The power distribution systems in Ethiopia have seen significant investments but yield improvement remains a challenge. A multilevel logistic regression model was applied to analyse data collected from various regions in Ethiopia. The model accounts for both fixed effects (e. g. , type of equipment) and random effects (e. g. , regional variations). The analysis revealed that the adoption of high-efficiency transformers significantly reduced power losses by approximately 20%, with a robust standard error of ±5%. This study contributes to the understanding of which types of equipment yield the best performance under Ethiopian conditions, providing evidence for policy-makers and investors. Policy-makers should prioritise the introduction of high-efficiency transformers in regions where power losses are highest. multilevel regression analysis, power distribution systems, Ethiopia, efficiency improvement The maintenance outcome was modelled as Y₈ₓ=₀+₁X₈ₓ+uᵢ+₈ₓ, with robustness checked using heteroskedasticity-consistent errors.
Mengiste et al. (Wed,) studied this question.