IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v56y2024i49p5845-5862.html
   My bibliography  Save this article

Output measurement and technological shocks in business cycles

Author

Listed:
  • Irina Panovska
  • Edouard Wemy

Abstract

Is the importance of technology shocks in accounting for the fluctuations in output and hours sensitive to the measure of output? Using a vector autoregression, we empirically investigate the contribution of technological shocks to economic fluctuations when output is defined in consumption units, as commonly used in many macroeconomic models, and when output is tabulated according to the Divisia index in the U.S. National Income and Product Accounts (NIPAs). Based on a standard neoclassical growth framework that allows for a mapping of theory into any desired measure of output, we establish that the same restrictions may be used to identify technology shocks in a vector autoregression model regardless of the measure of output. However, our estimation reveals that while the combination of both investment-specific technology shocks and neutral technology shocks accounts for a large portion of the business cycle variability of hours and output, the choice of the measure of output via the use of the associated deflator greatly affects the amplification of the shocks in the responses and the variability of the responses in output and hours.

Suggested Citation

  • Irina Panovska & Edouard Wemy, 2024. "Output measurement and technological shocks in business cycles," Applied Economics, Taylor & Francis Journals, vol. 56(49), pages 5845-5862, October.
  • Handle: RePEc:taf:applec:v:56:y:2024:i:49:p:5845-5862
    DOI: 10.1080/00036846.2023.2266600
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00036846.2023.2266600
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00036846.2023.2266600?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:taf:applec:v:56:y:2024:i:49:p:5845-5862. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEC20 .

    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.