Equations modelling pork supply for North America are estimated assuming coefficients change both randomly and systematically. Results show predictive superiority of time varying models over least squares for sample period. Ex post forecasting does not exhibit similar superiority. Measuring structural change and effect of additional observations on estimates are considered.