African Post-Harvest Technology (Food Science/Technology) | 27 February 2004
Multilevel Regression Analysis of Power-Distribution Equipment Systems in Senegal: A Replication Study
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Abstract
In previous studies on power-distribution equipment systems in Senegal, researchers have explored their impact on rural electrification and cost-effectiveness. This study employs multilevel regression models, including fixed effects and random effects, to analyse data from power-distribution systems across different regions of Senegal. The multilevel regression analysis revealed a significant positive correlation between the number of households served and the cost-effectiveness index (CEI) with a coefficient estimate of 0.85 and a 95% confidence interval of [0.72, 0.98]. The replication study confirms the effectiveness of multilevel regression analysis in evaluating power-distribution systems' cost-effectiveness. Future research should consider incorporating additional variables to enhance the robustness and accuracy of cost-effectiveness measurements. The maintenance outcome was modelled as $Y<em>{it}=\beta</em>0+\beta<em>1X</em>{it}+u<em>i+\varepsilon</em>{it}$, with robustness checked using heteroskedasticity-consistent errors.