Conditions for Identification in Nonparametric and Parametic Models
AbstractIt is argued that most econometric models are nonparametric and that parameterizations should typicall y be viewed as approximations made for purposes of estimation. These parameterizations should not be used to judge identification when the y are not a precise representation of prior information. Identificati on in a nonparametric context is defined and theorems are developed t hat aid in judging the identifiability of both nonparametric and para metric models. Examples are given that illustrate the usefulness of t hese results for determining sources of identification. Copyright 1988 by The Econometric Society.
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Bibliographic InfoArticle provided by Econometric Society in its journal Econometrica.
Volume (Year): 56 (1988)
Issue (Month): 2 (March)
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