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Alternative Semi-parametric Likelihood Approaches to Generalised Method of Moments Estimation

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Author Info
Smith, Richard J

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Abstract

Since L. P. Hansen's (1982) seminal paper, the generalized method of moments (GMM) has become an increasingly important method for estimation and inference in econometrics. This paper examines semiparametric quasi-likelihood approaches. Essentially, these methods embed sample versions of the moment conditions used in GMM in a nonparametric quasi-likelihood function by use of additional parameters associated with these moment conditions. Specification and misspecification tests may be defined which are similar in nature to the classical tests and are first-order equivalent to the corresponding GMM statistics. The structure of the semiparametric quasi-maximum likelihood estimator is explored for models estimated by instrumental variables. Copyright 1997 by Royal Economic Society.

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Publisher Info
Article provided by Royal Economic Society in its journal The Economic Journal.

Volume (Year): 107 (1997)
Issue (Month): 441 (March)
Pages: 503-19
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Handle: RePEc:ecj:econjl:v:107:y:1997:i:441:p:503-19

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  1. Richard Smith, 2004. "Automatic positive semi-definite HAC covariance matrix and GMM estimation," CeMMAP working papers CWP17/04, Centre for Microdata Methods and Practice, Institute for Fiscal Studies. [Downloadable!]
    Other versions:
  2. Donald W.K. Andrews & Patrik Guggenberger, 2007. "Validity of Subsampling and "Plug-in Asymptotic" Inference for Parameters Defined by Moment Inequalities," Cowles Foundation Discussion Papers 1620, Cowles Foundation, Yale University. [Downloadable!]
    Other versions:
  3. Whitney Newey & Richard Smith, 2003. "Higher order properties of GMM and generalised empirical likelihood estimators," CeMMAP working papers CWP04/03, Centre for Microdata Methods and Practice, Institute for Fiscal Studies. [Downloadable!]
    Other versions:
  4. Stefan Boes, 2004. "Empirical Likelihood in Count Data Models: The Case of Endogenous Regressors," Working Papers 0404, University of Zurich, Socioeconomic Institute. [Downloadable!]
  5. F Bravo, 2008. "Effcient M-estimators with auxiliary information," Discussion Papers 08/26, Department of Economics, University of York. [Downloadable!]
  6. Mehmet Caner, 2005. "Nearly Singular design in gmm and generalized empirical likelihood estimators," Working Papers 211, University of Pittsburgh, Department of Economics, revised Jan 2005. [Downloadable!]
    Other versions:
  7. Inkmann, Joachim, 2005. "Inverse probability weighted generalised empirical likelihood estimators : firm size and R&D revisited," Discussion Paper 131, Tilburg University, Center for Economic Research. [Downloadable!]
  8. Whitney Newey & Frank Windmeijer, 2005. "GMM with many weak moment conditions," CeMMAP working papers CWP18/05, Centre for Microdata Methods and Practice, Institute for Fiscal Studies. [Downloadable!]
  9. John Chao & Norman Swanson, 2004. "Estimation and Testing Using Jackknife IV in Heteroskedastic Regressions With Many Weak Instruments," Departmental Working Papers 200420, Rutgers University, Department of Economics. [Downloadable!]
    Other versions:
  10. Richard Smith, 2004. "GEL Criteria for Moment Condition Models," CeMMAP working papers CWP19/04, Centre for Microdata Methods and Practice, Institute for Fiscal Studies. [Downloadable!]
  11. Jeffrey M. Wooldridge, 2004. "Estimating average partial effects under conditional moment independence assumptions," CeMMAP working papers CWP03/04, Centre for Microdata Methods and Practice, Institute for Fiscal Studies. [Downloadable!]
  12. Richard Smith, 2005. "Weak instruments and empirical likelihood: a discussion of the papers by DWK Andrews and JH Stock and Y Kitamura," CeMMAP working papers CWP13/05, Centre for Microdata Methods and Practice, Institute for Fiscal Studies. [Downloadable!]
  13. Richard Smith, 2005. "Efficient information theoretic inference for conditional moment restrictions," CeMMAP working papers CWP14/05, Centre for Microdata Methods and Practice, Institute for Fiscal Studies. [Downloadable!]
    Other versions:
  14. Richard Smith, 2005. "Local GEL methods for conditional moment restrictions," CeMMAP working papers CWP15/05, Centre for Microdata Methods and Practice, Institute for Fiscal Studies. [Downloadable!]
  15. Stefan Boes, 2007. "Count Data Models with Unobserved Heterogeneity: An Empirical Likelihood Approach," Working Papers 0704, University of Zurich, Socioeconomic Institute. [Downloadable!]
  16. Whitney K. Newey & Joaquim J. S. Ramalho & Richard Smith, 2003. "Asymptotic bias for GMM and GEL estimators with estimated nuisance parameters," CeMMAP working papers CWP05/03, Centre for Microdata Methods and Practice, Institute for Fiscal Studies. [Downloadable!]
    Other versions:
  17. Jason Allen & Allan W. Gregory & Katsumi Shimotsu, 2008. "Empirical Likelihood Block Bootstrapping," Working Papers 08-18, Bank of Canada. [Downloadable!]
    Other versions:
  18. Taisuke Otsu & Myung Hwan Seo & Yoon-Jae Whang, 2008. "Testing for Non-Nested Conditional Moment Restrictions Using Unconditional Empirical Likelihood," Cowles Foundation Discussion Papers 1660, Cowles Foundation, Yale University. [Downloadable!]
  19. James Heckman & Rosa Matzkin & Lars Nesheim, 2005. "Nonparametric estimation of nonadditive hedonic models," CeMMAP working papers CWP03/05, Centre for Microdata Methods and Practice, Institute for Fiscal Studies. [Downloadable!]
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