This document presents supporting materials for the following publication: Farias, Jagabathula and Shah (2012), 'A Nonparametric Approach to Modeling Choice with Limited Data,' Management Science, Articles in Advance, pp. 1-18. Choice models are today ubiquitous across a range of applications in...

This paper explores the estimation of a class of life-cycle discrete choice intergenerational models. It proposes a new semiparametric estimator. It shows that it is root-N-consistent and asymptotically normally distributed. We compare our estimator with a modified version of the full solution...

This chapter discusses identification of common selection models of the labor market. We start with the classic Roy model and show how it can be identified with exclusion restrictions. We then extend the argument to the generalized Roy model, treatment effect models, duration models, search...

We study the problem of actively learning a non-parametric choice model based on consumers' decisions. We present a negative result showing that such choice models may not be identifiable. To overcome the identifiability problem, we introduce a directed acyclic graph (DAG) representation of the...

This paper studies the non-parametric identification of the discount factor and utility function in the class of dynamic discrete-continuous choice (DDCC) models. In contrast to the discrete-only model we show the discount factor is identified. Our results further highlight why Euler equation...