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The Homogeneity Restriction and Forecasting Performance of VAR-Type Demand Systems: An Empirical Examination of US Meat Consumption

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  • Wang, Zijun
  • Bessler, David A

Abstract

This paper compares the forecast performance of vector-autoregression-type (VAR) demand systems with and without imposing the homogeneity restriction in the cointegration space. US meat consumption (beef, poultry and pork) data are studied. One up to four-steps-ahead forecasts are generated from both the theoretically restricted and unrestricted models. A modified Diebold-Mariano test of the equality of mean squared forecast errors (MSFE) and a forecast encompassing test are applied in forecast evaluation. Our findings suggest that the imposition of the homogeneity restriction tends to improve the forecast accuracy when the restriction is not rejected. The evidence is mixed when the restriction is rejected. Copyright © 2002 by John Wiley & Sons, Ltd.

Suggested Citation

  • Wang, Zijun & Bessler, David A, 2002. "The Homogeneity Restriction and Forecasting Performance of VAR-Type Demand Systems: An Empirical Examination of US Meat Consumption," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 21(3), pages 193-206, April.
    • Handle: RePEc:jof:jforec:v:21:y:2002:i:3:p:193-206
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    Cited by:

    1. Wang, Zijun & Bessler, David A., 2004. "Forecasting performance of multivariate time series models with full and reduced rank: an empirical examination," International Journal of Forecasting, Elsevier, vol. 20(4), pages 683-695.
    2. Mario Mazzocchi & Davide Delle Monache & Alexandra Lobb, 2006. "A structural time series approach to modelling multiple and resurgent meat scares in Italy," Applied Economics, Taylor & Francis Journals, vol. 38(14), pages 1677-1688.

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