IDEAS home Printed from https://ideas.repec.org/a/taf/apeclt/v15y2008i5p349-353.html

Power properties of the Sargan test in the presence of measurement errors in dynamic panels

Author

Listed:
  • Matz Dahlberg
  • Eva Mork
  • Per Tovmo

Abstract

This article investigates the power properties of the Sargan test in the presence of measurement errors in dynamic panel data models. The conclusion from Monte Carlo (MC) simulations and an application on the data used by Arellano and Bond (1991), is that in the very likely case of measurement errors in either the dependent or any of the independent variables, we will, if we rely on the Sargan test, quite likely accept a misspecified model and end up with biased results.

Suggested Citation

  • Matz Dahlberg & Eva Mork & Per Tovmo, 2008. "Power properties of the Sargan test in the presence of measurement errors in dynamic panels," Applied Economics Letters, Taylor & Francis Journals, vol. 15(5), pages 349-353.
    • Handle: RePEc:taf:apeclt:v:15:y:2008:i:5:p:349-353
    DOI: 10.1080/13504850500447414
    as

    Download full text from publisher

    File URL: http://www.informaworld.com/openurl?genre=article&doi=10.1080/13504850500447414&magic=repec&7C&7C8674ECAB8BB840C6AD35DC6213A474B5
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/13504850500447414?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or

    for a different version of it.

    Other versions of this item:

    Citations

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


    Cited by:

    1. Ali-Yrkkö, Jyrki, 2004. "Impact of Public R&D Financing on Private R&D - Does Financial Constraint Matter?," Discussion Papers 943, The Research Institute of the Finnish Economy.
    2. Joeri Smits & Jeffrey S. Racine, 2013. "Testing Exclusion Restrictions in Nonseparable Triangular Models," Department of Economics Working Papers 2013-02, McMaster University.
    3. Chang, Hsuan-Yu & Wang, Wei & Yu, Jihai, 2021. "Revisiting the environmental Kuznets curve in China: A spatial dynamic panel data approach," Energy Economics, Elsevier, vol. 104(C).
    4. Angelica Gonzalez, 2007. "Angelica Gonzalez," Edinburgh School of Economics Discussion Paper Series 168, Edinburgh School of Economics, University of Edinburgh.
    5. Auld, M. Christopher, 2011. "Effect of large-scale social interactions on body weight," Journal of Health Economics, Elsevier, vol. 30(2), pages 303-316, March.
    6. Takuya Hasebe, 2012. "The tests for the level moment conditions: GMM estimation in a linear dynamic panel data model," Economics Bulletin, AccessEcon, vol. 32(1), pages 412-420.

    More about this item

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

    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:taf:apeclt:v:15:y:2008:i:5:p:349-353. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEL20 .

    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.