IDEAS home Printed from https://ideas.repec.org/a/bla/jtsera/v40y2019i2p248-255.html
   My bibliography  Save this article

Common Breaks in Means for Cross‐Correlated Fixed‐T Panel Data

Author

Listed:
  • Joakim Westerlund

Abstract

This note considers a panel data model in which the variable of interest has undergone a common structural break in the mean. The object of interest is the unknown breakpoint. The challenge is to device an estimator that is consistent when the data are cross‐correlated and the number of time periods T is fixed and cannot be increased without bound. The proposed solution involves taking an already existing estimator initially proposed for cross‐section uncorrelated panels and applying it to defactored data. Consistency is established as the number of cross‐section units N grows large, and is verified in small samples using Monte Carlo simulation.

Suggested Citation

  • Joakim Westerlund, 2019. "Common Breaks in Means for Cross‐Correlated Fixed‐T Panel Data," Journal of Time Series Analysis, Wiley Blackwell, vol. 40(2), pages 248-255, March.
    • Handle: RePEc:bla:jtsera:v:40:y:2019:i:2:p:248-255
    DOI: 10.1111/jtsa.12407
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/jtsa.12407
    Download Restriction: no
    File URL: https://libkey.io/10.1111/jtsa.12407?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
    ---><---

    Citations

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


    Cited by:

    1. Christos Argyropoulos & Bertrand Candelon & Jean‐Baptiste Hasse & Ekaterini Panopoulou, 2024. "Towards a macroprudential regulatory framework for mutual funds?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(3), pages 3063-3082, July.
    2. Jiang, Peiyun & Kurozumi, Eiji, 2021. "A new test for common breaks in heterogeneous panel data models," Discussion paper series HIAS-E-107, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.

    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:bla:jtsera:v:40:y:2019:i:2:p:248-255. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0143-9782 .

    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.