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Abstract

This study compares the forecasting ability of an econometric and neural-network model of fresh tomato retail-farm margins over the period 1980-94. Tests of forecast accuracy show that the neural-network significantly outperforms the econometric model, while the latter is better able to predict turning points in the series.

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