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Empirical Likelihood-Based Selection Criteria for Moment Condition Models


  • Han Hong
  • Bruce Preston
  • Matthew Shum


In this note we propose model selection criteria (MSC) for unconditional moment models using empirical likelihood (EL) statistics in the construction of the MSC The use of EL-statistics in lieu of the more common J-statistics leads to a much more transparent interpretation of the MSC by providing a closer analogy with MSC in standard parametric likelihood models and underlying the common likelihood- (or information-) based underlying model selection procedures for bothe parametric as well as semi-parametric models

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  • Han Hong & Bruce Preston & Matthew Shum, 2001. "Empirical Likelihood-Based Selection Criteria for Moment Condition Models," Economics Working Paper Archive 459, The Johns Hopkins University,Department of Economics.
  • Handle: RePEc:jhu:papers:459

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    Cited by:

    1. Kim, Jae-Young, 2014. "An alternative quasi likelihood approach, Bayesian analysis and data-based inference for model specification," Journal of Econometrics, Elsevier, vol. 178(P1), pages 132-145.
    2. Otsu, Taisuke, 2010. "On Bahadur efficiency of empirical likelihood," Journal of Econometrics, Elsevier, vol. 157(2), pages 248-256, August.
    3. Kim, Jae-Young, 2012. "Model selection in the presence of nonstationarity," Journal of Econometrics, Elsevier, vol. 169(2), pages 247-257.

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