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  • Print publication year: 1993
  • Online publication date: June 2012

Appendix A - Expected utility theory with examples

Summary

In this appendix we prove two key theorems of the von Neumann–Morgenstern (NM) utility theory, using a numerical example along with the general case. Thereafter various illustrations are offered of how to apply expected utility (EU) theory.

EU axioms and theorems

This subsection states the von Neumann–Morgenstern (1947) axioms and proves that they imply expected utility maximization as the appropriate choice rule. Our approach follows that of Baumol (1977). Lotteries will be denoted as [p: A, B], meaning a p chance of getting A and a (1 - p) chance of getting B. The NM axioms are as follows:

Transitivity: If A > B and B > C then A > C, where > denotes “at least as preferred as.”

Continuity: For any three ordered outcomes A, B, and C, there exists a probability p such that B ∼ [p: A, C], where ∼ denotes indifference.

Independence: For any four outcomes A, B, C, and D, if AB and CD then [p: A, C] ∼ [p: B, D] for any p.

Stochastic Dominance: If A > B, then [r: A, B] > [r′: A, B] whenever r > r′.

Reduction: For any alternatives A and B and probabilities p, p1 and p2 [p: [Pl: A, B], [p2: A, B]] ∼ [r: A, B] where r = pp1] + (1 - p)p2.