IDEAS home Printed from https://ideas.repec.org/a/anr/reveco/v6y2014p77-102.html
   My bibliography  Save this article

Recent Developments in Empirical Likelihood and Related Methods

Author

Listed:
  • Paulo M.D.C. Parente

    (Department of Economics, University of Exeter, Exeter EX4 4ST, United Kingdom
    Centre for Research in Microeconomics, Faculty of Economics, University of Cambridge, Cambridge CB3 9DD, United Kingdom)

  • Richard J. Smith

    (Centre for Microdata Methods and Practice, University College London, and Institute of Fiscal Studies, London WC1E 7AE, United Kingdom
    Faculty of Economics, University of Cambridge, Cambridge CB3 9DD, United Kingdom)

Abstract

This article reviews a number of recent contributions to estimation and inference for models defined by moment condition restrictions. The particular emphasis is on the generalized empirical likelihood class of estimators as an alternative to the generalized method of moments. Estimation methods for parameters defined through moment restrictions and their properties are described with tests of overidentifying moment restrictions and parametric hypotheses. Computational issues are discussed together with some proposals for their amelioration. Higher-order and other properties are also addressed in some detail. Models specified by conditional moment restriction models are considered, and the adaptation of these methods to weakly dependent data is discussed.

Suggested Citation

  • Paulo M.D.C. Parente & Richard J. Smith, 2014. "Recent Developments in Empirical Likelihood and Related Methods," Annual Review of Economics, Annual Reviews, vol. 6(1), pages 77-102, August.
    • Handle: RePEc:anr:reveco:v:6:y:2014:p:77-102
    as

    Download full text from publisher

    File URL: http://www.annualreviews.org/doi/abs/10.1146/annurev-economics-080511-110925
    Download Restriction: Full text downloads are only available to subscribers. Visit the abstract page for more information.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xiaohong Chen & Yin Jia Jeff Qiu, 2016. "Methods for Nonparametric and Semiparametric Regressions with Endogeneity: A Gentle Guide," Annual Review of Economics, Annual Reviews, vol. 8(1), pages 259-290, October.
    2. Alastair R. Hall, 2015. "Econometricians Have Their Moments: GMM at 32," The Economic Record, The Economic Society of Australia, vol. 91(S1), pages 1-24, June.
    3. Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell, 2018. "Coverage Error Optimal Confidence Intervals for Local Polynomial Regression," Papers 1808.01398, arXiv.org, revised Jul 2021.
    4. Mardi Dungey & Vitali Alexeev & Jing Tian & Alastair R. Hall, 2015. "Econometricians Have Their Moments: GMM at 32," The Economic Record, The Economic Society of Australia, vol. 91, pages 1-24, June.

    More about this item

    Keywords

    moment conditions; GMM; minimum discrepancy; generalized minimum contrast; generalized empirical likelihood;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:anr:reveco:v:6:y:2014:p:77-102. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: http://www.annualreviews.org (email available below). General contact details of provider: http://www.annualreviews.org .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.