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Linking CGE and Microsimulation Models: A Comparison of Different Approaches

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  • 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.

Suggested Citation

  • Colombo, Giulia, 2008. "Linking CGE and Microsimulation Models: A Comparison of Different Approaches," ZEW Discussion Papers 08-054, ZEW - Leibniz Centre for European Economic Research.
    • Handle: RePEc:zbw:zewdip:7377
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    References listed on IDEAS

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    Cited by:

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    2. Rana HENDY & Chahir ZAKI, 2009. "Rethinking the Redistribution Effects of Trade Liberalization in Egypt : A Microsimulation Analysis," Working Papers 2009-23, Center for Research in Economics and Statistics.
    3. Rana Hendy & Chahir Zaki, 2013. "Assessing the Effects of Trade Liberalization on Wage Inequalities in Egypt: A Microsimulation Analysis," The International Trade Journal, Taylor & Francis Journals, vol. 27(1), pages 63-104, March.
    4. Daniel Abraham Mengistu, 2014. "The Impact of Fiscal Policy on Poverty in Ethiopia: a Computable General Equilibrium Microsimulation Analysis," Ethiopian Journal of Economics, Ethiopian Economics Association, vol. 22(1), November.
    5. Korovin, Vladimir & Boysen-Urban, Kirsten & Boysen, Ole & Brockmeier, Martina, 2017. "Global food supply meets global food demand: Should we bother about the household distribution in global CGE models?," Conference papers 332853, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    6. Holger Bonin & Karsten Reuss & Holger Stichnoth, 2016. "The Monetary Value of Family Policy Measures in Germany over the Life Cycle: Evidence from a Dynamic Microsimulation Model," CESifo Economic Studies, CESifo Group, vol. 62(4), pages 650-671.
    7. Jinjing Li & Cathal O'Donoghue, 2013. "A survey of dynamic microsimulation models: uses, model structure and methodology," International Journal of Microsimulation, International Microsimulation Association, vol. 6(2), pages 3-55.

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    More about this item

    Keywords

    CGE models; microsimulation; income distribution;
    All these keywords.

    JEL classification:

    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - 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; Discrete Regressors; Proportions
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General

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