Auction theory has emphasized the importance of private information to the profits of bidders. However, the theory has failed to consider the question of whether or not bidders will be able to keep their information private. We show that in a variety of contexts bidders will reveal all their...

Policemen are known to support colleagues who are the subject of criminal investigations. While we might expect guilty officers to defend each other, why do law-abiding policemen defend those who have broken the law? We investigate under what conditions it is in the interest of a group to defend...

We conduct two experimental tests of the claim that people are overconfident, using new tests of overplacement that are based on a formal Bayesian model. Our two experiments, on easy quizzes, find that people overplace themselves. More precisely, we find apparently overconfident data that cannot...

Policemen are known to support colleagues who are the subject of criminal investigations. Although we might expect guilty officers to defend each other, why do (otherwise) law-abiding policemen defend those who have broken the law? We investigate under what conditions it is in the interest of a...

We conduct two experiments of the claim that people are overconfident. We develop new tests of overplacement which are based on a formal Bayesian model. Our two experiments, on easy quizzes, find overplacement. More precisely, we find apparently overconfident data that cannot be accounted for by...

We consider preference relations over information that are monotone: more information is preferred to less. We prove that, if a preference relation on information about an uncountable set of states of nature is monotone, then it is not representable by a utility function

I define a restricted version of Nash's Independence that overcomes its major criticisms and then show that a one parameter class of asymmetric Kalai-Smorodinsky solutions is characterized by Restricted Independence, Scale Invariance, Pareto Optimality and Kalai and Smorodinsky's Individual...