# A methodological comparative analysis of monetary policy and trade openness on economic growth in West Africa: Does language play a role?

**Authors:** Seth Acquah Boateng, Bridgette Enimil, Ebenezer Takyi-Danquah

PMC · DOI: 10.1371/journal.pone.0341073 · PLOS One · 2026-02-05

## TL;DR

This study compares how monetary policy and trade openness affect economic growth in West African countries, finding differences between French- and English-speaking regions.

## Contribution

The novelty lies in using machine learning to reveal non-linear effects and language-based differences in economic policy impacts.

## Key findings

- Monetary expansion boosts growth more in Francophone West Africa.
- Trade openness has opposite effects in Francophone and Anglophone regions.
- Random Forest outperforms traditional methods in predicting economic growth.

## Abstract

The study examines the effect of monetary policy and trade openness on economic growth in the ECOWAS countries. Using panel regression analysis and the Random Forest algorithm from the machine learning technique, the study reveals the existence of a major difference between the two language communities. The expansion of the broad money supply has a highly positive effect on economic growth in the two language communities; the impact is much greater in the Francophone countries. But trade openness has contradictory associations; it is positive in the Francophone countries and negative in the Anglophone countries. The Random Forest approach outperforms the standard econometric approach in terms of predictive accuracy (R² = 67.56%), thereby confirming the existence of non-linear associations. The evidence of major differences is linked to the existence of different post-colonial institutions; that is, the common CFA currency institutions in the Francophone countries and the independent national monetary policies in the Anglophone countries. The study implies that ECOWAS countries require distinct policies instead of standard policies.

## Full-text entities

- **Genes:** TBCA (tubulin folding cofactor A) [NCBI Gene 6902]
- **Diseases:** COVID-19 (MESH:D000086382), shock (MESH:D012769)
- **Chemicals:** GDP (MESH:D006153)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12875439/full.md

## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12875439/full.md

## References

56 references — full list in the complete paper: https://tomesphere.com/paper/PMC12875439/full.md

---
Source: https://tomesphere.com/paper/PMC12875439