6ector autore ression models are used to forecast five meat and fish Consumer Price Indexes.J A price markup model is employed as the underlying model specification. Two different approaches are used to estimate the models. The ability of each model to produce reliable forecasts was tested by means of three forecast simulations. Theil's U2 coefficient, root mean square errors, and turning point accuracy are used to evaluate the forecasting results. The analysis suggests that the estimated equations are useful for forecasts made one quarter into the future.