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Inconsistency Of Naive GMM Estimation For QR Models With Endogenous Regressors

Riccardo (Jack) Lucchetti ()

No 140, Working Papers from Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali

Abstract: A naive GMM approach to estimating QR (logit and probit) models with endogenous explanatory variables can lead to inconsistent estimators. This result was previously shown by Dagenais via simulation. In this paper, a special case is presented for which an analytical proof is possible; it turns out that the estimator is indeed inconsistent, but the framework analysed here can be useful for hypothesis testing. Un approccio GMM `naive' per la stima di modelli QR con regressori endogeni porta a stimatori inconsistenti. Questo risultato, ottenuto via simulazione da Dagenais, viene qui provato analiticamente in un caso particolare. Si ha che lo stimatore in effetti inconsitente, ma pu essere di una qualche utilit per la prova di ipotesi.

JEL-codes: C25 (search for similar items in EconPapers)
Date: 2000-07
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http://docs.dises.univpm.it/web/quaderni/pdf/140.pdf First version, 2000 (application/pdf)

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Journal Article: Inconsistency of naive GMM estimation for QR models with endogenous regressors (2002) Downloads
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