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Social and Behavioral Sciences Commons

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Yale University

Series

2010

Identification

Articles 1 - 2 of 2

Full-Text Articles in Social and Behavioral Sciences

Estimation And Inference With Weak, Semi-Strong, And Strong Identification, Donald W.K. Andrews, Xu Cheng Oct 2010

Estimation And Inference With Weak, Semi-Strong, And Strong Identification, Donald W.K. Andrews, Xu Cheng

Cowles Foundation Discussion Papers

This paper analyzes the properties of standard estimators, tests, and confidence sets (CS’s) in a class of models in which the parameters are unidentified or weakly identified in some parts of the parameter space. The paper also introduces methods to make the tests and CS’s robust to such identification problems. The results apply to a class of extremum estimators and corresponding tests and CS’s, including maximum likelihood (ML), least squares (LS), quantile, generalized method of moments (GMM), generalized empirical likelihood (GEL), minimum distance (MD), and semi-parametric estimators. The consistency/lack-of-consistency and asymptotic distributions of the estimators are established under a full …


Estimation And Inference With Weak, Semi-Strong, And Strong Identification, Donald W.K. Andrews, Xu Cheng Jun 2010

Estimation And Inference With Weak, Semi-Strong, And Strong Identification, Donald W.K. Andrews, Xu Cheng

Cowles Foundation Discussion Papers

This paper analyzes the properties of standard estimators, tests, and confidence sets (CS’s) for parameters that are unidentified or weakly identified in some parts of the parameter space. The paper also introduces methods to make the tests and CS’s robust to such identification problems. The results apply to a class of extremum estimators and corresponding tests and CS’s that are based on criterion functions that satisfy certain asymptotic stochastic quadratic expansions and that depend on the parameter that determines the strength of identification. This covers a class of models estimated using maximum likelihood (ML), least squares (LS), quantile, generalized method …