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Calibrating the Modified An Implicitly Directly Additive Demand System (MAIDADS) for Applied Economic Modeling

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  • Itakura, Ken
  • van der Mensbrugghe, Dominique

Abstract

The main objective of this paper is to make a good use of the recent study that modified the AIDADS (An Implicitly Directly Additive Demand System). The modified AIDADS (MAIDADS) is able to capture varying consumer behaviors across different expenditure levels and also allows minimum consumption quantities to change as utility varies. These features would attract attention from researchers conducting applied economic analysis which involves consumers at wide range of expenditure levels; consumers at developing and developed countries, households at different income levels, and evolution of expenditure patterns over the long-run simulated often under CGE models, e.g. for 50 or 100 years from the benchmark year. The parameters in the MAIDADS are estimated with the 2005 International Comparison Program dataset, and we obtained elasticities as well as the minimum consumption quantities for 147 countries and 12 expenditure categories. With these estimation results, the MAIDADS can be incorporated into applied economic models.

Suggested Citation

  • Itakura, Ken & van der Mensbrugghe, Dominique, 2011. "Calibrating the Modified An Implicitly Directly Additive Demand System (MAIDADS) for Applied Economic Modeling," Conference papers 332140, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    • Handle: RePEc:ags:pugtwp:332140
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    1. Mr. Robert Gillingham & David Locke Newhouse & Mr. David Coady & Mr. Kangni R Kpodar & Moataz El-Said & Mr. Paulo A Medas, 2006. "The Magnitude and Distribution of Fuel Subsidies: Evidence from Bolivia, Ghana, Jordan, Mali, and Sri Lanka," IMF Working Papers 2006/247, International Monetary Fund.
    2. Zheng, Buhong, 1997. "Aggregate Poverty Measures," Journal of Economic Surveys, Wiley Blackwell, vol. 11(2), pages 123-162, June.
    3. Hertel, Thomas, 1997. "Global Trade Analysis: Modeling and applications," GTAP Books, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, number 7685, December.
    4. Buhong Zheng, 1997. "Aggregate Poverty Measures," Journal of Economic Surveys, Wiley Blackwell, vol. 11(2), pages 123-162, June.
    5. Sen, Amartya K, 1976. "Poverty: An Ordinal Approach to Measurement," Econometrica, Econometric Society, vol. 44(2), pages 219-231, March.
    6. Decaluwe, B. & Patry, A. & Savard, L. & Thorbecke, E., 1999. "Poverty Analysis Within a General Equilibrium Framework," Cahiers de recherche 9909, Université Laval - Département d'économique.
    7. Bandara, Jayatilleke S, 1991. "Computable General Equilibrium Models for Development Policy Analysis in LDCs," Journal of Economic Surveys, Wiley Blackwell, vol. 5(1), pages 3-69.
    8. J. Mark Horridge & Brian R. Parmenter & Martin Cameron & Riaan Joubert & Areef Suleman & Dawie de Jongh, 1995. "The Macroeconomic, Industrial, Distributional and Regional Effects of Government Spending Programs in South Africa," Centre of Policy Studies/IMPACT Centre Working Papers g-109, Victoria University, Centre of Policy Studies/IMPACT Centre.
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