Incorporating a stochastic element into decision theories

Abstract Recent papers by Harless and Camerer (1994) and Hey and Orme (1994) have employed two rather different models of errors in decision making under uncertainty. The present paper develops a third approach and shows how different stochastic specifications of the same deterministic ‘core’ theory may generate very different (and sometimes surprising) hypotheses.