Methodological Assessment and Efficiency Evaluation in Ethiopian District Hospitals Systems: A Panel Data Approach to Measuring Gains

District hospitals in Ethiopia play a crucial role in healthcare delivery. However, their operational efficiency varies significantly across different regions. The study employs a two-stage least squares (2SLS) regression model to estimate the impact of various factors on hospital performance. The robustness of these findings is assessed through bootstrapping methods, providing confidence intervals. A key finding suggests that investment in infrastructure and training programmes can lead to substantial gains in efficiency by up to 15% over a two-year period. The panel data approach reveals significant potential for improving district hospital performance through targeted interventions. The model's robustness is validated using bootstrapping techniques, ensuring reliable estimates of efficiency improvements. Policy makers should prioritise investments in infrastructure and human resources to enhance the operational effectiveness of Ethiopian district hospitals. District Hospitals, Efficiency Gains, Panel Data Analysis, Two-Stage Least Squares (2SLS), Robustness Testing Treatment effect was estimated with logit(pᵢ)=β₀+β^ Xᵢ, and uncertainty reported using confidence-interval based inference.