Determinants of youth unemployment in Uganda: The role of gender, education, residence, and age

Youth unemployment in Uganda increased from 12.7% in 2012/13 to 13.3 in 2016/17, despite a decline in the overall national unemployment rate from 11.1% to 9.2%. This poses serious development challenges, particularly to the ongoing efforts to poverty reduction. The main objective of the current stud...

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Autores principales:	Egessa Abel, Nnyanzi John Bosco, Muwanga James
Formato:	article
Lenguaje:	EN
Publicado:	Sciendo 2021
Materias:	youth unemployment gender education residence age binomial logit uganda unhs 2016/17 c21 d01 j21 j23 j64 Labor policy. Labor and the state HD7795-8027
Acceso en línea:	https://doaj.org/article/0655c370344f42988b8d35fd1d731559
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spelling	oai:doaj.org-article:0655c370344f42988b8d35fd1d7315592021-12-05T14:11:08ZDeterminants of youth unemployment in Uganda: The role of gender, education, residence, and age2193-900410.2478/izajolp-2021-0008https://doaj.org/article/0655c370344f42988b8d35fd1d7315592021-09-01T00:00:00Zhttps://doi.org/10.2478/izajolp-2021-0008https://doaj.org/toc/2193-9004Youth unemployment in Uganda increased from 12.7% in 2012/13 to 13.3 in 2016/17, despite a decline in the overall national unemployment rate from 11.1% to 9.2%. This poses serious development challenges, particularly to the ongoing efforts to poverty reduction. The main objective of the current study is to examine the extent to which gender, education, residence, and age determine youth unemployment in Uganda. Using recent data from the Uganda National Household Survey 2016/17 collected by the Uganda National Bureau of Statistics, we obtained a sample of 5,912 respondents for the ages between 18 years and 30 years. The main findings based on a binary logistic regression approach, reveal that education, gender, residence, and age are all critical in driving youth unemployment. The Ugandan youth who has some level of education is more likely to be unemployed compared to those with no education. But the youth that attended post-secondary education is associated with the highest unemployment probability followed by those with secondary school education and finally by primary education. While an increase in age appears to increase youth unemployment for females, the married youth have less chances of being unemployed compared to the unmarried youth. Moreover, as the probability of being unemployed reduces for the married youth, being divorced increases that probability. Similarly, the male youth are found more likely to be unemployed than their female counterparts. Additionally, the urban youth increased their chances of unemployment compared to the rural ones. Likewise, males are far more likely to remain in unemployment relative to females, just as living in the northern, eastern, or western region as a youth is less risky in terms of unemployment compared to living in the central region. On the other hand, whereas the education level of the household head is not important for youth unemployment, the marital status and gender of the household head are critical. The indirect effects of education, gender, residence, and age are clearly notable. Implications for policy and research are drawn.Egessa AbelNnyanzi John BoscoMuwanga JamesSciendoarticleyouthunemploymentgendereducationresidenceagebinomial logitugandaunhs 2016/17c21d01j21j23j64Labor policy. Labor and the stateHD7795-8027ENIZA Journal of Labor Policy, Vol 11, Iss 1, Pp 121-136 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	youth unemployment gender education residence age binomial logit uganda unhs 2016/17 c21 d01 j21 j23 j64 Labor policy. Labor and the state HD7795-8027
spellingShingle	youth unemployment gender education residence age binomial logit uganda unhs 2016/17 c21 d01 j21 j23 j64 Labor policy. Labor and the state HD7795-8027 Egessa Abel Nnyanzi John Bosco Muwanga James Determinants of youth unemployment in Uganda: The role of gender, education, residence, and age
description	Youth unemployment in Uganda increased from 12.7% in 2012/13 to 13.3 in 2016/17, despite a decline in the overall national unemployment rate from 11.1% to 9.2%. This poses serious development challenges, particularly to the ongoing efforts to poverty reduction. The main objective of the current study is to examine the extent to which gender, education, residence, and age determine youth unemployment in Uganda. Using recent data from the Uganda National Household Survey 2016/17 collected by the Uganda National Bureau of Statistics, we obtained a sample of 5,912 respondents for the ages between 18 years and 30 years. The main findings based on a binary logistic regression approach, reveal that education, gender, residence, and age are all critical in driving youth unemployment. The Ugandan youth who has some level of education is more likely to be unemployed compared to those with no education. But the youth that attended post-secondary education is associated with the highest unemployment probability followed by those with secondary school education and finally by primary education. While an increase in age appears to increase youth unemployment for females, the married youth have less chances of being unemployed compared to the unmarried youth. Moreover, as the probability of being unemployed reduces for the married youth, being divorced increases that probability. Similarly, the male youth are found more likely to be unemployed than their female counterparts. Additionally, the urban youth increased their chances of unemployment compared to the rural ones. Likewise, males are far more likely to remain in unemployment relative to females, just as living in the northern, eastern, or western region as a youth is less risky in terms of unemployment compared to living in the central region. On the other hand, whereas the education level of the household head is not important for youth unemployment, the marital status and gender of the household head are critical. The indirect effects of education, gender, residence, and age are clearly notable. Implications for policy and research are drawn.
format	article
author	Egessa Abel Nnyanzi John Bosco Muwanga James
author_facet	Egessa Abel Nnyanzi John Bosco Muwanga James
author_sort	Egessa Abel
title	Determinants of youth unemployment in Uganda: The role of gender, education, residence, and age
title_short	Determinants of youth unemployment in Uganda: The role of gender, education, residence, and age
title_full	Determinants of youth unemployment in Uganda: The role of gender, education, residence, and age
title_fullStr	Determinants of youth unemployment in Uganda: The role of gender, education, residence, and age
title_full_unstemmed	Determinants of youth unemployment in Uganda: The role of gender, education, residence, and age
title_sort	determinants of youth unemployment in uganda: the role of gender, education, residence, and age
publisher	Sciendo
publishDate	2021
url	https://doaj.org/article/0655c370344f42988b8d35fd1d731559
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Determinants of youth unemployment in Uganda: The role of gender, education, residence, and age

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