This paper provides shape restrictions for the structural estimation of demand functions derived from a surplus-based model describing the behavior of a population of consumers. I first derive the restrictions that this model imposes on the implied demand function and its inverse. Then, I show...

Model misspecification is a serious issue since misspecification generally renders statistical inference invalid. However, specification testing of discrete choice models is rarely applied. This paper describes a nonparametric test procedure which uses a combination of smoothed residual plots...

This note provides several remarks relating to the conditional choice probability (CCP) based estimation approaches for dynamic discrete-choice models. Specifically, the Arcidiacono and Miller [2011] estimation procedure relies on the “inverse-CCP” mapping from CCP’s to choice-specific...

We establish nonparametric identification in a class of so-called index models using a novel approach that relies on general topological results. Our proof strategy imposes very weak smoothness conditions on the functions to be identified and does not require any large support conditions on the...