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Linking CGE and Microsimulation Models: A Comparison of Different Approaches

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Author Info
Colombo, Giulia
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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Publisher 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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Related research
Keywords: CGE models; microsimulation; income distribution;

Find related papers by JEL classification:
C68 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - Computable General Equilibrium Models
D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models
C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Statistical Simulation Methods

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  1. 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. [Downloadable!]
  2. John Creedy & Guyonne Kalb, 2005. "Discrete Hours Labour Supply Modelling: Specification, Estimation and Simulation," Department of Economics - Working Papers Series 928, The University of Melbourne. [Downloadable!]
    Other versions:
  3. Bondonio, Daniele, 2002. "Evaluating the Employment Impact of Business Incentive Programs in EU Disadvantaged Areas. A case from Northern Italy," P.O.L.I.S. department's Working Papers 27, Department of Public Policy and Public Choice - POLIS. [Downloadable!]
  4. Heckman, James J, 1979. "Sample Selection Bias as a Specification Error," Econometrica, Econometric Society, vol. 47(1), pages 153-61, January. [Downloadable!] (restricted)
  5. Decaluwe, B. & Patry, A. & Savard, L. & Thorbecke, E., 1999. "Poverty Analysis Within a General Equilibrium Framework," Papers 9909, Laval - Recherche en Politique Economique.
    Other versions:
  6. Francisco Ferreira & Julie Litchfield, 2001. "Education or Inflation? The Micro and Macroeconomics of the Brazilian Income Distribution During 1981-1995," Cuadernos de Economía (Latin American Journal of Economics), Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 38(114), pages 209-238. [Downloadable!]
  7. John Cockburn, 2004. "Trade Liberalisation and Poverty in Nepal A Computable General Equilibrium Micro Simulation Analysis," Development and Comp Systems 0409012, EconWPA. [Downloadable!]
  8. 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 120-137 National Bureau of Economic Research, Inc. [Downloadable!]
  9. Arntz, Melanie & Boeters, Stefan & Gürtzgen, Nicole & Schubert, Stefanie, 2006. "Analysing welfare reform in a microsimulation-AGE model : the value of disaggregation," ZEW Discussion Papers 06-76, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research. [Downloadable!]
    Other versions:
  10. Anne-Sophie Robilliard & Sherman Robinson, 2003. "Reconciling Household Surveys and National Accounts Data Using a Cross Entropy Estimation Method," Review of Income and Wealth, Blackwell Publishing, vol. 49(3), pages 395-406, 09. [Downloadable!] (restricted)
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  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. [Downloadable!] (restricted)
  13. Luc Savard, 2003. "Poverty and Income Distribution in a CGE-Household Micro-Simulation Model: Top-Down/Bottom Up Approach," Cahiers de recherche 0343, CIRPEE. [Downloadable!]
  14. Davies, James B., 2004. "Microsimulation, CGE and Macro Modelling for Transition and Developing Economies," Working Papers UNU-WIDER Research Paper , World Institute for Development Economic Research (UNU-WIDER). [Downloadable!]
  15. Sherman Robinson, Andrea Cattaneo, Moataz El-Said, 2001. "Updating and Estimating a Social Accounting Matrix Using Cross Entropy Methods," Economic Systems Research, Taylor and Francis Journals, vol. 13(1), pages 47-64, March. [Downloadable!] (restricted)
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  16. Atkinson, Anthony B., 1970. "On the measurement of inequality," Journal of Economic Theory, Elsevier, vol. 2(3), pages 244-263, September. [Downloadable!] (restricted)
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  18. Dr. Peter Kenning & Hilke Plassmann, 2004. "NeuroEconomics," Experimental 0412005, EconWPA. [Downloadable!]
  19. Cogneau, Denis & Robilliard, Anne-Sophie, 2000. "Growth, distribution and poverty in Madagascar," TMD discussion papers 61, International Food Policy Research Institute (IFPRI). [Downloadable!]
  20. Foster, James & Greer, Joel & Thorbecke, Erik, 1984. "A Class of Decomposable Poverty Measures," Econometrica, Econometric Society, vol. 52(3), pages 761-66, May. [Downloadable!] (restricted)
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