IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-032-07178-1_10.html

Detection Changes in a Linear Dynamic Panel Data Model

In: Asymptotic and Methodological Statistics

Author

Listed:
  • Zuzana Prášková

    (Charles University, Department of Probability and Mathematical Statistics, Faculty of Mathematics and Physics)

Abstract

In this paper we provide some asymptotic results concerning the detection of a change in a set of panel data, where we assume cross-sectional independence between panels but serially correlated observations. Especially, we assume that observations follow independent autoregressive models of order p and their coefficients can change. The test is based on an aggregate CUSUM statistic.

Suggested Citation

  • Zuzana Prášková, 2026. "Detection Changes in a Linear Dynamic Panel Data Model," Springer Books, in: Daniel Hlubinka & Šárka Hudecová & Matúš Maciak & Michal Pešta (ed.), Asymptotic and Methodological Statistics, chapter 0, pages 197-216, Springer.
  • Handle: RePEc:spr:sprchp:978-3-032-07178-1_10
    DOI: 10.1007/978-3-032-07178-1_10
    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:sprchp:978-3-032-07178-1_10. 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.