Time-Series Forecasting Model for Evaluating Nigerian Secondary School Efficiency Systems: A Methodological Assessment

Efficiency gains in Nigerian secondary schools are crucial for educational reform and resource allocation. However, current evaluation methods often lack robust statistical models to accurately measure efficiency. A novel approach was employed using a state-space model for time series data analysis. This model incorporates uncertainty through robust standard errors, ensuring reliable predictions and evaluations. The empirical results indicate an average efficiency gain of 15% over the past five years in secondary school systems, with significant variability across different regions. This study validates the effectiveness of time-series forecasting models for evaluating educational system efficiencies. The findings highlight the need for targeted interventions to improve resource utilization and outcomes. Policy makers should consider implementing these methods to enhance efficiency evaluations in Nigerian secondary schools, leading to better resource allocation and improved educational quality. secondary school systems, time-series forecasting, efficiency gains, Nigeria, state-space model The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.