We provide a general framework for investigating partial identification of structural dynamic discrete choice models and their counterfactuals, along with uniformly valid inference procedures. In doing so, we derive sharp bounds for the model parameters, counterfactual behavior, and...

We provide a general framework for investigating partial identification of structural dynamic discrete choice models and their counterfactuals, along with uniformly valid inference procedures. In doing so, we derive sharp bounds for the model parameters, counterfactual behavior, and...

We develop a model of competition in prices and infrastructure among mobile network operators. Consolidation can increase market power, but economies of scale, which we derive from physical principles, lead to more efficient data transmission. Estimating our model with French consumer and...