We introduce the BLP-LASSO model, which augments the classic BLP (Berry, Levinsohn, and Pakes, 1995) random-coefficients logit model to allow for data-driven selection among a high- dimensional set of control variables. Economists often study consumers' aggregate behavior across markets choosing...

Using results from convex analysis, we investigate a novel approach to identification and estimation of discrete choice models which we call the “Mass Transport Approach” (MTA). We show that the conditional choice probabilities and the choice specific payoffs in these models are related in...

The problem of demand inversion -- a crucial step in the estimation of randomutility discrete-choice models -- is equivalent to the determination of stable outcomes intwo-sided matching models. This equivalence applies to random utility models that are notnecessarily additive, smooth, nor even...

Using results from Convex Analysis, we investigate a novel approach to identification and estimation of discrete-choice models that we call the mass transport approach . We show that the conditional choice probabilities and the choice-specific payoffs in these models are related in the sense of...

This paper studies optimal nonlinear pricing for a monopolist when consumers' preferences exhibit temptation and self-control as in Gul and Pesendorfer (2001). Consumers are subject to temptation inside the store but exercise self-control, and those foreseeing large self-control costs do not...