On the statistical foundations of non-linear utility theory: The case of status quo-dependent preferences

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Abstract

An account of non-expected utility is given which resumes concepts of μ-σ-analysis from statistical decision theory and combines them with standard principles of preference theory such as weak order, continuity and stochastic dominance. A three-parameter family of probability-dependent utility functions is specified, which is governed by the decision maker's aspiration level, distribution of present wealth, or status quo, and discount parameter for future risks. The approach offers a simple resolution of the Allais Paradox and explains basic patterns of probability-dependent risk attitudes arising in theoretical and applied decision analysis.

Original languageEnglish
Pages (from-to)449-465
Number of pages17
JournalEuropean Journal of Operational Research
Volume136
Issue number2
DOIs
StatePublished - 16 Jan 2002

Keywords

  • Decision analysis
  • Generalised expected utility
  • Non-linear preference theory
  • Risk analysis
  • Status quo-dependent decision making
  • Utility theory

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