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On a Statistical Approach to Choice under Uncertainty

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  • Rotar, Vladimir I

Abstract

This article is concerned with criteria of choice under uncertainty which are based on long sequences of independent experiments. To state a rule of comparison for such sequences, we first specify it for sequences of certain numbers (say, of certain incomes). Eventually, the problem is reduced to a connection between preferences on sequences of certain numbers and those on probability distributions. We take into consideration a notion of statistically stable criteria for which choice based on a single random experiment does not disagree with that based on a "sufficiently long" sequence of independent replicas of the same experiment. The main aim of the article is to establish conditions under which a statistically stable criterion exists and to give it explicit representation. Copyright 1994 by Kluwer Academic Publishers

Suggested Citation

  • Rotar, Vladimir I, 1994. "On a Statistical Approach to Choice under Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 9(1), pages 93-107, July.
  • Handle: RePEc:kap:jrisku:v:9:y:1994:i:1:p:93-107
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