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Forecasting Consumer Price Indexes for Food: A Demand Model Approach

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  • Huang, Kuo S.

Abstract

Forecasting food prices is an important component of the U.S. Department of Agricultureís short-term outlook and long-term baseline forecasting activities. A food price-forecasting model is developed by applying an inverse demand system, in which prices are functions of quantities of food use and income. Therefore, these quantity and income variables can be used as explanatory variables for food price changes. The empirical model provides an effective instrument for forecasting consumer price indexes of 16 food categories.

Suggested Citation

  • Huang, Kuo S., 2000. "Forecasting Consumer Price Indexes for Food: A Demand Model Approach," Technical Bulletins 33564, United States Department of Agriculture, Economic Research Service.
    • Handle: RePEc:ags:uerstb:33564
    DOI: 10.22004/ag.econ.33564
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    Cited by:

    1. Reed, Albert J. & Elitzak, Howard & Wohlgenant, Michael K., 2002. "Retail-Farm Price Margins And Consumer Product Diversity," Technical Bulletins 33573, United States Department of Agriculture, Economic Research Service.

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    Keywords

    Demand and Price Analysis;

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