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Abstract

Time-series analyses of food demand often add dummy or harmonic variables to shift intercept terms during periods when seasonal effects exist. However, variable coefficients may be influenced by seasonality and the effects may vary by region. In this paper, a cluster analysis of seasonality indices for food products shows that distinct regions exist with similar seasonal patterns. Researchers could use these clusters to test for season-region interactions when other information about seasonality is unavailable.

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