# Analyzing the Effectiveness of Macroeconomic Policies in Addressing Poverty in Iraq: An Econometric Study considering Digital Transformation and Artificial Intelligence for the Period (2004–2024)

## TL;DR

This study examines how macroeconomic policies in Iraq can reduce poverty, finding that digital transformation and AI can improve policy effectiveness.

## Contribution

The novel contribution is analyzing how digital transformation and AI can enhance macroeconomic policies for poverty reduction in Iraq.

## Key findings

- Monetary policy has the strongest influence on poverty levels, with broad money supply, inflation, and foreign trade showing significant effects.
- Government expenditure meaningfully reduces poverty in both short and long run.
- Digital transformation and AI integration can substantially improve macroeconomic policy effectiveness.

## Abstract

Digital transformation and artificial intelligence (AI) have become increasingly important in enhancing the effectiveness of macroeconomic policies, particularly through improved economic data management and more efficient targeting of vulnerable groups. Poverty reduction remains one of the most critical challenges for policymakers in Iraq due to its wide economic and social implications. Addressing this challenge requires a comprehensive mix of macroeconomic policies tailored to the national context. This study examines the effectiveness of key macroeconomic policy instruments in reducing poverty in Iraq during the period (2004–2024).

The Autoregressive Distributed Lag (ARDL) model is employed, along with the Bounds Testing approach, to investigate the existence of a long-run cointegration relationship between the absolute poverty line and major macroeconomic policy variables, including broad money supply, inflation rate, government expenditure, and per capita foreign trade. Annual time-series data for the period were analyzed to estimate both short-run and long-run dynamics.

The results indicate a statistically significant long-run equilibrium relationship at the (1%) level between macroeconomic policy instruments and the absolute poverty line. The empirical findings show that monetary policy exerts the strongest influence on poverty levels, with broad money supply, inflation, and per capita foreign trade displaying significant effects. Government expenditure plays a meaningful role in reducing poverty in both the short and long run.

The study concludes that integrating digital transformation and AI technologies into the design and implementation of macroeconomic policies can substantially enhance their effectiveness in reducing poverty. Key recommendations include establishing a National Council for Digital Transformation and Artificial Intelligence within the Ministry of Planning, strengthening digital infrastructure through public–private partnerships, activating electronic interlinkages among ministries via unified databases, enhancing financial inclusion platforms targeting vulnerable groups, improving government spending efficiency, and encouraging investments that generate sustainable employment opportunities.