Determinants of youth unemployment in Uganda: The role of gender, education, residence, and age
Muwanga James and
John Bosco Nnyanzi ()
Additional contact information
Muwanga James: School of Economics, Makerere University, Kampala, Uganda
IZA Journal of Labor Policy, 2021, vol. 11, issue 1, 29
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.
Keywords: youth; unemployment; gender; education; residence; age; binomial logit; Uganda; UNHS 2016/17 (search for similar items in EconPapers)
JEL-codes: C21 D01 J21 J23 J64 (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:vrs:izajlp:v:11:y:2021:i:1:p:29:n:1
Access Statistics for this article
IZA Journal of Labor Policy is currently edited by Denis Fougère, Juan F. Jimeno and Núria Rodríguez-Planas
More articles in IZA Journal of Labor Policy from Sciendo & Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA)
Bibliographic data for series maintained by Peter Golla ().