{ "background": "Municipal infrastructure asset management in developing nations often relies on cross-sectional data, which fails to capture temporal efficiency dynamics. Previous studies on asset efficiency in the region have not systematically applied or tested the robustness of panel-data methods for engineering management applications.", "purpose and objectives": "This replication study aims to methodologically evaluate the application of panel-data econometrics for measuring efficiency gains in municipal infrastructure systems. It seeks to verify the robustness of prior findings and diagnose potential specification errors in established models.", "methodology": "We replicate core models from seminal works using an expanded longitudinal dataset on municipal water, transport, and public buildings. The primary specification is a two-way fixed effects model: $E{it} = \\alpha + \\beta X{it} + \\mui + \\lambdat + \\epsilon{it}$, where $E{it}$ is an infrastructure efficiency index. Diagnostics include tests for cross-sectional dependence, unit roots, and the use of Driscoll-Kraay standard errors to account for heteroskedasticity and autocorrelation.", "findings": "The replication confirms a positive but diminishing marginal effect of capital renewal spending on asset efficiency, with a 10% increase associated with a 2.3% efficiency gain (95% CI: 1.7% to 2.9%). However, diagnostic tests reveal significant cross-sectional dependence, suggesting earlier pooled estimations are inefficient.", "conclusion": "Panel-data methods are essential for robust efficiency measurement in this context, but common specifications may yield misleading inference if standard diagnostic checks are omitted. The replicated relationship between expenditure and efficiency holds, yet its magnitude is sensitive to error structure.", "recommendations": "Future engineering asset management studies should routinely implement panel diagnostics and robust covariance estimation. Practitioners should interpret efficiency metrics derived from simple panel models with caution unless dependence and heterogeneity are accounted for.", "key words": "infrastructure asset management, panel data, replication study, efficiency measurement, econometric diagnostics", "contribution statement": "This