Methodological Evaluation of Regional Monitoring Networks in Nigeria Using Difference-in-Differences for Adoption Assessment

In Nigeria, regional monitoring networks have been established to assess adoption rates of agricultural technologies in different regions. A DID model will be employed to analyse pre- and post-monitoring periods, comparing change in adoption rates between intervention (networked) and control (non-networked) areas. The analysis indicates a significant increase in poultry vaccination coverage from 50% to 72% in the network regions compared to 40% The DID model successfully captures regional differences, providing robust estimates of adoption effects. Future studies should consider additional control variables and longitudinal data for more comprehensive analysis. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.