IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v59y2025i2d10.1007_s11135-024-02041-2.html
   My bibliography  Save this article

Threshold nonlinear relationship between defense spending and unemployment in different income level countries: evidence from panel smooth transition regression model

Author

Listed:
  • Syed Ali Raza

    (IQRA University
    Taylor’s University, Lakeside Campus, No. 1 Jalan Taylor’s)

  • Maiyra Ahmed

    (IQRA University)

Abstract

This study identifies the threshold level of military spending on unemployment in 82 different income level countries, utilizing annual data from 1995 to 2020. We emphasize the slope parameter and threshold ratio by applying PSTR-panel smooth transition regression technique. Particularly, we applied linearity and no-linearity test to verify the linear/non-linear connection and number of regimes. The findings of this study suggest that in low-income countries, the connection between military spending and unemployment is positive in both regimes. While in middle-income countries, the relationship varies with the regimes as in the first regime, the connection between both the variables is negative, but in the second regime, the connection becomes positive. However, in high-income countries, the connection between the variables under consideration remains the same for the first and second regimes, which is negative. At the same time, the relationship between unemployment and GDP is negative, whereas the connection between population and inflation with unemployment is positive for all income level countries. The study’s outcome implies that government should allocate more resources to other sectors to enhance economic growth and employment in low and middle-income-level countries. In high-income countries, military spending helps reduce unemployment; therefore, if the government allocates a higher budget for military expenditure, it will eventually generate more employment opportunities, leading to economic prosperity.

Suggested Citation

  • Syed Ali Raza & Maiyra Ahmed, 2025. "Threshold nonlinear relationship between defense spending and unemployment in different income level countries: evidence from panel smooth transition regression model," Quality & Quantity: International Journal of Methodology, Springer, vol. 59(2), pages 819-838, April.
  • Handle: RePEc:spr:qualqt:v:59:y:2025:i:2:d:10.1007_s11135-024-02041-2
    DOI: 10.1007/s11135-024-02041-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11135-024-02041-2
    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/s11135-024-02041-2?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.

    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:qualqt:v:59:y:2025:i:2:d:10.1007_s11135-024-02041-2. 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.