We study a repeated game with payoff externalities and observable actions where two players receive information over time about an underlying payoff-relevant state, and strategically coordinate their actions. Players learn about the true state from private signals, as well as the actions of...

In this paper, we study a non-parametric approach to prediction in stochastic choice models in economics. We apply techniques from statistical learning theory to study the problem of learning choice probabilities. A model of stochastic choice is said to be learnable if there exist learning rules...

We study the degree of falsifiability of theories of choice. A theory is easy to falsify if relatively small datasets are enough to guarantee that the theory can be falsified: the VC dimension of a theory is the largest sample size for which the theory is ''never falsifiable.'' VC dimension is...