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Using an Almost Ideal Demand System in a Macro-Micro Modelling Context to Analyse Poverty and Inequalities

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  • Luc Savard

    (Professeur, GREDI, Département d’économique, Faculté d’administration, Université de Sherbrooke, Sherbrooke, Québec, Canada)

Abstract

In this paper, we explore the contribution of introducing a flexible form for household consumption in a macro-micro modelling context for poverty and income distribution analysis. The almost ideal demand system exhibits interesting features allowing for the introduction of inter-household heterogeneity in a rigorous fashion. In order to illustrate the contribution of the AIDS system in the macro-micro modelling context, we perform a comparative analysis with an equivalent model using a LES demand system and a CGE with representative households including an AIDS. Results show the strong contribution of using an almost ideal demand system in a microsimulation context and its value added versus a linear expenditure system to analyse poverty and income distribution changes following a policy simulation.

Suggested Citation

  • Luc Savard, 2010. "Using an Almost Ideal Demand System in a Macro-Micro Modelling Context to Analyse Poverty and Inequalities," Cahiers de recherche 10-04, Departement d'économique de l'École de gestion à l'Université de Sherbrooke.
    • Handle: RePEc:shr:wpaper:10-04
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    File URL: http://gredi.recherche.usherbrooke.ca/wpapers/GREDI-1004.pdf
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    References listed on IDEAS

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    2. André Decoster & Frederic Vermeulen, "undated". "Evaluation of the Empirical Performance of Two-Stage Budgeting AIDS, QUAIDS and Rotterdam Models Based on Weak Separability," Working Papers of Department of Economics, Leuven ces9807, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
    3. Decoster, Andre & Schokkaert, Erik, 1990. "Tax reform results with different demand systems," Journal of Public Economics, Elsevier, vol. 41(3), pages 277-296, April.
    4. Pashardes, Panos, 1993. "Bias in Estimating the Almost Ideal Demand System with the Stone Index Approximation," Economic Journal, Royal Economic Society, vol. 103(419), pages 908-915, July.
    5. Luc Savard, 2003. "Poverty and Income Distribution in a CGE-Household Micro-Simulation Model: Top-Down/Bottom Up Approach," Cahiers de recherche 0343, CIRPEE.
    6. Burfisher, Mary E. & Robinson, Sherman & Thierfelder, Karen, 2000. "Small countries and the case for regionalism vs. multilateralism," TMD discussion papers 54, International Food Policy Research Institute (IFPRI).
    7. François Bourguignon & Anne-Sophie Robilliard & Sherman Robinson, 2003. "Representative versus real households in the macro-economic modeling of inequality," Working Papers DT/2003/10, DIAL (Développement, Institutions et Mondialisation).
    8. Maurizio Bussolo & Jann Lay, 2003. "Globalisation and Poverty Changes in Colombia," OECD Development Centre Working Papers 226, OECD Publishing.
    9. Luc Savard, 2004. "Poverty and Inequality Analysis within a CGE Framework: a Comparative Analysis of the Representative Agent and Micro-Simulation Approaches," Cahiers de recherche 0412, CIRPEE.
    10. Nichele, Veronique & Robin, Jean-Marc, 1995. "Simulation of indirect tax reforms using pooled micro and macro French data," Journal of Public Economics, Elsevier, vol. 56(2), pages 225-244, February.
    11. Mitton,Lavinia & Sutherland,Holly & Weeks,Melvyn (ed.), 2000. "Microsimulation Modelling for Policy Analysis," Cambridge Books, Cambridge University Press, number 9780521790062.
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    Cited by:

    1. Mun Ho & Wolfgang Britz & Ruth Delzeit & Florian Leblanc & Roberto Roson & Franziska Schuenemann & Matthias Weitzel, 2020. "Modelling Consumption and Constructing Long-Term Baselines in Final Demand," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 5(1), pages 63-108, June.
    2. Bouët, Antoine & Femenia, Fabienne & Laborde, David, 2014. "On the role of demand systems in CGE simulations of trade reforms," Conference papers 332443, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    3. Hu, Wenhao & Ho, Mun S. & Cao, Jing, 2019. "Energy consumption of urban households in China," China Economic Review, Elsevier, vol. 58(C).
    4. Laura Atuesta & Geoffrey J.D. Hewings, 2013. "Economic Welfare Analysis Of The Legalization Of Drugs: A Cge Microsimulation Model For Colombia," Economic Systems Research, Taylor & Francis Journals, vol. 25(2), pages 190-211, March.

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    More about this item

    Keywords

    Computable General Equilibrium Models; Estimation; Personal Income and Wealth Distribution; Measurement and Analysis of Poverty;
    All these keywords.

    JEL classification:

    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models

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