Z
dc.date.issued2015-03-26
dc.identifier.urihttps://hdl.handle.net/1969.1/199442
dc.descriptionRetirement_Savings
dc.description.abstractBesides risk aversion, decision makers are often assumed to be downside risk averse. In order to investigate tradeoffs that downside risk averse decision makers face, this paper proposes five stochastic orders, each corresponding to a tradeoff involving a downside risk increase. In addition to obtaining their respective CDF characterizations, these orders are also combined with Ross more risk aversion and two versions of Ross more downside risk aversion to produce comparative static theorems identifying the choices of decision makers relative to that of a reference decision maker. The paper concludes with analysis of the decision to self-protect, a decision that increases downside risk along with making other changes. This exercise not only shows that all five stochastic orders studied in this paper find corresponding tradeoffs in the self-protection model, it also demonstrates that these five tradeoffs are the only meaningful tradeoffs that the standard self-protection model creates. Therefore, the concepts and results presented here provide a systematic and complete treatment of the relationship between self-protection and risk preferences.en
dc.format.mediumElectronicen
dc.format.mimetypepdf
dc.language.isoen_US
dc.publisherPrivate Enterprise Research Center, Texas A&M University
dc.relationRetirement_Savingsen
dc.relation.ispartof1503
dc.rightsNO COPYRIGHT - UNITED STATESen
dc.rights.urihttps://rightsstatements.org/page/NoC-US/1.0/?language=en
dc.subject1503en
dc.subjectRisken
dc.subjectDownside risken
dc.subjectRisk aversionen
dc.subjectPrudenceen
dc.subjectSelf-Protectionen
dc.titleTradeoffs for Downside Risk-Averse Decision-Makers and the Self-Protection Decisionen
dc.typeWorkingPapersen
dc.type.materialTexten
dc.type.materialStillImageen
dc.format.digitalOriginborn digitalen
dc.publisher.digitalTexas A&M University. Library


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