Alain Chateauneuf () (CERMSEM - CEntre de Recherche en Mathématiques, Statistique et Économie Mathématique - CNRS : UMR8095 - Université Panthéon-Sorbonne - Paris I) Michèle Cohen () (EUREQUA - Equipe Universitaire de Recherche en Economie Quantitative - CNRS : UMR8594 - Université Panthéon-Sorbonne - Paris I) Isaac Meilijson () (School of mathematical science - Tel Aviv University)
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This article presents various notions of risk generated by the intuitively appealing single-crossing operations between distribution functions. These stochastic orders, Bickel & Lehmann dispersion or (its equal-mean version) Quiggin's monotone mean-preserving increase in risk and Jewitt's location-independent risk, have proved to be useful in the study of Pareto allocations, ordering of insurance premia and other applications in the Expected Utility setup. These notions of risk are also relevant tothe Quiggin-Yaari Rank-dependent Expected Utility (RDEU) model of choice among lotteries. Risk aversion is modeled in the vNM Expected Utility model by Rothschild & Stiglitz's Mean Preserving Increase in Risk (MPIR). Realizing that in the broader rank-dependent set-up this order is too weak to classify choice, Quiggin developed the stronger monotone MPIR for this purpose. This paper reviews four notions of mean-preserving increase in risk - MPIR, monotoneMPIR and two versions of location-independent risk (renamed here left and right monotone MPIR) - and shows which choice questions are consistently modeled by each of these four orders.
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Length: Date of creation: 2004 Date of revision: Publication status: Published, Journal of Mathematical Economics, 2004, 40, 547-571 Handle: RePEc:hal:cesptp:halshs-00212281_v1
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Zank, Horst & Schmidt, Ulrich & Diecidue, Enrico, 2007.
"Parametric Weighting Functions,"
Economics Working Papers
2007,01, Christian-Albrechts-University of Kiel, Department of Economics.
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