IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

Estimating New Zealand’s Output Gap Using a Small Macro Model

  • Kam Leong Szeto

    ()

    (The Treasury)

Registered author(s):

    The Treasury has been testing the assumptions on the potential growth rate of the New Zealand economy. In this paper, we estimate a small macro model using Bayesian techniques, which allows us to assess the level of uncertainty of the estimates of the output gap. The model is based on the work of Benes et al. (2010) with some modifications reflecting New Zealand economic conditions. Although this new technique does not reduce the uncertainty in measures of potential output as indicated by large confidence bands for the estimates, it provides us a useful tool with an economic framework for measuring potential output.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL: http://www.treasury.govt.nz/publications/research-policy/wp/2013/13-18/twp13-18.pdf
    Download Restriction: no

    Paper provided by New Zealand Treasury in its series Treasury Working Paper Series with number 13/18.

    as
    in new window

    Length: 34
    Date of creation: Jul 2013
    Date of revision:
    Handle: RePEc:nzt:nztwps:13/18
    Contact details of provider: Postal: New Zealand Treasury, PO Box 3724, Wellington, New Zealand
    Phone: +64-4-472 2733
    Fax: +64-4-473 0982
    Web page: http://www.treasury.govt.nz

    More information through EDIRC

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

    as in new window
    1. Danny Quah, 1991. "The Relative Importance of Permanent and Transitory Components: Identification and Some Theoretical Bounds," FMG Discussion Papers dp126, Financial Markets Group.
    2. L Christopher Plantier & Ozer Karagedikli, 2005. "Do so-called multivariate filters have better revision properties? An empirical analysis," Computing in Economics and Finance 2005 250, Society for Computational Economics.
    3. Carmen M. Reinhart & Kenneth S. Rogoff, 2009. "The Aftermath of Financial Crises," American Economic Review, American Economic Association, vol. 99(2), pages 466-72, May.
    Full references (including those not matched with items on IDEAS)

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:nzt:nztwps:13/18. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Web and Publishing Team, The Treasury)

    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.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.