IDEAS home Printed from https://ideas.repec.org/a/seg/012016/v10y2025i1p51-79.html

Modeling The Unemployment Rate Using The Panel Ardl

Author

Listed:
  • Sami Mestiri

Abstract

The purpose of this study is to investigate the effects of macroeconomic variables on the unemployment rate in North African countries. The analysis employed econometric techniques such as panel unit root tests, cointegration analysis, and model estimation. In this study, the short-term and long-term effects of macroeconomic variables on the unemployment rate were investigated using a combined autoregressive distributed lag (ARDL) panel approach. The results show that there is a long-term relationship because the error correction parameter, or adjustment coefficient, is statistically significant and negative. In the short run, gross domestic product growth does negatively affect the unemployment rate; the effect is significant in the long run. On the other hand, the effect of labor force growth is positive and significant in the short run. However, it is not significant in the long run. Finally, the results suggest that the effect of foreign direct investment on the unemployment rate is negative and significant, both in the long run and in the short run.

Suggested Citation

  • Sami Mestiri, 2025. "Modeling The Unemployment Rate Using The Panel Ardl," Journal of Smart Economic Growth, , vol. 10(1), pages 51-79, May.
  • Handle: RePEc:seg:012016:v:10:y:2025:i:1:p:51-79
    as

    Download full text from publisher

    File URL: https://jseg.ro/index.php/jseg/article/view/304/183
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:seg:012016:v:10:y:2025:i:1:p:51-79. 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: Radu Lixandroiu (email available below). General contact details of provider: .

    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.