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 Y₈ₓ=₀+₁X₈ₓ+uᵢ+₈ₓ, with robustness checked using heteroskedasticity-consistent errors.
Freddy Addo-Ashong (Fri,) studied this question.
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