IDEAS home Printed from https://ideas.repec.org/a/cup/etheor/v18y2002i02p525-530_18.html
   My bibliography  Save this article

On A Partitioned Inversion Formula Having Useful Applications In Econometrics

Author

Listed:
  • Faliva, Mario
  • Zoia, Maria Grazia

Abstract

In this paper a novel partitioned inversion formula is obtained in terms of the orthogonal complements of off-diagonal blocks, with the emblematic matrix of unit-root econometrics emerging as the leading diagonal block of the inverse. The result paves the way to a straightforward derivation of a key result of vector autoregressive econometrics.

Suggested Citation

  • Faliva, Mario & Zoia, Maria Grazia, 2002. "On A Partitioned Inversion Formula Having Useful Applications In Econometrics," Econometric Theory, Cambridge University Press, vol. 18(2), pages 525-530, April.
  • Handle: RePEc:cup:etheor:v:18:y:2002:i:02:p:525-530_18
    as

    Download full text from publisher

    File URL: https://www.cambridge.org/core/product/identifier/S0266466602182120/type/journal_article
    File Function: link to article abstract page
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Faliva, Mario & Zoia, Maria Grazia, 2006. "New insights into best linear unbiased estimation and the optimality of least-squares," Journal of Multivariate Analysis, Elsevier, vol. 97(3), pages 575-585, March.
    2. Omtzigt, Pieter & Paruolo, Paolo, 2005. "Impact factors," Journal of Econometrics, Elsevier, vol. 128(1), pages 31-68, September.

    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:cup:etheor:v:18:y:2002:i:02:p:525-530_18. 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: Kirk Stebbing (email available below). General contact details of provider: https://www.cambridge.org/ect .

    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.