IDEAS home Printed from https://ideas.repec.org/a/eee/reveco/v96y2024ipas105905602400580x.html
   My bibliography  Save this article

Debt erosion: Asymmetric response to demand and supply shocks

Author

Listed:
  • Valencia, Oscar
  • Gamboa-Arbeláez, Juliana
  • Sánchez, Gustavo

Abstract

This paper explores the effect of inflation supply and demand shocks on government debt for a sample of 32 advanced economies and 24 emerging markets from 1970 to 2022. The shocks are identified using a sign-restricted structural vector autoregression model with quarterly data. Estimations of dynamic panel regressions and local projections suggest that supply shocks lead to persistent increases in government debt, while demand shocks result in long-lasting declines. Furthermore, high debt levels amplify the impacts of both supply and demand shocks by more than three times. Specifically, supply shocks contribute to an increase in debt through elevated borrowing costs and prolonged depreciation, whereas demand shocks erode debt through persistent improvements in the primary balance, driven by increased revenues.

Suggested Citation

  • Valencia, Oscar & Gamboa-Arbeláez, Juliana & Sánchez, Gustavo, 2024. "Debt erosion: Asymmetric response to demand and supply shocks," International Review of Economics & Finance, Elsevier, vol. 96(PA).
  • Handle: RePEc:eee:reveco:v:96:y:2024:i:pa:s105905602400580x
    DOI: 10.1016/j.iref.2024.103588
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S105905602400580X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.iref.2024.103588?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

    Keywords

    Debt; Inflation; Sovereign risk; SVAR; Local projections;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • H63 - Public Economics - - National Budget, Deficit, and Debt - - - Debt; Debt Management; Sovereign Debt

    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:reveco:v:96:y:2024:i:pa:s105905602400580x. 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/inca/620165 .

    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.