Smallholder Farms Yield Improvement in Uganda: A Multilevel Regression Analysis

Smallholder farms in Uganda face challenges to yield improvements due to various environmental and economic factors. The research employs a multilevel regression model to analyse data from multiple levels (farm level, village level) and incorporates robust standard errors for uncertainty assessment. A notable proportion of smallholder farms experienced an increase in yields by 15% after implementing recommended agricultural practices, suggesting significant yield improvement. The multilevel regression analysis provides insights into the effectiveness of specific interventions on farm yield improvements, contributing to sustainable agricultural development. Future research should focus on scaling up these findings for broader application and policy implementation in similar contexts. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.