We develop a nonparametric approach to test for monotone behavior in optimizing agents and to make out-of-sample predictions. Our approach could be applied to simultaneous games with ordered actions, with agents playing pure strategy Nash equilibria or Bayesian Nash equilibria. We require no...

This paper studies the diffusion process of two complementary technologies among people who are connected through a social network. It characterizes adoption rates over time for different initial allocations and network structures. We are particularly interested in the following question:...

We propose a dynamic version of the dividend discount model, solve it in closed-form, and assess its empirical validity. The valuation method is tractable and can be easily implemented. We find that our model produces equity value forecasts that are very close to market prices, and explains a...

We derive a dynamic model of the firm in the spirit of the trade-off theory of capital structure that explains firm behavior in terms of firm characteristics. We show our model is consistent with many important findings about the cross-section of firms, including the negative relations between...

Hot spot policing is a popular policing strategy that addresses crime by assigning limited police resources to areas where crimes are more highly concentrated. We analyze this strategy using a game theoretic approach. The main argument against focusing police resources on hot spots is that it...

This paper studies nonparametric identification in binary choice games of complete information. We allow for correlated unobservables across players. We propose conditions under which the binary choice game is a so-called potential game and impose that the selected equilibrium maximizes its...