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Z-Estimators and Auxiliary Information under Weak Dependence

Author

Listed:
  • F. Crudu
Abstract
In this paper we introduce a weighted Z-estimator for moment condition models in the presence of auxiliary information on the unknown distribution of the data under the assumption of weak dependence. The resulting weighted estimator is shown to be consistent and asymptotically normal. Its small sample properties are checked via Monte Carlo experiments.

Suggested Citation

  • F. Crudu, 2010. "Z-Estimators and Auxiliary Information under Weak Dependence," Working Paper CRENoS 201022, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    • Handle: RePEc:cns:cnscwp:201022
    as

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    File URL: https://crenos.unica.it/crenos/node/2989
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    References listed on IDEAS

    as
    1. Hayfield, Tristen & Racine, Jeffrey S., 2008. "Nonparametric Econometrics: The np Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i05).
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    z-estimators; m-estimators; gmm; generalized empirical likelihood; blocking techniques;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

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