A Bayesian Approach to Uncertainty Aversion
The Ellsberg paradox demonstrates that people's beliefs over uncertain events might not be representable by subjective probability. We show that if a risk averse decision maker, who has a well defined Bayesian prior, perceives an Ellsberg type decision problem as possibly composed of a bundle of several positively correlated problems, she will be uncertainty averse. We generalize this argument and derive sufficient conditions for uncertainty aversion. Copyright 2005, Wiley-Blackwell.
Volume (Year): 72 (2005)
Issue (Month): 2 ()
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