Exploring the Drivers of Youth Pursuing Vocational Training in High-Paying Sectors in Côte d’Ivoire
Education and skills are two key determinants of earning potential, with sector specialization significantly influencing earnings. This study examines the drivers behind training choices in two high-paying sectors: information and communications technology (ICT) and energy. Drawing on data from 2,528 individuals seeking vocational training in Côte d’Ivoire, we find that a majority (72% of men and 51% of women) aspire to train in ICT or energy. For both genders, higher levels of education and larger professional networks are positively correlated with selecting training in these high-paying sectors. For women, previous training in similar fields strongly predicts their training choices, highlighting path dependency. Additionally, women benefit more from male role models, which significantly increase their likelihood of choosing a training in ICT or energy. Women with greater agency are also more likely to opt for training in these sectors. Conversely, women holding more traditional views on specific household responsibilities are less likely to choose high-paying sector training.
| Main Authors: | , , , |
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| Format: | Working Paper biblioteca |
| Language: | English en_US |
| Published: |
Washington, DC: World Bank
2024-09-25
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| Subjects: | AFRICA GENDER POLICY, GENDER INNOVATION LAB, WOMEN AND YOUTH EMPLOYMENT, WOMEN AND SOCIAL NORMS, GENDER EQUALITY, SDG 5, |
| Online Access: | http://documents.worldbank.org/curated/en/099409009232426569/IDU161ea2e5f1bea31464b19ff210888dbba0632 https://hdl.handle.net/10986/42199 |
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| Summary: | Education and skills are two key
determinants of earning potential, with sector
specialization significantly influencing earnings. This
study examines the drivers behind training choices in two
high-paying sectors: information and communications
technology (ICT) and energy. Drawing on data from 2,528
individuals seeking vocational training in Côte d’Ivoire, we
find that a majority (72% of men and 51% of women) aspire to
train in ICT or energy. For both genders, higher levels of
education and larger professional networks are positively
correlated with selecting training in these high-paying
sectors. For women, previous training in similar fields
strongly predicts their training choices, highlighting path
dependency. Additionally, women benefit more from male role
models, which significantly increase their likelihood of
choosing a training in ICT or energy. Women with greater
agency are also more likely to opt for training in these
sectors. Conversely, women holding more traditional views on
specific household responsibilities are less likely to
choose high-paying sector training. |
|---|