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Linking CGE and Microsimulation Models: A Comparison of Different Approaches

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  • Colombo, Giulia
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    Abstract

    In the paper we describe in detail how to build linked CGE-microsimulation models (using fictitious data) following three main approaches: one in accordance with the fully integrated approach and the other two according to the layered approach – the so-called Top-Down and Top-Down/Bottom-Up approaches. After this, we implement the same policy reform in each of the three models. Results show that all three approaches yield different results especially in terms of income distribution and poverty, although analysed within the same economy and under the same policy simulation. We then analyse in more detail the TD/BU approach as developed by Savard (2003) and, in order to avoid possible deviations due to data inconsistencies, we propose an alternative way of taking into account feedback effects from the micro level of analysis into the CGE model. --

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    Bibliographic Info

    Paper provided by ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research in its series ZEW Discussion Papers with number 08-054.

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    Date of creation: 2008
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    Handle: RePEc:zbw:zewdip:7377

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    Keywords: CGE models; microsimulation; income distribution;

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    1. 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.
    2. Shoven, John B & Whalley, John, 1984. "Applied General-Equilibrium Models of Taxation and International Trade: An Introduction and Survey," Journal of Economic Literature, American Economic Association, vol. 22(3), pages 1007-51, September.
    3. 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.
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    7. Francisco Ferreira & Julie Litchfield, 2001. "Education or Inflation? The Micro and Macroeconomics of the Brazilian Income Distribution During 1981-1995," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 38(114), pages 209-238.
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    9. Denis Cogneau, 2001. "Formation du revenu, segmentation et discrimination sur le marché du travail d'une ville en développement : Antananarivo fin de siècle," Working Papers DT/2001/18, DIAL (Développement, Institutions et Mondialisation).
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    12. Davies, James B., 2004. "Microsimulation, CGE and Macro Modelling for Transition and Developing Economies," Working Paper Series UNU-WIDER Research Paper , World Institute for Development Economic Research (UNU-WIDER).
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    18. Robilliard, Anne-Sophie & Robinson, Sherman, 1999. "Reconciling household surveys and national accounts data using a cross entropy estimation method:," TMD discussion papers 50, International Food Policy Research Institute (IFPRI).
    19. Riccardo Magnani & Jean Mercenier, 2007. "On linking microsimulation and applied GE by exact aggregation of heterogeneous discrete-choice making agents," THEMA Working Papers 2007-06, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    20. Arntz, Melanie & Boeters, Stefan & Gürtzgen, Nicole & Schubert, Stefanie, 2008. "Analysing welfare reform in a microsimulation-AGE model: The value of disaggregation," Economic Modelling, Elsevier, vol. 25(3), pages 422-439, May.
    21. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 31(3), pages 129-137.
    22. François Bourguignon & Maurizio Bussolo & Luiz A. Pereira da Silva, 2008. "The Impact of Macroeconomic Policies on Poverty and Income Distribution : Macro-Micro Evaluation Techniques and Tools," World Bank Publications, The World Bank, number 6586, October.
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    Cited by:
    1. Rana HENDY & Chahir ZAKI, 2009. "“Rethinking the Redistribution Effects of Trade Liberalization in Egypt : A Microsimulation Analysis”," Working Papers 2009-23, Centre de Recherche en Economie et Statistique.

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