Conditions for Identification in Nonparametric and Parametic Models

Charles S Roehrig

Econometrica, 1988, vol. 56, issue 2, 433-47

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.

Date: 1988
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