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A class of multiattribute utility functions
Authors:András Prékopa  Gergely Mádi-Nagy
Institution:(1) RUTCOR, Rutgers Center for Operations Research, Rutgers University, 640 Bartholomew Road, Piscataway, NJ 08854-8003, USA;(2) Mathematical Institute, Budapest University of Technology and Economics, Műegyetem rakpart 1-3., 1111 Budapest, Hungary
Abstract:A function u(z) is a utility function if u′(z) > 0. It is called risk averse if we also have u′′(z) < 0. Some authors, however, require that u (i)(z) > 0 if i is odd and u (i)(z) < 0 if i is even. The notion of a multiattribute utility function can be defined by requiring that it is increasing in each variable and concave as an s-variate function. A stronger condition, similar to the one in case of a univariate utility function, requires that, in addition, all partial derivatives of total order m should be positive if m is odd and negative if m is even. In this paper, we present a class of functions in analytic form such that each of them satisfies this stronger condition. We also give sharp lower and upper bounds for Eu(X 1,... , X s )] under moment information with respect to the joint probability distribution of the random variables X 1,... , X s assumed to be discrete and representing wealths. Partially supported by OTKA grants F-046309 and T-047340 in Hungary.
Keywords:Multiattribute utility function  Mixed utility function  Expected utility
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