Unemployment Duration and Its Covariates: Evidence From Selected Regions in Ghana

This study examines individual-specific covariates of unemployment duration, with evidence from four administrative regions of Ghana. It employs primary data and semi-parametric Cox regression and Cox proportional hazard models, underpinned by job search and human capital theories. This study is distinct from other unemployment-related studies in Ghana in that it highlights how individual characteristics affect their employability and unemployment spells. The study concludes that age, locality, social networks, alternative income sources, migration, and education are significant factors influencing unemployment duration in Ghana. Also, migration status and education are jointly associated with shorter unemployment duration. The study encourages young people to take up voluntary services and other forms of industry attachments to build labor market experience. Again, the government should develop and implement a policy on industrial attachment and internship programs for tertiary students. Individuals should build and effectively utilize their social networks. Individuals who receive financial support while unemployed should leverage such income to intensify their job search efforts and activities. Moreover, individuals should take advantage of the opportunities created in the educational sector to upgrade their educational levels. The study further encourages job seekers with higher education to migrate as part of their job search efforts and activities. The study sets the springboard for further studies to be conducted on employment duration in Ghana but using longitudinal data and national survey data.

Authors

Institutions

Publication Details

Journal
SAGE Open
Published
2024-10-01
DOI
https://doi.org/10.1177/21582440241287606
Citations
2
Primary Topic
Migration and Labor Dynamics
Type
article
Field-Weighted Citation Impact
2.26
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Unemployment Duration and Its Covariates: Evidence From Selected Regions in Ghana

Ferdinand Ahiakpor, Edmund Adinkra-Darko
2 citations
SAGE Open
Migration and Labor Dynamics
2.26
article

Unemployment Duration and Its Covariates: Evidence From Selected Regions in Ghana

Ferdinand Ahiakpor, Edmund Adinkra-Darko
article en
2 citations

Abstract

This study examines individual-specific covariates of unemployment duration, with evidence from four administrative regions of Ghana. It employs primary data and semi-parametric Cox regression and Cox proportional hazard models, underpinned by job search and human capital theories. This study is distinct from other unemployment-related studies in Ghana in that it highlights how individual characteristics affect their employability and unemployment spells. The study concludes that age, locality, social networks, alternative income sources, migration, and education are significant factors influencing unemployment duration in Ghana. Also, migration status and education are jointly associated with shorter unemployment duration. The study encourages young people to take up voluntary services and other forms of industry attachments to build labor market experience. Again, the government should develop and implement a policy on industrial attachment and internship programs for tertiary students. Individuals should build and effectively utilize their social networks. Individuals who receive financial support while unemployed should leverage such income to intensify their job search efforts and activities. Moreover, individuals should take advantage of the opportunities created in the educational sector to upgrade their educational levels. The study further encourages job seekers with higher education to migrate as part of their job search efforts and activities. The study sets the springboard for further studies to be conducted on employment duration in Ghana but using longitudinal data and national survey data.

SAGE OpenVol. 14(4)
University of Cape Coast (GH)
Decent work and economic growth
Openalex Percentile: Top 9%
Migration and Labor Dynamics
2.26
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.