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A Micro-Macro Model for South Africa: Building and Linking a Microsimulation Model to a CGE Model


  • Nicolas Hérault

    (Centre d'Économie du Développement (IFReDE-GRES) Université Montesquieu Bordeaux IV and Melbourne Institute of Applied Economic and Social Research, The University of Melbourne)


This paper describes a newly-built micro-macro model for South Africa. A computable general equilibrium (CGE) model and a microsimulation (MS) model are combined in a sequential approach in order to build an effective tool to assess the effects of various macroeconomic policies and shocks on South African households. The CGE model is used to simulate the macro-changes in the structure of the economy after the policy change or the macro-shock. In a second step, these changes are passed on to the MS model. Micro-macro consistency equations, along with the direct transmission of prices, ensure that macro-changes are fully transmitted from the CGE to the MS model. Given any change in the macroeconomic structure of the economy predicted by the CGE model, the MS model predicts how individual agents modify their behaviours and how their incomes are affected, while accounting for individual heterogeneity.

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  • Nicolas Hérault, 2005. "A Micro-Macro Model for South Africa: Building and Linking a Microsimulation Model to a CGE Model," Melbourne Institute Working Paper Series wp2005n16, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
  • Handle: RePEc:iae:iaewps:wp2005n16

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    References listed on IDEAS

    1. John Whalley, 2008. "Globalisation and Values," The World Economy, Wiley Blackwell, vol. 31(11), pages 1503-1524, November.
    2. John Cockburn, 2002. "Trade Liberalisation and Poverty in Nepal: A Computable General Equilibrium Micro Simulation Analysis," CSAE Working Paper Series 2002-11, Centre for the Study of African Economies, University of Oxford.
    3. By Gunnar Jonsson & Arvind Subramanian, 2001. "Dynamic Gains from Trade: Evidence from South Africa," IMF Staff Papers, Palgrave Macmillan, vol. 48(1), pages 1-8.
    4. Thurlow, James & van Seventer, Dirk Ernst, 2002. "A standard computable general equilibrium model for South Africa," TMD discussion papers 100, International Food Policy Research Institute (IFPRI).
    5. Decaluwé, Bernard & Dumont, Jean-Christophe & Savard, Luc, 2000. "Measuring Poverty and Inequality in a Computable General Equilibrium Model," Cahiers de recherche 9926, Université Laval - Département d'économique.
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    7. A. K. Sen, 1963. "Neo‐Classical And Neo‐Keynbsian Theories Of Distribution," The Economic Record, The Economic Society of Australia, vol. 39(85), pages 53-64, March.
    8. Cathal O'Donoghue, 2001. "Introduction to the Special Issue on Dynamic Microsimulation Modelling," Brazilian Electronic Journal of Economics, Department of Economics, Universidade Federal de Pernambuco, vol. 4(2), December.
    9. Zafar Iqbal & Rizwana Siddiqui, 2001. "Critical Review of Literature on Computable General Equilibrium Models," MIMAP Technical Paper Series 2001:09, Pakistan Institute of Development Economics.
    10. Servaas Van Der Berg & Megan Louw, 2004. "Changing Patterns Of South African Income Distribution: Towards Time Series Estimates Of Distribution And Poverty," South African Journal of Economics, Economic Society of South Africa, vol. 72(3), pages 546-572, September.
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    Cited by:

    1. Nicolas Hérault, 2005. "Trade Liberalisation, Poverty and Inequality in South Africa: A CGE-Microsimulation Analysis," Melbourne Institute Working Paper Series wp2005n17, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    2. Gemma Wright & Michael Noble & Helen Barnes & David McLennan & Michell Mpike, 2016. "SAMOD, a South African tax-benefit microsimulation model Recent developments," WIDER Working Paper Series 115, World Institute for Development Economic Research (UNU-WIDER).

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