Abstract
Job search frictions — including limited access to information, weak networks, and skills mismatches — are significant barriers to employment for technical diploma graduates in low- and middle-income countries, with women facing additional constraints around mobility, household responsibilities, and discriminatory norms. In Bangladesh, employment outcomes for technical diploma graduates remain weak despite substantial government investment in technical and vocational education and training, and use of digital job search platforms is limited.
This study aims to identify scalable approaches to improving the school-to-work transition for technical diploma graduates in Bangladesh, with a particular focus on gender. The intervention introduces and trains final-year technical diploma students to use an online job matching platform, with continued support through AI-enabled job search tools. Using a randomized controlled trial design, we will estimate impacts on job search behavior and labor market outcomes, and examine differential effects by gender.