Sargan's Instrumental Variable Estimation and GMM
نویسندگان
چکیده
منابع مشابه
Instrumental Variable and Gmm Estimation for Panel Data with Measurement Error
Panel data allow correction for measurement error without assuming a known measurement error covariance matrix or using additional validation/replication data to estimate the measurement error covariance matrix. Griliches and Hausman (1986) proposed using the generalized method of moments (GMM) or optimal weighting to efficiently combine instrumental variable (IV) estimators. Wansbeek (2001) ap...
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So on average, a woman with more than two kids works 6 weeks fewer than her counterpart with fewer than 2 kids. The result changes a little after we include age as the regressor. The question is, does this correlation imply causality? So the key regressor is morekids. The main concern is that morekids may be endogenous, i.e., correlated with the error term, due to simultaneity or omitted variab...
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We extend our 2003 paper on instrumental variables (IV) and GMM estimation and testing and describe enhanced routines that address HAC standard errors, weak instruments, LIML and k-class estimation, tests for endogeneity and RESET and autocorrelation tests for IV estimates.
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This paper proposes shrinkage methods for instrumental variable estimation to solve the “many instruments” problem. Even though using a large number of instruments reduces the asymptotic variances of the estimators, it has been observed both in theoretical works and in practice that in finite samples the estimators may behave very poorly if the number of instruments is large. This problem can b...
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Many applications involve a censored dependent variable and an endogenous independent variable. Chernozhukov et al. (2015) introduced a censored quantile instrumental variable estimator (CQIV) for use in those applications, which has been applied by Kowalski (2016), among others. In this article, we introduce a Stata command, cqiv, that simplifes application of the CQIV estimator in Stata. We s...
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ژورنال
عنوان ژورنال: SSRN Electronic Journal
سال: 2002
ISSN: 1556-5068
DOI: 10.2139/ssrn.296640