Les techniques de modélisation des données de panel Application à l’impact de la dette publique sur les recettes fiscales: cas des pays du Maghreb Arabe

Panel Data Modeling Techniques Application to the impact of public debt on tax revenue: case Arab Maghreb countries

Auteurs

  • Talem Ali
  • Boulabbas Mokhtar

Mots-clés :

panel data, longitudinal data, fixed effects model, random effects model, homogeneity, heterogeneity.

Résumé

The objective of the study is to present the different specification tests used to determine the appropriate model for modeling panel data. These tests were applied to data on public debt and tax revenue from the three countries of the Arab Maghreb, in order to determine whether the accumulation of public debt has an effect on the mobilization of tax revenue in those countries.
The study concluded that the fixed individual effects model is the appropriate one, the estimate of the latter shows a negative impact of indebtedness on the tax revenues of these countries

Téléchargements

Publiée

2025-07-14

Comment citer

Talem Ali, & Boulabbas Mokhtar. (2025). Les techniques de modélisation des données de panel Application à l’impact de la dette publique sur les recettes fiscales: cas des pays du Maghreb Arabe: Panel Data Modeling Techniques Application to the impact of public debt on tax revenue: case Arab Maghreb countries. Journal of North African Economies, 19(32), 289–303. Consulté à l’adresse https://journals.univ-chlef.dz/index.php/renaf/article/view/540