Set Identified Linear Models

Christian Bontemps, Thierry Magnac and Eric Maurin

PSE-Ecole d'économie de Paris (Postprint) from HAL

Abstract: We analyze the identification and estimation of parameters β satisfying the incomplete linear moment restrictions E(z⊤(xβ−y)) = E(z⊤u(z)), where z is a set of instruments and u(z) an unknown bounded scalar function. We first provide empirically relevant examples of such a setup. Second, we show that these conditions set identify β where the identified set B is bounded and convex. We provide a sharp characterization of the identified set not only when the number of moment conditions is equal to the number of parameters of interest, but also in the case in which the number of conditions is strictly larger than the number of parameters. We derive a necessary and sufficient condition of the validity of supernumerary restrictions which generalizes the familiar Sargan condition. Third, we provide new results on the asymptotics of analog estimates constructed from the identification results. When B is a strictly convex set, we also construct a test of the null hypothesis, β0∈B, whose size is asymptotically correct and which relies on the minimization of the support function of the set B− {β0}. Results of some Monte Carlo experiments are presented.

Keywords: Partial identification; Linear prediction; Support function; Test (search for similar items in EconPapers)
Date: 2012-05
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Citations: View citations in EconPapers (48)

Published in Econometrica, 2012, 80 (3), pp.1129-1155. ⟨10.3982/ECTA7637⟩

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Related works:
Journal Article: Set Identified Linear Models (2012)
Working Paper: Set Identified Linear Models (2012)
Working Paper: Set identified linear models (2011)
Working Paper: Set Identified Linear Models (2009)
Working Paper: Set Identified Linear Models (2007)
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Persistent link: https://EconPapers.repec.org/RePEc:hal:pseptp:halshs-00754590

DOI: 10.3982/ECTA7637

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