Forecasting Retail-Farm Margins for Fresh Tomatoes: Econometrics vs. Neural Networks

Timothy Richards and Pieter van Ispelen

No 285705, 1981-1999 Conference Archive from NCR-134/ NCCC-134 Applied Commodity Price Analysis, Forecasting, and Market Risk Management

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.

Keywords: Marketing (search for similar items in EconPapers)
Date: 1997-04
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Persistent link: https://EconPapers.repec.org/RePEc:ags:nc8191:285705

DOI: 10.22004/ag.econ.285705

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