A common feature of the literature on the evolution of preferences is that evolution favors nonmaterialistic preferences only if preference types are observable at least to some degree. We argue that this result is due to the assumption that in each state of the evolutionary dynamics some...

Transparency in teams can induce cooperation. We study contribution decisions by agents when previous decisions can be observed. We find that an information chain, in which each agent directly observes only the decision of her immediate predecessor, is at least as effective as a...

Human capital is transferable across occupations, but only to a limited extent because of differences in occupational skill-profiles. Higher skill overlap between occupations renders less of individuals' human capital useless in occupational switches. Current occupational distance measures...

Spinoff firms are exceptional performers across industries. The causes for the emergence of spinoff firms are widely investigated in the literature. However, the role of teams for spinoffs has received little scholarly attention. On one hand, talented individuals may find it necessary to team up...

When person A makes an offer to person B and B rejects it, then A may lose face. This loss of face is assumed to occur only if B knows for sure of A's offer. While under some circumstances loss of face can be rationalized by the consequences for future reputation, it may also enter directly into...

This paper estimates a dynamic stochastic general equilibrium (DSGE) model for the European Monetary Union by using Bayesian techniques. A salient feature of the model is an extension of the typically postulated quadratic cost structure for the monopolistic choice of price variables. As shown in...

A decision maker (DM) wishes to select a competent candidate to fill a position. However, since the wage and task of the position is predetermined, the DM cannot use contract as a screening device. This paper formulates the problem as a class of selection problem and derives the optimal...