Diagnosing Cross-Sectional Time Series Models of Money Supply For Arab Countries

Section: Article
Issue
Vol. 22 No. 2 (2025): Volume 22 Issue 2
Published
Nov 30, 2025
Pages
60-67

Abstract

Using cross-sectional time series models, the study concludes by determining the extent of development of trends in fiscal policy tools and money supply in the narrow sense for three countries (Iraq, Jordan, and Algeria). It also suggests a statistical model to analyze the study data and determines the extent of the impact and effectiveness of fiscal policy tools on money supply through its financial tools represented by public spending and tax revenues. Eviews10, a statistical tool, was used to handle annual data for the years 1993–2023. The cumulative regression model is the best model, according to the results of the Fisher statistical test. The money supply in the countries under investigation has a substantial positive relationship with tax revenues, whereas public spending has a non-significant positive relationship. The estimated parameters of the suggested model are consistent with both practical reality and economic theory presumptions.

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Authors

Yousif Ahmed Khalaf

Department of Statistics and Informatics, College of Computer Science and Mathematics, University of Mosul, Mosul, Iraq

Najlaa Saad Ibrahim

Department of Statistics and Informatics, College of Computer Science and Mathematics, University of Mosul, Mosul, Iraq

Identifiers

https://doi.org/10.33899/iqjoss.v22i2.54077
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How to Cite

Khalaf, Y. A. ., & Ibrahim, N. S. . (2025). Diagnosing Cross-Sectional Time Series Models of Money Supply For Arab Countries. IRAQI JOURNAL OF STATISTICAL SCIENCES, 22(2), 60–67. https://doi.org/10.33899/iqjoss.v22i2.54077