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Linking CGE and Microsimulation Models: A Comparison of Different Approaches

  • Colombo, Giulia
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    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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    File URL: http://econstor.eu/bitstream/10419/24750/1/dp08054.pdf
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    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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    1. John Creedy & Guyonne Kalb & Rosanna Scutella, 2003. "Discrete Hours Labour Supply Modelling: Specification, Estimation and Simulation," Melbourne Institute Working Paper Series wp2003n21, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    2. John Cockburn, 2002. "Trade Liberalisation and Poverty in Nepal A Computable General Equilibrium Micro Simulation Analysis," Economics Series Working Papers WPS/2002-11, University of Oxford, Department of Economics.
    3. 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.
    4. Decaluwe, B. & Patry, A. & Savard, L. & Thorbecke, E., 1999. "Poverty Analysis Within a General Equilibrium Framework," Papers 9909, Laval - Recherche en Politique Economique.
    5. Anne-Sophie Robilliard & Sherman Robinson, 2003. "Reconciling Household Surveys and National Accounts Data Using a Cross Entropy Estimation Method," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 49(3), pages 395-406, 09.
    6. Sherman Robinson & Andrea Cattaneo & Moataz El-Said, 2001. "Updating and Estimating a Social Accounting Matrix Using Cross Entropy Methods," Economic Systems Research, Taylor & Francis Journals, vol. 13(1), pages 47-64.
    7. 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.
    8. Maurizio Bussolo & Jann Lay, 2003. "Globalisation and Poverty Changes in Colombia," OECD Development Centre Working Papers 226, OECD Publishing.
    9. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 31(3), pages 129-137.
    10. 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.
    11. Caesar B. Cororaton & John Cockburn, 2005. "Trade Reform and Poverty in the Philippines: a Computable General Equilibrium Microsimulation Analysis," Cahiers de recherche 0513, CIRPEE.
    12. 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.
    13. Cogneau, Denis & Robilliard, Anne-Sophie, 2000. "Growth, distribution and poverty in Madagascar," TMD discussion papers 61, International Food Policy Research Institute (IFPRI).
    14. repec:cup:cbooks:9780521266550 is not listed on IDEAS
    15. 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).
    16. Luc Savard, 2003. "Poverty and Income Distribution in a CGE-Household Micro-Simulation Model: Top-Down/Bottom Up Approach," Cahiers de recherche 0343, CIRPEE.
    17. Cogneau, Denis, 2001. "Formation du revenu, segmentation et discrimination sur le marché du travail d’une ville en développement : Antananarivo fin de siècle," Economics Papers from University Paris Dauphine 123456789/4584, Paris Dauphine University.
    18. James J. Heckman, 1976. "The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 475-492 National Bureau of Economic Research, Inc.
    19. 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.
    20. Luc Savard, 2005. "Poverty and Inequality Analysis within a CGE Framework: A Comparative Analysis of the Representative Agent and Microsimulation Approaches," Development Policy Review, Overseas Development Institute, vol. 23(3), pages 313-331, 05.
    21. Atkinson, Anthony B., 1970. "On the measurement of inequality," Journal of Economic Theory, Elsevier, vol. 2(3), pages 244-263, September.
    22. Foster, James & Greer, Joel & Thorbecke, Erik, 1984. "A Class of Decomposable Poverty Measures," Econometrica, Econometric Society, vol. 52(3), pages 761-66, May.
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