Duality in Dynamic Discrete Choice Models - Sciences Po Accéder directement au contenu
Article Dans Une Revue Quantitative Economics Année : 2015

Duality in Dynamic Discrete Choice Models

Khai Chiong
  • Fonction : Auteur
Alfred Galichon
Matt Shum
  • Fonction : Auteur

Résumé

Using results from convex analysis, we characterize the identification and estimation of dynamic discrete-choice models based on the random utility framework. We show that the conditional choice probabilities and the choice specific payoffs in these models are related in the sense of conjugate duality. Based on this, we propose a new two-step estimator for these models; interestingly, the first step of our estimator involves solving a linear program which is identical to the classic assignment (two-sided matching) game of Shapley and Shubik (1971). The application of convex-analytic tools to dynamic discrete choice models, and the connection with two-sided matching models, is new in the literature.
Fichier principal
Vignette du fichier
duality-in-dynamic-discrete-choice.pdf (530.13 Ko) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte

Dates et versions

hal-03568184 , version 1 (12-02-2022)

Identifiants

Citer

Khai Chiong, Alfred Galichon, Matt Shum. Duality in Dynamic Discrete Choice Models. Quantitative Economics, 2015, Forthcoming. ⟨hal-03568184⟩
21 Consultations
37 Téléchargements

Partager

Gmail Facebook X LinkedIn More