Government size and output volatility in Sub-Saharan African Countries: do threshold levels exist?

This study aimed to examine the threshold effects of government size on output volatility using a panel of 22 Sub-Saharan African (SSA) countries spanning over the 1997–2021 period. Hansen’s threshold methodology was used to estimate threshold levels of government size on output volatility. The findings show that there is a threshold value of government size on output volatility in SSA countries. The study further reveals that government size below the estimated threshold positively impacts output volatility more than above the threshold level. The implication is that smaller government size amplifies output volatility and this may partially support the Keynesian paradigm. The study further revealed that only financial development and inflation variables have a negative and statistically significant relationship with output volatility. Foreign direct investment, trade openness, and institutional quality index factors are weakly and positively related but have a statistically insignificant relationship with output volatility. These findings have policy implications such that policymakers should consider the estimated threshold level to mitigate output volatilities. Further, the development of the financial sector and economic diversification are key to addressing the volatility of output that may be brought by economic globalization in SSA countries.

Authors

Institutions

Publication Details

Journal
Cogent Social Sciences
Published
2025-03-26
DOI
https://doi.org/10.1080/23311886.2025.2482887
Citations
1
Primary Topic
Fiscal Policy and Economic Growth
Type
article
Field-Weighted Citation Impact
3.13
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Government size and output volatility in Sub-Saharan African Countries: do threshold levels exist?

George Tweneboah, Khethang Mokoena
1 citations
Cogent Social Sciences
Fiscal Policy and Economic Growth
3.13
article

Government size and output volatility in Sub-Saharan African Countries: do threshold levels exist?

George Tweneboah, Khethang Mokoena
article en
1 citations

Abstract

This study aimed to examine the threshold effects of government size on output volatility using a panel of 22 Sub-Saharan African (SSA) countries spanning over the 1997–2021 period. Hansen’s threshold methodology was used to estimate threshold levels of government size on output volatility. The findings show that there is a threshold value of government size on output volatility in SSA countries. The study further reveals that government size below the estimated threshold positively impacts output volatility more than above the threshold level. The implication is that smaller government size amplifies output volatility and this may partially support the Keynesian paradigm. The study further revealed that only financial development and inflation variables have a negative and statistically significant relationship with output volatility. Foreign direct investment, trade openness, and institutional quality index factors are weakly and positively related but have a statistically insignificant relationship with output volatility. These findings have policy implications such that policymakers should consider the estimated threshold level to mitigate output volatilities. Further, the development of the financial sector and economic diversification are key to addressing the volatility of output that may be brought by economic globalization in SSA countries.

Cogent Social SciencesVol. 11(1)
South African Reserve Bank (ZA), University of the Witwatersrand (ZA)
Openalex Percentile: Top 9%
Fiscal Policy and Economic Growth
3.13
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.