IDEAS home Printed from https://ideas.repec.org/a/spr/empeco/v66y2024i4d10.1007_s00181-023-02503-w.html
   My bibliography  Save this article

The evolution of the natural rate of interest: evidence from the Scandinavian countries

Author

Listed:
  • Hanna Armelius

    (Sveriges Riksbank)

  • Martin Solberger

    (Uppsala University)

  • Erik Spånberg

    (Stockholm University)

  • Pär Österholm

    (Örebro University
    National Institute of Economic Research
    University of Sydney)

Abstract

In this paper, the natural rate of interest in Denmark, Norway and Sweden is estimated. This is done by augmenting the Laubach and Williams (Rev Econ Stat 85:1063–1070, 2003) framework with a dynamic factor model linked to economic indicators––a modelling choice which allows us to better identify business cycle fluctuations. We estimate the model using Bayesian methods on data ranging from 1990Q1 to 2022Q4. The results indicate that the natural rate has declined substantially and in all countries is at a low level at the end of the sample.

Suggested Citation

  • Hanna Armelius & Martin Solberger & Erik Spånberg & Pär Österholm, 2024. "The evolution of the natural rate of interest: evidence from the Scandinavian countries," Empirical Economics, Springer, vol. 66(4), pages 1633-1659, April.
  • Handle: RePEc:spr:empeco:v:66:y:2024:i:4:d:10.1007_s00181-023-02503-w
    DOI: 10.1007/s00181-023-02503-w
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s00181-023-02503-w
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s00181-023-02503-w?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 look for a different version below or search for a different version of it.

    Other versions of this item:

    More about this item

    Keywords

    Monetary policy; Business cycle; Bayesian filter; Dynamic factor model;
    All these keywords.

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

    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:spr:empeco:v:66:y:2024:i:4:d:10.1007_s00181-023-02503-w. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.