Accéder directement au contenu Accéder directement à la navigation
Communication dans un congrès

Set identified linear models

Abstract : In this paper, we study set-identified linear models. We first exhibit examples of set identification where the usual moment conditions are incomplete because they depend on a unknown bounded scalar function. We then show that incomplete linear moment conditions generate set identification where the identified set is bounded and convex. We characterize the identified set in both cases where the number of moment conditions is equal to, or greater than the number of parameters of interest. We derive consistent and asymptotically normal estimators of the support functions of these bounded and convex sets. We also construct procedures testing the validity of overidentifying restrictions which generalize the Sargan test. Some empirical illustrations on income data and on artificial data are provided.
Mots-clés : LINEAR MODELS
Type de document :
Communication dans un congrès
Liste complète des métadonnées

https://hal.inrae.fr/hal-02816034
Déposant : Migration Prodinra <>
Soumis le : samedi 6 juin 2020 - 13:31:09
Dernière modification le : mardi 1 décembre 2020 - 03:43:07

Identifiants

  • HAL Id : hal-02816034, version 1
  • PRODINRA : 21427

Collections

Citation

Christian Bontemps, Thierry Magnac, Eric Maurin. Set identified linear models. Séminaire Malinvaud, Centre de Recherche en Economie et Statistique (CREST). FRA., Oct 2007, Paris, France. 57 p. ⟨hal-02816034⟩

Partager

Métriques

Consultations de la notice

28