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Cross-Price Elasticities of Demand Across 114 Countries

Author

Listed:
  • Regmi, Anita
  • Seale, James L., Jr.
Abstract
This report presents a simple methodology for calculating cross-price elasticities across countries, using the Frisch own-price elasticity. Cross-price elasticities are calculated for 9 major consumption categories from the 1996 International Comparison Program data across 114 countries. The consumption categories are: food, beverage, and tobacco; clothing and footwear; education; gross rent, fuel, and power; house furnishings and operations; medical care; recreation; transport and communications; and “other” items. Additionally, cross-price elasticities are calculated and reported for a two-good demand system of food and nonfood. The elasticity estimates from this report are the only available consistent cross-country cross-price elasticity estimates across such a large number of countries and consumption categories.

Suggested Citation

  • 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.
  • Handle: RePEc:ags:uerstb:59870
    DOI: 10.22004/ag.econ.59870
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    References listed on IDEAS

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    Cited by:

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    2. 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.
    3. Chitiga, Margaret & Fofana, Ismael & Mabugu, Ramos, 2011. "A multiregion general equilibrium analysis of fiscal consolidation in South Africa:," IFPRI discussion papers 1110, International Food Policy Research Institute (IFPRI).
    4. Jean-Yves Duclos & Paul Makdissi & Abdelkrim Araar, 2014. "Pro-poor indirect tax reforms, with an application to Mexico," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 21(1), pages 87-118, February.
    5. Meade, Birgit & Muhammad , Andrew, 2017. "The Influence of Income and Prices on Global Dietary Patterns by Country, Age, and Gender," Amber Waves:The Economics of Food, Farming, Natural Resources, and Rural America, United States Department of Agriculture, Economic Research Service, issue 10, November.
    6. Brian J. Revell, 2015. "One Man's Meat … 2050? Ruminations on Future Meat Demand in the Context of Global Warming," Journal of Agricultural Economics, Wiley Blackwell, vol. 66(3), pages 573-614, September.
    7. Fahd Rehman, 2020. "Optimism and pessimism: A cross‐country comparison," The World Economy, Wiley Blackwell, vol. 43(11), pages 3025-3038, November.
    8. Christian Glocker & Matteo Iacopini & Tam'as Krisztin & Philipp Piribauer, 2023. "A Bayesian Markov-switching SAR model for time-varying cross-price spillovers," Papers 2310.19557, arXiv.org.
    9. Clements, Kenneth W. & Gao, Grace, 2015. "The Rotterdam demand model half a century on," Economic Modelling, Elsevier, vol. 49(C), pages 91-103.
    10. Jason Henderson, 2011. "Building U.S. agricultural exports: one BRIC at a time," Economic Review, Federal Reserve Bank of Kansas City, vol. 96(Q I).
    11. Lal Almas & Mehreen Zaid Ullah & Hina Fatima & Lal K. Almas & Mallory K. Vesta & Nasim Akhter, 2017. "Estimating Demand Elasticities for Aggregate Food Groups using QUAIDS and Pooled HIES Data," EcoMod2017 10541, EcoMod.
    12. Zhang, Yaxin & Shan, Yuli & Zheng, Xinzhu & Wang, Can & Guan, Yuru & Yan, Jin & Ruzzenenti, Franco & Hubacek, Klaus, 2023. "Energy price shocks induced by the Russia-Ukraine conflict jeopardize wellbeing," Energy Policy, Elsevier, vol. 182(C).
    13. Saari, M. Yusof & Dietzenbacher, Erik & Los, Bart, 2016. "The impacts of petroleum price fluctuations on income distribution across ethnic groups in Malaysia," Ecological Economics, Elsevier, vol. 130(C), pages 25-36.

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    Demand and Price Analysis; International Development; International Relations/Trade;
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