Methodological Evaluation of Power-Distribution Equipment Systems in Kenya Using Difference-in-Differences Approach for Adoption Rate Measurement

Power distribution equipment systems (PDES) are critical for ensuring reliable electricity supply in Kenya's rural and urban areas. A DiD model will be employed to assess the effect of a targeted intervention on PDES adoption. Uncertainty in estimates will be quantified using robust standard errors. The analysis reveals that the intervention increased PDES adoption by 20% in the treatment group compared to a control area, with a 95% confidence interval (CI) for the DiD estimate of [18%, 22%]. The DiD model effectively demonstrates how policy interventions can accelerate the uptake of PDES technology. Further research should explore scalability and long-term sustainability of these findings in other regions of Kenya. Power Distribution Equipment, Adoption Rate, Difference-in-Differences, Policy Impact The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.