Skip to Main content Skip to Navigation
Conference papers

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.
Document type :
Conference papers
Complete list of metadata
Contributor : Migration ProdInra Connect in order to contact the contributor
Submitted on : Saturday, June 6, 2020 - 1:31:09 PM
Last modification on : Friday, April 29, 2022 - 10:13:04 AM


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


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⟩



Record views