Modeling the Impact of Fiscal and Monetary Policies on Economic Growth in Algeria During the Period (2000-2024) — Using Artificial Intelligence Techniques and Python Programming Language.

Abstract

This study aims to analyze the impact of fiscal and monetary policies on economic growth in Algeria during the period (2000–2024), using artificial intelligence techniques and the Python programming language.

The study relied on annual data for a set of macroeconomic variables, most notably: Gross Domestic Product (GDP), government expenditure, public revenues, money supply, inflation rates, and interest rates.

Python libraries such as NumPy and Pandas were used for data processing and building predictive models. The results showed that fiscal policy had a direct and strong impact on economic growth, particularly through public spending related to the hydrocarbons sector. In contrast, the impact of monetary policy was relatively weaker due to the limited effectiveness of its tools in the context of heavy dependence on oil revenues.