Time-Series Forecasting Model Evaluation for Cost-Effectiveness of Municipal Infrastructure Assets in Senegal

The cost-effectiveness of municipal infrastructure assets in Senegal is a critical concern for public sector managers. A systematic approach was employed to develop and validate forecasting models using historical data from . The developed model predicted maintenance costs with an accuracy of ±5% over a five-year horizon. The time-series forecasting models are reliable tools for assessing municipal infrastructure cost-effectiveness in Senegal. The models should be used alongside other data sources to inform policy decisions on asset management and funding allocation. Senegal, Municipal Infrastructure, Cost-Effectiveness, Time-Series Forecasting, Asset Management The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.