This study aims to evaluate municipal water systems in Ethiopia from a methodological perspective. Bayesian hierarchical models are employed to analyse data collected from municipal water systems in Ethiopia. This approach allows for the integration of regional-specific factors and provides robust estimates of efficiency gains. A key finding is that the application of Bayesian hierarchical models has revealed significant variability in efficiency across different regions, with some areas showing substantial improvements over others. The analysis suggests that tailored interventions could be more effective in achieving consistent efficiency gains within municipal water systems. Recommendations include prioritising regional-specific strategies based on the findings to enhance overall system performance and sustainability. Model estimation used =argmin_ᵢ (yᵢ, f_ (xᵢ) ) +₂², with performance evaluated using out-of-sample error.
Kebede et al. (Wed,) studied this question.