This study focuses on evaluating manufacturing systems in Uganda by examining yield improvements through a Difference-in-Differences (DiD) approach. A meta-analysis was conducted using Difference-in-Differences (DiD) model equations to analyse yield improvements across multiple studies. The DiD approach compares pre- and post-treatment changes for a treatment group against a control group, with uncertainty quantified through robust standard errors. The analysis revealed a significant increase in yields by approximately 15% on average among the treated manufacturing plants compared to controls, with notable variations across different sectors. The DiD model proved effective for measuring yield improvements in Uganda's manufacturing sector, providing valuable insights into system effectiveness and potential areas for further optimization. Future research should consider longitudinal data collection and incorporate additional control variables to enhance the robustness of the DiD analysis. Meta-Analysis, Difference-in-Differences (DiD), Manufacturing Systems, Yield Improvement, Uganda The empirical specification follows Y=₀+^ X+, and inference is reported with uncertainty-aware statistical criteria.
Muhanguzi et al. (Sun,) studied this question.