Information about the future may be instrumentally useful, yet scary. For example, many patients shy away from precise genetic tests about their dispositions for severe diseases. They are afraid that a bad test result could render them desperate due to anticipatory feelings. We show that...

Information about the future may be instrumentally useful, yet scary. For example, many patients shy away from precise genetic tests about their dispositions for severe diseases. They are afraid that a bad test result could render them desperate due to anticipatory feelings. We show that...

A well-known theoretical result in the contest literature is that greater heterogeneity decreases performance of contestants because of the "discouragement effect." Leveling the playing field by favoring weaker contestants through bid-caps and favorable tie-breaking rules can reduce the...

Auctions are the allocation-mechanisms of choice whenever goods and information in markets are scarce. Therefore, understanding how information affects welfare and revenues in these markets is of fundamental interest. We introduce new statistical concepts, k- and k-m-dispersion, for...

This paper studies the influence of shared guilt and diffused responsibility in institutions that may require the support of several actors to realize specific outcomes. Decision makers weigh supporting an immoral yet egoistically advantageous action to the detriment of a third party against...

A well-known theoretical result in the contest literature is that greater heterogeneity decreases performance of contestants because of the "discouragement effect." Leveling the playing field by favoring weaker contestants through bid-caps and favorable tie-breaking rules can reduce the...

In auction and mechanism design, Myerson's classical regularity condition is often too weak for a quantitative analysis of performance. For instance, ratios between revenue and welfare, or sales probabilities may vanish at the boundary of Myerson regularity. This paper introduces L-regularity as...