IDEAS home Printed from https://ideas.repec.org/h/spr/sptchp/978-981-95-7226-7_17.html

Panel Unit Root Test

In: Econometrics in Theory and Practice

Author

Listed:
  • Panchanan Das

    (University of Calcutta, Department of Economics)

Abstract

Panel data with long time period have been used predominately in applied macroeconomic research like purchasing power parity, growth convergence, business cycle hypotheses, and so on. For a long panel or macro panel, time series properties will be dominating and we need to examine the stochastic behaviour of the variables. This chapter provides some theoretical issues and their application in testing for unit roots in panel data where the time dimension (T) and the cross section dimension (N) are relatively large. If N is large and T is small, the analysis can proceed only under restrictive assumptions. In cases where N is small and T is relatively large standard time series techniques are applied to systems of equations.

Suggested Citation

  • Panchanan Das, 2026. "Panel Unit Root Test," Springer Texts in Business and Economics, in: Econometrics in Theory and Practice, edition 0, chapter 17, pages 623-668, Springer.
    • Handle: RePEc:spr:sptchp:978-981-95-7226-7_17
    DOI: 10.1007/978-981-95-7226-7_17
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    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:spr:sptchp:978-981-95-7226-7_17. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.