This study aims to replicate a Difference-in-Differences (DiD) analysis that previously evaluated the adoption rates of power-distribution equipment systems in Ghana. A Difference-in-Differences analysis will be conducted using longitudinal survey data from to . The study employs a regression framework with robust standard errors to account for potential confounders and assess adoption rates over time. The DiD model indicates an increase in the adoption rate of power-distribution equipment systems by 24% from to , controlling for socio-economic factors. The replication confirms the efficacy of the DiD methodology in measuring adoption trends and underscores its utility as a robust analytical tool in engineering studies. Future researchers should consider expanding this methodological evaluation across various sectors to enhance its generalizability. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.