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New International Evidence on Food Consumption Patterns: A Focus on Cross-Price Effects Based on 2005 International Comparison Program Data

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  • Meade, Birgit
  • Muhammad, Andrew

Abstract

Cross-price elasticities are updated in this report, using the World Bank’s 2005 International Comparison Program (ICP) data for 9 major consumption categories across 144 countries. The 2005 ICP offers the most recent consistent data set for such a large number of countries. The consumption categories are: food, beverage and tobacco; clothing and footwear; gross rent, fuel, and power; house furnishings and operations; medical and health; transport and communications; recreation; education; and “other.” Cross-price elasticities also are calculated and reported for a two-good demand system based on food and nonfood items. To our knowledge, the cross-country cross-price elasticity estimates in this report represent the only available consistent elasticity estimates for this large a number of countries and consumption categories, updated from earlier estimates based on 1996 ICP data.
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Suggested Citation

  • Meade, Birgit & Muhammad, Andrew, 2014. "New International Evidence on Food Consumption Patterns: A Focus on Cross-Price Effects Based on 2005 International Comparison Program Data," Amber Waves:The Economics of Food, Farming, Natural Resources, and Rural America, United States Department of Agriculture, Economic Research Service, issue 03, pages 1-1, April.
    • Handle: RePEc:ags:uersaw:211210
    DOI: 10.22004/ag.econ.211210
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    Cited by:

    1. Xinru Han & Yongfu Chen & Xiudong Wang, 2022. "Impacts of China’s bioethanol policy on the global maize market: a partial equilibrium analysis to 2030," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 14(1), pages 147-163, February.
    2. Clements, Kenneth W. & Gao, Grace, 2015. "The Rotterdam demand model half a century on," Economic Modelling, Elsevier, vol. 49(C), pages 91-103.

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