Asymmetries in information processing in a decision theory framework

Research in psychology suggests that some individuals are more sensitive to positive than to negative information while others are more sensitive to negative rather than positive information. I take these cognitive positive-negative asymmetries in information processing to a Bayesian decision-theory model and explore its consequences in terms of decisions and payoffs. I show that in monotone decision problems economic agents with more positive-responsive information structures are always better off, ex-ante, when they face problems where payoffs are relatively more sensitive to the action chosen when the state of nature is favorable.