IDEAS home Printed from https://ideas.repec.org/p/kud/kuieca/2003_13.html
   My bibliography  Save this paper

Unit root inference in panel data models where the time-series dimension is fixed: A comparison of different tests

Author

Listed:
  • Edith Madsen

    (Institute of Economics, University of Copenhagen)

Abstract

The objective of the paper is to investigate and compare the performance of some of the unit root tests in micro-panels which have been suggested in the literature. The framework is an autoregressive panel data model allowing for heterogeneity in the intercept but not in the autoregressive parameter. The tests being considered can be used to distinguish between the null hypothesis of each time-series process being a random walk and the alternative hypothesis of each time-series process being stationary with individual-specific levels but the same autoregressive parameter. In addition, the tests are all based on usual t-statistics corresponding to least squares estimators of the autoregressive parameter resulting from different transformations of the model. The performance of the tests is investigated by deriving the local power of the tests when the autoregressive parameter is local-to-unity. The results show that the assumption concerning the initial values is important in this matter. The outcome of a simulation experiment demonstrates that the local power of the tests provides a good approximation to their actual power in finite samples.

Suggested Citation

  • Edith Madsen, 2003. "Unit root inference in panel data models where the time-series dimension is fixed: A comparison of different tests," CAM Working Papers 2003-13, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics.
  • Handle: RePEc:kud:kuieca:2003_13
    as

    Download full text from publisher

    File URL: http://www.econ.ku.dk/cam/wp0910/wp0203/2003-13.pdf/
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Westerlund, Joakim & Breitung, Jörg, 2009. "Myths and Facts about Panel Unit Root Tests," Working Papers in Economics 380, University of Gothenburg, Department of Economics.
    2. Caterina Giannetti, 2015. "Unit roots and the dynamics of market shares: an analysis using an Italian banking micro-panel," Empirical Economics, Springer, vol. 48(2), pages 537-555, March.
    3. Breitung, Jörg & Pesaran, Mohammad Hashem, 2005. "Unit roots and cointegration in panels," Discussion Paper Series 1: Economic Studies 2005,42, Deutsche Bundesbank.

    More about this item

    Keywords

    dynamic panel data model; unit roots; local alternatives; initial values;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: 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:kud:kuieca:2003_13. 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: Thomas Hoffmann (email available below). General contact details of provider: https://edirc.repec.org/data/camkudk.html .

    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.