IDEAS home Printed from https://ideas.repec.org/a/eee/aosoci/v112y2024ics0361368223000934.html
   My bibliography  Save this article

Accounting for GDP– A study of epistemic strategies when calculating the quarterly economy

Author

Listed:
  • Du Rietz, Sabina

Abstract

Previous studies of macroeconomic accounting have focused on the conceptual and political development of national accounts and how such theoretical concepts generate economic reality. By turning focus to the calculative practices of macroeconomic accounting, studying the Norwegian Quarterly National Accounts (QNA), the present work underlines that the national economy is not only constituted in the political discourse of growth and within international classifications, but also within the everyday processes of calculating the numbers. It shows how the QNA team struggles to adhere to the formal classifications and find reliable empirical accounts that matches them. In such situations, epistemic strategies are employed to handle the “gaps” and misalignments between the formal classifications and the everyday calculative practice. By theorizing the validation and support of weak numbers within a calculative culture shaped by the handling of second-order measurements and interrupted representations, the present study contributes to an emerging accounting literature on interrupted and hyperreal representations.

Suggested Citation

  • Du Rietz, Sabina, 2024. "Accounting for GDP– A study of epistemic strategies when calculating the quarterly economy," Accounting, Organizations and Society, Elsevier, vol. 112(C).
  • Handle: RePEc:eee:aosoci:v:112:y:2024:i:c:s0361368223000934
    DOI: 10.1016/j.aos.2023.101522
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0361368223000934
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.aos.2023.101522?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:eee:aosoci:v:112:y:2024:i:c:s0361368223000934. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/aos .

    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.