Uganda has low levels of youth employment, on average, as evidenced by low employment rates.
Youth (aged 15 to 24) in sub-Saharan Africa were twice as likely to be unemployed compared to any other age group.
400,000 young people enter the job market annually for a mere 9,000 new jobs each year.
Target Population: Refugee kids in Kampala, Uganda.
2. Prioritized “root” cause:
Education and investment failures: Limited opportunities to obtain skills needed means youth are unsure what they’ll need to make a living.
While improving, educational systems are still failing to provide a large proportion of youth with the skills they need to secure a living.
Information about entrepreneurship training is not well addressed to kids.
Of the two, this root cause is the most addressable with a single program.
3. Design & Implementation
Education Phase: This phase runs for two months during weekly hour long sessions.
Application Phase: The application utilizes psychometrics to find the 30 best fitted participants for the program. It does not require a strong record of academic achievement, but rather focuses on students who show potential and curiosity.
Implementation Phase: Each participant receives a 0% loan to launch their business.
Mentors: Each participant will be mentored by a local entrepreneur.
Review Phase: This portion takes the majority of the year and will run as an iterative process where ideas and feedback from mentors are continuously cycled as the businesses form and grow. Each participant will be given a form to track their expenses and profits. Each purchase/ sale will be tracked on the sheet and at the end of each week the students will sum their net profits/expenses.
Process Monitoring: Focus on reporting rates, repayment rates, and profit rates.
Impact Evaluation: We’re educating ~1000 students and selecting 30 students from a psychometric application. The 30 students selected will be the treatment group and will be randomly compared to 30 students not selected - comparison group [RCT Test].
Counterfactual: Randomly picking students in the comparison group guarantees students in the treatment group are expected to be comparable to participants in the comparison group.
Phase-in Comparison: Any differences capture causal impact of program.