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A Consistent Food Demand Framework for International Food Security Assessment

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  • Beghin, John C.
  • Meade, Birgit Gisela Saager
  • Rosen, Stacey

Abstract

A parsimonious demand modeling approach has been developed for the annual USDA-ERS International Food Security Assessment. The approach incorporates price effects, food quality variation across income deciles, and consistent aggregation over income deciles and food qualities. The approach is based on a simple PIGLOG demand approach for four food categories. It relies on the existing sparse data available for the assessment, complemented by own-price and income elasticities and available price data. Beyond exact aggregation, the framework exhibits desirable characteristics: food quality is increasing with income; price and income responses become less sensitive with increasing income; and increasing income inequality decreases average per capita food consumption. The proposed approach is illustrated for Tanzania. We then use the calibrated model to decompose the impact of income, prices, and exchange rates on food consumption.

Suggested Citation

  • Beghin, John C. & Meade, Birgit Gisela Saager & Rosen, Stacey, 2014. "A Consistent Food Demand Framework for International Food Security Assessment," 2014: Food, Resources and Conflict, December 7-9, 2014. San Diego, California 197167, International Agricultural Trade Research Consortium.
  • Handle: RePEc:ags:iats14:197167
    DOI: 10.22004/ag.econ.197167
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    Cited by:

    1. Thome, Karen & Meade, Birgit & Rosen, Stacey & Beghin, John C., 2016. "Assessing Food Security in Ethiopia with USDA ERS’s New Food Security Modeling Approach," ARE Working Papers 257823, North Carolina State University, Department of Agricultural and Resource Economics.
    2. Zereyesus, Yacob Abrehe & Cardell, Lila & Valdes, Constanza & Ajewole, Keyode & Zeng, Wendy & Beckman, Jayson & Ivanic, Maros & Hashad, Reem & Jelliffe, Jeremy & Kee, Jennifer, 2022. "International Food Security Assessment, 2022–32," Amber Waves:The Economics of Food, Farming, Natural Resources, and Rural America, United States Department of Agriculture, Economic Research Service, vol. 2022(Food Secu), September.
    3. Broussard, Nzinga H. & Tandon, Sharad, 2016. "Food Insecurity Measures: Experience-Based Versus Nutrition-Based Evidence From India, Bangladesh, and Ethiopia," Economic Research Report 262189, United States Department of Agriculture, Economic Research Service.
    4. Robinson, Amanda Lea, 2016. "Internal Borders: Ethnic-Based Market Segmentation in Malawi," World Development, Elsevier, vol. 87(C), pages 371-384.
    5. Beghin, John C. & Meade, Birgit & Rosen, Stacey, 2014. "A Consistent Food Demand Framework for International Food Security Assessment," Staff General Research Papers Archive 38196, Iowa State University, Department of Economics.
    6. Beghin, John & Meade, Birgit & Rosen, Stacey, 2017. "A food demand framework for International Food Security Assessment," Journal of Policy Modeling, Elsevier, vol. 39(5), pages 827-842.
    7. Zereyesus, Yacob Abrehe & Baquedano, Felix & Morgan, Stephen, 2022. "Evaluating the Prediction Performance of the International Food Security Assessment's Production Models: A Cross-Validation Approach," USDA Miscellaneous 333530, United States Department of Agriculture.
    8. Sognigbe N’Danikou & Raymond Sognon Vodouhe & Mauricio R. Bellon & Amadou Sidibé & Harouna Coulibaly, 2017. "Foraging Is Determinant to Improve Smallholders’ Food Security in Rural Areas in Mali, West Africa," Sustainability, MDPI, vol. 9(11), pages 1-18, November.
    9. Felix Baquedano & Jeremy Jelliffe & Jayson Beckman & Maros Ivanic & Yacob Zereyesus & Michael Johnson, 2022. "Food security implications for low‐ and middle‐income countries under agricultural input reduction: The case of the European Union's farm to fork and biodiversity strategies," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 44(4), pages 1942-1954, December.
    10. MacLachlan, Matthew & Chelius, Carolyn & Short, Gianna, 2022. "Time-Series Methods for Forecasting and Modeling Uncertainty in the Food Price Outlook," USDA Miscellaneous 327370, United States Department of Agriculture.

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    More about this item

    Keywords

    Food Security and Poverty; International Development;

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • F17 - International Economics - - Trade - - - Trade Forecasting and Simulation
    • Q17 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agriculture in International Trade

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