Panel Data Estimation for Yield Improvement in Nigerian Manufacturing Plants Systems,

This study addresses the challenge of improving yield in Nigerian manufacturing plants by leveraging panel data analysis techniques. Panel data estimation was employed using a fixed effects model with robust standard errors to control for unobserved heterogeneity across plants over years, ensuring accurate yield measurements. A significant proportion (35%) of the variance in yield improvement could be attributed to plant-specific factors not captured by time-invariant variables alone. The fixed effects model demonstrated superior predictive power compared to cross-sectional and pooled models for measuring yield improvements, offering a more nuanced understanding of system performance. Manufacturing plants should prioritise addressing the identified plant-level determinants of yield improvement to maximise overall efficiency gains. Panel Data Estimation, Manufacturing Systems, Yield Improvement, Nigeria, Fixed Effects Model The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.