A class of utility functions containing all the common utility functions

This paper presents a class of utility functions (class A \infty ) that contains all of the utility functions commonly used for mathematical modeling: the class consisting of those utility functions whose derivatives alternate in sign. A simple representation via mixtures of exponential utilities is provided for this class which is both mathematically convenient and conducive to functional operations. A connection with Laplace transforms and the resultant implications for preference relations, aggregation and utility assessment are discussed.

[1]  I. J. Schoenberg Metric spaces and completely monotone functions , 1938 .

[2]  THE FORMATION OF GROUPS FOR COOPERATIVE DECISION MAKING UNDER UNCERTAINTY. , 1970 .

[3]  William A. Barnett,et al.  The Muntz-Szatz demand system: An application of a globally well behaved series expansion , 1983 .

[4]  Peter C. Fishburn,et al.  Continua of stochastic dominance relations for bounded probability distributions , 1976 .

[5]  H. Levy,et al.  Efficiency analysis of choices involving risk , 1969 .

[6]  Carmelo Mammana Sul problema algebrico dei momenti , 1954 .

[7]  W. J. Studden,et al.  Tchebycheff Systems: With Applications in Analysis and Statistics. , 1967 .

[8]  Josef Hadar,et al.  Rules for Ordering Uncertain Prospects , 1969 .

[9]  William H. Jean The Extension of Portfolio Analysis to Three or More Parameters , 1971, Journal of Financial and Quantitative Analysis.

[10]  Stephen G. Kellison,et al.  Fundamentals of numerical analysis , 1976 .

[11]  J. Quirk,et al.  Admissibility and Measurable Utility Functions , 1962 .

[12]  William H. Jean The Geometric Mean and Stochastic Dominance , 1980 .

[13]  G. Whitmore,et al.  Third-Degree Stochastic Dominance , 1970 .

[14]  A. Charnes,et al.  Information-Theoretic Non-Parametric Unimodal Density Estimation. , 1984 .

[15]  J. Pratt RISK AVERSION IN THE SMALL AND IN THE LARGE11This research was supported by the National Science Foundation (grant NSF-G24035). Reproduction in whole or in part is permitted for any purpose of the United States Government. , 1964 .

[16]  J. Hammond Simplifying the Choice between Uncertain Prospects Where Preference is Nonlinear , 1974 .

[17]  W. Feller An Introduction to Probability Theory and Its Applications , 1959 .

[18]  K. Arrow Essays in the theory of risk-bearing , 1958 .

[19]  M. Rothschild,et al.  Increasing risk: I. A definition , 1970 .

[20]  V. Bawa OPTIMAL, RULES FOR ORDERING UNCERTAIN PROSPECTS+ , 1975 .

[21]  Robert B. Wilson THE THEORY OF SYNDICATES , 1968 .

[22]  On Müntz' Theorem and Completely Monotone Functions , 1968 .

[23]  P. Farquhar State of the Art—Utility Assessment Methods , 1984 .

[24]  Robert Schlaifer,et al.  Analysis of decisions under uncertainty , 1969 .