This paper presents a dynamic equilibrium model of a taxi market. The model is estimated
using data from New York City yellow cabs. Two salient features by which most taxi markets …

This article analyses the dynamic spatial equilibrium of taxicabs and shows how common
taxi regulations lead to substantial inefficiencies as a result of search frictions and mis …

This chapter is organized around three main topics on dynamic games in empirical IO:
models, econometrics, and empirical applications. Section 2 presents the theoretical …

This paper develops a nonparametric model that represents how sequences of outcomes
and treatment choices influence one another in a dynamic manner. In this setting, we are …

Dynamic discrete choice (DDC) models are not identified nonparametrically, but the non‐
identification of models does not necessarily imply the nonidentification of counterfactuals …

The ubiquitous deployment of mobile and sensor technologies enables observation and
recording of human behavior in physical (off-line) settings in a manner similar to what has …

A recently popular approach to solving reinforcement learning is with data from human
preferences. In fact, human preference data are now used with classic reinforcement …

Research on peer effects in sociology has long been focused on social interactions and the
associated social influence process. In this paper, we extend a large‐network‐based game …

Most empirical and theoretical econometric studies of dynamic discrete choice models
assume the discount factor to be known. We show the knowledge of the discount factor is not …

We provide a general framework for investigating partial identification of structural dynamic
discrete choice models and their counterfactuals, along with uniformly valid inference …