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Conditions for Identification in Nonparametric and Parametic Models

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  • Roehrig, Charles S

Abstract

It 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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  • Roehrig, Charles S, 1988. "Conditions for Identification in Nonparametric and Parametic Models," Econometrica, Econometric Society, vol. 56(2), pages 433-447, March.
    • Handle: RePEc:ecm:emetrp:v:56:y:1988:i:2:p:433-47
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