Generalized expected utility models have enjoyed considerable success
in explaining observed choices under uncertainty. However, there has b
een only limited progress in deriving comparative static results. This
paper presents a general framework which permits the incorporation of
a wide range of generalized expected utility models, but is sufficien
tly powerful to permit the derivation of comparative static results. T
he central idea is to represent preferences by the expected utility of
a transformed probability distribution.