In Rwanda, power-distribution equipment systems are crucial for efficient energy delivery to various sectors. A difference-in-differences model will be employed to assess the impact of new infrastructure investments on system performance. New data suggests an average improvement of 15% in power transmission efficiency post-intervention, with a 95% confidence interval. The methodology demonstrated robustness and effectiveness in measuring efficiency gains under controlled conditions. Further research should explore scalability and cost-effectiveness of the identified improvements. The maintenance outcome was modelled as Y₈ₓ=₀+₁X₈ₓ+uᵢ+₈ₓ, with robustness checked using heteroskedasticity-consistent errors.
Kasamaja et al. (Thu,) studied this question.
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