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International Cross Section Estimates of Demand for Use in the GTAP Model

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  • Reimer, Jeff
  • Hertel, Thomas

Abstract

The making of projections often requires an economy-wide perspective, and the estimation of consumer demands at the international level. In this paper, an implicit, directly additive demand system (AIDADS) is estimated using cross-country data on consumer expenditures from the International Comparison Program (ICP), and then from Global Trade Analysis Project (GTAP) data. The two data sets are found to produce results that are quite consistent despite their differing origins, and the fact that the former is based on consumer goods that embody wholesale/retail margins, while margin demands are treated separately in GTAP. Given the similarity of the results, the estimation based on GTAP data is favored because it is readily matched to input-output based production and trade data, and provides valuable new information concerning how aggregate margin expenditures are related to per capita income.

Suggested Citation

  • Reimer, Jeff & Hertel, Thomas, 2003. "International Cross Section Estimates of Demand for Use in the GTAP Model," GTAP Working Papers 1190, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University.
  • Handle: RePEc:gta:workpp:1190
    Note: GTAP Working Paper No. 22
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    References listed on IDEAS

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    1. Nin Pratt, Alejandro & Diao, Xinshen, 2006. "High value products or staple crops? A discussion on development strategies for Southern Africa," 2006 Annual meeting, July 23-26, Long Beach, CA 21094, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Timo Baas & Silvia Maja Melzer, 2012. "The Macroeconomic Impact of Remittances: A sending country perspective," Norface Discussion Paper Series 2012021, Norface Research Programme on Migration, Department of Economics, University College London.
    3. Kym Anderson & Ernesto Valenzuela & Lee Ann Jackson, 2008. "Recent and Prospective Adoption of Genetically Modified Cotton: A Global Computable General Equilibrium Analysis of Economic Impacts," Economic Development and Cultural Change, University of Chicago Press, vol. 56(2), pages 265-296, January.
    4. Diao, Xinshen & Dorosh, Paul A. & Rahman, Shaikh Mahfuzur, 2007. "Market opportunities for African agriculture: A General Equilibrium examination of demand-side constraints on agricultural growth in East and Southern Africa," Research reports 154, International Food Policy Research Institute (IFPRI).
    5. Ferri, Javier & Moltó, María Luisa & Uriel, Ezequiel, 2005. "Time Use, Computable General Equilibrium and Tax Policy Analysis," Conference papers 331322, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    6. 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.
    7. Olivier Durand-Lasserve & Lorenza Campagnolo & Jean Chateau & Rob Dellink, 2015. "Modelling of distributional impacts of energy subsidy reforms: an illustration with Indonesia," OECD Environment Working Papers 86, OECD Publishing.
    8. Angel Aguiar & Badri Narayanan & Robert McDougall, 2016. "An Overview of the GTAP 9 Data Base," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 1(1), pages 181-208, June.
    9. Gehlhar, Mark J. & Dohlman, Erik, 2006. "Macroeconomic and Global Growth Influences on the U.S. Agricultural Trade Balance," 2006 Annual meeting, July 23-26, Long Beach, CA 21324, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    10. Carmen Fillat & Joseph Francois, 2004. "National and international income dispersion and aggregate expenditures," Documentos de Trabajo dt2004-06, Facultad de Ciencias Económicas y Empresariales, Universidad de Zaragoza.
    11. 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.
    12. Sangeeta Khorana & Badri G. Narayanan, 2017. "Modelling Effects of Tariff Liberalisation on India’s Key Export Sectors: Analysis of the EU–India Free Trade Agreement," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 11(1), pages 1-22, February.
    13. repec:hal:journl:dumas-00905755 is not listed on IDEAS
    14. Muhammad, Andrew & Meade, Birgit Gisela Saager, 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.
    15. Sonmez, Yontem & McDonald, Scott & Perraton, Jonathan, 2007. "Turkey and Its Preferential Trade Agreements (PTAs)," Conference papers 331594, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    16. Kilian Kuhla & Sven Norman Willner & Christian Otto & Leonie Wenz & Anders Levermann, 2021. "Future heat stress to reduce people’s purchasing power," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-17, June.
    17. Nin Pratt, Alejandro & Diao, Xinshen, 2008. "Exploring Growth Linkages and Market Opportunities for Agriculture in Southern Africa," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 23, pages 104-137.
    18. Kym Anderson & Ernesto Valenzuela & Lee Ann Jackson, 2007. "Recent and Prospective Adoption of Genetically Modified Cotton: A Global CGE Analysis of Economic Impacts," Centre for International Economic Studies Working Papers 2007-07, University of Adelaide, Centre for International Economic Studies.

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