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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- Steven T. Berry & Philip Haile, 2010.
"Identification in Differentiated Products Markets Using Market Level Data,"
Cowles Foundation Discussion Papers
1744, Cowles Foundation for Research in Economics, Yale University, revised Mar 2010.
- Steven T. Berry & Philip Haile, 2010. "Identification in Differentiated Products Markets Using Market Level Data," Cowles Foundation Discussion Papers 1744R, Cowles Foundation for Research in Economics, Yale University, revised May 2012.
- Steven T. Berry & Philip A. Haile, 2010. "Identification in Differentiated Products Markets Using Market Level Data," NBER Working Papers 15641, National Bureau of Economic Research, Inc.
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