A Comparison of the Estimates of Expected Utility and Non-Expected-Utility Preference Functionals

Enrica Carbone () and John Hey

The Geneva Risk and Insurance Review, 1995, vol. 20, issue 1, 133 pages

Abstract: This paper extends the literature on the estimation of expected utility and non-expected-utility preference functionals (and the consequent exploration of the superiority of non-expected-utility over expected utility preference functionals) to a comparison of two different ways (pairwise choice and complete ranking) of experimentally obtaining data on such preferences. What is revealed is that the magnitude of the subject error is clearly conditional on the elicitation method used and, rather alarmingly, that the preference functional apparently employed by the subject may also be conditional on the elicitation method. The Geneva Papers on Risk and Insurance Theory (1995) 20, 111–133. doi:10.1007/BF01098961

Date: 1995
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