Improved instrumental variables and generalized method of moments estimators

This paper considers GMM estimation with moment conditions of the usual type, plus extra moment conditions that do not depend on the parameters. The extra moment conditions improve efficiency if they are correlated with the original set of moment conditions. This is true in linear and nonlinear mode...

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Veröffentlicht in:Journal of econometrics 1999-07, Vol.91 (1), p.145-169
Hauptverfasser: Qian, Hailong, Schmidt, Peter
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description This paper considers GMM estimation with moment conditions of the usual type, plus extra moment conditions that do not depend on the parameters. The extra moment conditions improve efficiency if they are correlated with the original set of moment conditions. This is true in linear and nonlinear models, but in linear models we provide simple, explicit formulas for the improved estimators. Our results may be useful in rational expectations models, in which an equation's error is a forecast error and the extra moment conditions would be forecast errors in related variables.
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source RePEc; ScienceDirect Journals (5 years ago - present)
subjects Distribution theory
Economic models
Estimating techniques
Estimation
Exact sciences and technology
Generalized method of moments
GMM
Improved GMM estimators
Improved IV estimators
Linear models
Mathematics
Moment conditions
Monte Carlo simulation
Non-linear models
Nonparametric inference
Probability and statistics
Rational expectations
Regression analysis
Sciences and techniques of general use
Statistics
Studies
title Improved instrumental variables and generalized method of moments estimators
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