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International Income and Price Elasticity Estimates: An Update

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  • Zereyesus, Yacob Abrehe
  • Xia, Tian
  • Nava, Noé J.
  • Li, Xianghong
  • Cardell, Lila

Abstract

Price and income elasticities are key to understanding how changes in prices and income affect food demand. The U.S. Department of Agriculture’s International Food Security Assessment and Baseline models rely on price and income elasticity estimates from previous studies (Seale et al., 2003; Muhammad et al., 2011). This study derives new elasticities using an Almost Ideal Demand System (AIDS) approach and relies on data from the 2017 International Comparison Program (ICP) of the World Bank. The ICP data, covering 176 economies, are categorized by geographic regions and income groups. Results indicate that consumers in low-income economies allocate a higher proportion of their income to necessities like food, while those in high-income economies spend more on luxury goods. Marginal shares demonstrate changes in food spending distribution across subcategories based on income levels. The study also identifies the price elasticity of various food items, distinguishing between relatively price inelastic (e.g., “bread and cereals,” “oils and fats,” “fruit,” “vegetables,” and “sugar, jam, honey, chocolate, and confectionery”) and price elastic (e.g., “meat,” “fish and seafood,” and “nonalcoholic beverages”) subcategories.

Suggested Citation

  • Zereyesus, Yacob Abrehe & Xia, Tian & Nava, Noé J. & Li, Xianghong & Cardell, Lila, 2025. "International Income and Price Elasticity Estimates: An Update," Technical Bulletins 358604, United States Department of Agriculture, Economic Research Service.
  • Handle: RePEc:ags:uerstb:358604
    DOI: 10.22004/ag.econ.358604
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    References listed on IDEAS

    as
    1. Regmi, Anita & Seale, James L., Jr., 2010. "Cross-Price Elasticities of Demand Across 114 Countries," Technical Bulletins 59870, United States Department of Agriculture, Economic Research Service.
    2. Juan Carlos Caro & Shu Wen Ng & Ricardo Bonilla & Jorge Tovar & Barry M Popkin, 2017. "Sugary drinks taxation, projected consumption and fiscal revenues in Colombia: Evidence from a QUAIDS model," PLOS ONE, Public Library of Science, vol. 12(12), pages 1-16, December.
    3. Toshinobu Matsuda, 2006. "A trigonometric flexible consumer demand system," Canadian Journal of Economics, Canadian Economics Association, vol. 39(1), pages 145-162, February.
    4. Seale, James L., Jr. & Regmi, Anita & Bernstein, Jason, 2003. "International Evidence On Food Consumption Patterns," Technical Bulletins 33580, United States Department of Agriculture, Economic Research Service.
    5. Seale, James L., Jr. & Regmi, Anita & Bernstein, Jason, 2003. "International Evidence On Food Consumption Patterns," Technical Bulletins 33580, United States Department of Agriculture, Economic Research Service.
    6. James Banks & Richard Blundell & Arthur Lewbel, 1997. "Quadratic Engel Curves And Consumer Demand," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 527-539, November.
    7. Muhammad, Andrew & Meade, Birgit Gisela Saager & Regmi, Anita & Seale, James L., 2011. "International Evidence on Food Consumption Patterns: An Update Using 2005 International Comparison Program Data," Technical Bulletins 120252, United States Department of Agriculture, Economic Research Service.
    8. Meade, Birgit & Muhammad, Andrew, 0. "New International Evidence on Food Consumption Patterns: A Focus on Cross-Price Effects Based on 2005 International Comparison Program Data," Amber Waves, United States Department of Agriculture, Economic Research Service, issue 03, April.
    9. Jeffrey T. LaFrance, 1993. "Weak Separability in Applied Welfare Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(3), pages 770-775.
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    12. Brian P. Poi, 2012. "Easy demand-system estimation with quaids," Stata Journal, StataCorp LLC, vol. 12(3), pages 433-446, September.
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