IDEAS home Printed from https://ideas.repec.org/p/ifs/ifsewp/98-01.html
   My bibliography  Save this paper

Efficiency comparisons for a system GMM estimator in dynamic panel data models

Author

Listed:
  • Frank Windmeijer

    () (Institute for Fiscal Studies and University of Bristol)

Abstract

The system GMM estimator in dynamic panel data models combines moment conditions for hte differenced equation with moment conditions for the model in levels. An initial optimal weight matrix under homoscedasticity and non-serial correlation is not known for this estimation procedure. It is common practice to use the inverse of the moment matrix of the instruments as the initial weight matrix. This paper assesses the potential efficiency loss from the use of this weight matrix using the efficiency bounds as derived by Liu and Neudecker (1997).

Suggested Citation

  • Frank Windmeijer, 1998. "Efficiency comparisons for a system GMM estimator in dynamic panel data models," IFS Working Papers W98/01, Institute for Fiscal Studies.
  • Handle: RePEc:ifs:ifsewp:98/01
    as

    Download full text from publisher

    File URL: http://www.ifs.org.uk/wps/wp9801.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    2. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    3. Richard Blundell & Stephen Bond, 1995. "Initial conditions and moment restrictions in dynamic panel data models," IFS Working Papers W95/17, Institute for Fiscal Studies.
    4. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, pages 115-143.
    5. Ahn, Seung C. & Schmidt, Peter, 1995. "Efficient estimation of models for dynamic panel data," Journal of Econometrics, Elsevier, vol. 68(1), pages 5-27, July.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Andersson, Martin & Lööf, Hans, 2009. "Agglomeration and Productivity - evidence from firm-level data," Working Paper Series in Economics and Institutions of Innovation 170, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    2. Kripfganz, Sebastian & Schwarz, Claudia, 2013. "Estimation of Linear Dynamic Panel Data Models with Time-Invariant Regressors," Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79756, Verein für Socialpolitik / German Economic Association.
    3. Derek Jones & Panu Kalmi & Mikko Mäkinen, 2010. "The productivity effects of stock option schemes: evidence from Finnish panel data," Journal of Productivity Analysis, Springer, pages 67-80.
    4. Lalanne, Marie & Seabright, Paul, 2011. "The Old Boy Network: Gender Differences in the Impact of Social Networks on Remuneration in Top Executive Jobs," TSE Working Papers 11-259, Toulouse School of Economics (TSE).
    5. Martin Andersson & Hans Lööf, 2011. "Agglomeration and productivity: evidence from firm-level data," The Annals of Regional Science, Springer;Western Regional Science Association, pages 601-620.
    6. Farid Gasmi & Paul Noumba Um & Laura Recuero Virto, 2009. "Political Accountability and Regulatory Performance in Infrastructure Industries: An Empirical Analysis," World Bank Economic Review, World Bank Group, pages 509-531.
    7. Derek Jones & Panu Kalmi & Mikko Mäkinen, 2010. "The productivity effects of stock option schemes: evidence from Finnish panel data," Journal of Productivity Analysis, Springer, pages 67-80.
    8. Angelica Gonzalez, 2007. "Angelica Gonzalez," ESE Discussion Papers 168, Edinburgh School of Economics, University of Edinburgh.

    More about this item

    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:ifs:ifsewp:98/01. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Emma Hyman). General contact details of provider: http://edirc.repec.org/data/ifsssuk.html .

    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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.