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Estimation of International Demand Behaviour for Use with Input-Output Based Data

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  • Jeffrey Reimer
  • Thomas Hertel

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 two different sources: the International Comparison Programme (ICP), and the Global Trade Analysis Project (GTAP). 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 favoured for economy-wide projection purposes because it can be readily matched to input-output based production and trade data. An additional benefit of the GTAP-based estimates is that they provide direct evidence concerning how aggregate margin expenditures vary with per capita income.

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Bibliographic Info

Article provided by Taylor & Francis Journals in its journal Economic Systems Research.

Volume (Year): 16 (2004)
Issue (Month): 4 ()
Pages: 347-366

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Handle: RePEc:taf:ecsysr:v:16:y:2004:i:4:p:347-366

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Related research

Keywords: Demand system estimation; input- output data; wholesale retail margins;

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Cited by:
  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. Paul de Boer & Bjarne S. Jensen, 2005. "The Expenditure System of CDES Indirect Utility Functions," DEGIT Conference Papers c010_036, DEGIT, Dynamics, Economic Growth, and International Trade.
  3. Hertel, Thomas & Keeney, Roman & Ivanic, Maros & Winters, Alan, 2006. "Distributional Effects of WTO Agricultural Reforms in Rich and Poor Countries," GTAP Working Papers 2185, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University.
  4. Hertel, Thomas, 2013. "Global Applied General Equilibrium Analysis Using the Global Trade Analysis Project Framework," Handbook of Computable General Equilibrium Modeling, Elsevier.
  5. Leahy, Eimear & Lyons, Seán & Tol, Richard S. J., 2010. "National Determinants of Vegetarianism," Papers WP341, Economic and Social Research Institute (ESRI).
  6. de Boer, P.M.C., 2009. "Modeling household behavior in a CGE model: linear expenditure system or indirect addilog?," Econometric Institute Research Papers EI 2009-16, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  7. de Boer, P.M.C. & Missaglia, M., 2005. "Introducing the indirect addilog system in a computable general equilibrium model: a case study for Palestine," Econometric Institute Research Papers EI 2005-25, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  8. West, Tyler T. & Reimer, Jeffrey J., 2013. "Household and Intersectoral Effects of Reduced SNAP Expenditures: A Computable General Equilibrium Analysis," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150410, Agricultural and Applied Economics Association.
  9. Paul de Boer & Richard Paap, 2009. "Testing non-nested demand relations: linear expenditure system versus indirect addilog," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 63(3), pages 368-384.
  10. 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.
  11. Paul de Boer, 2010. "Modeling Household Behavior in a CGE Model: Linear Expenditure System or Indirect Addilog?," DEGIT Conference Papers c015_059, DEGIT, Dynamics, Economic Growth, and International Trade.

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