Agents compete to acquire a limited economic opportunity of uncertain profitability. Each agent decides how much he acquires public signals before making investment under fear of preemption. I show that equilibria have various levels of efficiency under mild competition. The effect of...

In this paper we offer a new approach to modeling strategies of bounded complexity, the so-called factor-based strategies. In our model, the strategy of a player in the multi-stage game does not directly map the set of histories H to the set of her actions. Instead, the player's perception of H...

Optimal control of dynamic econometric models has a wide variety of applications including economic policy relevant issues. There are several algorithms extending the basic case of a linear-quadratic optimization and taking nonlinearity and stochastics into account, but being still limited in a...

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...