This study addresses the efficiency of secondary school systems in Kenya by applying a Bayesian hierarchical model to evaluate performance. A Bayesian hierarchical model was employed to analyse data from secondary schools in Kenya. This approach accounts for both school-level and district-level variations in efficiency, providing a nuanced understanding of system performance. The analysis revealed significant variability in school efficiency across different regions, with some districts showing substantial gains (up to 25%) over others. Bayesian hierarchical modelling offers an effective tool for measuring and comparing the efficiency of secondary schools in Kenya, particularly within the energy sector. Based on these findings, it is recommended that targeted interventions be implemented in low-performing districts to enhance overall system performance. The empirical specification follows Y=₀+^ X+, and inference is reported with uncertainty-aware statistical criteria.
Johnson et al. (Wed,) studied this question.
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