Educational inequality and labour market outcomes in Ghana: A district-level analysis

This paper analyses the effect of educational inequality on labour market outcomes using the two recent rounds of Ghana’s census data collected in 2010 and 2021. The study employs fixed-effects and instrumental variable estimations. Additionally, it makes use of spatial econometric tools to explore the role of spatial dependence in these relationships. The findings show that educational inequality significantly increases the rate of vulnerable employment—by about 22%. No significant effects are observed for unemployment, self-employment and unpaid work. Spatial relationships are important, suggesting that spatial models are needed to fully understand the relationship between inequality in education and how that affects labour outcomes. Specifically, the results indicate that educational inequality in neighbouring districts is associated with an 18–35% reduction in vulnerable employment within a given district. Simiarly, an increase in the average rate of vulnerable employment in neighbouring districts is associated with a 28–55% increase in vulnerable employment within the district. These results have important implications for policymakers regarding the distribution of educational resources to ensure the favourable future labour market outcomes.

Authors

Institutions

Publication Details

Journal
Economic Analysis and Policy
Published
2025-09-22
DOI
https://doi.org/10.1016/j.eap.2025.09.025
Primary Topic
Income, Poverty, and Inequality
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Educational inequality and labour market outcomes in Ghana: A district-level analysis

Monica Lambon‐Quayefio, Edward Asiedu, Edwin Atitsogbui
Economic Analysis and Policy
Income, Poverty, and Inequality
article

Educational inequality and labour market outcomes in Ghana: A district-level analysis

Monica Lambon‐Quayefio, Edward Asiedu, Edwin Atitsogbui
article en

Abstract

This paper analyses the effect of educational inequality on labour market outcomes using the two recent rounds of Ghana’s census data collected in 2010 and 2021. The study employs fixed-effects and instrumental variable estimations. Additionally, it makes use of spatial econometric tools to explore the role of spatial dependence in these relationships. The findings show that educational inequality significantly increases the rate of vulnerable employment—by about 22%. No significant effects are observed for unemployment, self-employment and unpaid work. Spatial relationships are important, suggesting that spatial models are needed to fully understand the relationship between inequality in education and how that affects labour outcomes. Specifically, the results indicate that educational inequality in neighbouring districts is associated with an 18–35% reduction in vulnerable employment within a given district. Simiarly, an increase in the average rate of vulnerable employment in neighbouring districts is associated with a 28–55% increase in vulnerable employment within the district. These results have important implications for policymakers regarding the distribution of educational resources to ensure the favourable future labour market outcomes.

Economic Analysis and PolicyVol. 88
University of Ghana (GH)
Openalex Percentile: Top 66%
Income, Poverty, and Inequality
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.

Educational inequality and labour market outcomes in Ghana: A district-level analysis — Monica Lambon‐Quayefio, Edward Asiedu, et al. · Economic Analysis and Policy (2025) | TGRS Research Map | TGRS