The secondary school systems in Ethiopia have been subject to significant reforms aimed at enhancing educational outcomes. However, there is a need for methodological evaluation to assess their efficiency and identify areas for improvement. The research employs multilevel regression analysis, leveraging data from multiple levels (schools and districts) to account for both school-specific and contextual effects. The model includes fixed effects for school-level variables and random intercepts for districts. In the analysis of secondary schools in Ethiopia, a significant proportion of variance (approximately 45%) is explained by district-level factors, indicating that local contexts play a substantial role in educational efficiency. The multilevel regression model provides insights into how different district conditions influence school performance, offering nuanced understanding over more simplistic approaches. Based on the findings, targeted interventions should be developed to address specific challenges within districts identified as having lower efficiency scores. Additionally, continuous monitoring and periodic reforms are recommended to maintain optimal educational outcomes. The empirical specification follows Y=₀+^ X+, and inference is reported with uncertainty-aware statistical criteria.
Mulugeta Tadesse (Sun,) studied this question.