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Sequential linking of Computable General Equilibrium and microsimulation models: a comparison of behavioural and reweighting techniques

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  • Nicolas Hérault

    () (Melbourne Institute of Applied Economic and Social Research, The University of Melbourne, Australia)

Abstract

Several approaches have recently been developed to combine a computable general equilibrium model (CGE) and a microsimulation (MS) model. These so-called CGE-MS models enjoy a growing interest because they build a bridge between macro- and microeconomic analyses. This paper focuses on the „top-down? approach. In this context, the CGE model is used to simulate the changes at the macroeconomic level after the policy change, which are then passed on to the MS model. The aim of this paper is to compare the „top-down? approach introduced by Bourguignon et al. (2003) based on a behavioural MS model with an alternative and simpler approach making use of a non-behavioural MS model in combination with a reweighting procedure. Both approaches are presented and applications are provided using South African data. We compare the results obtained with both approaches for a typical simulation of the impact of trade liberalisation on income distribution. The reweighting approach introduces a small bias in the results, however without modifying the main conclusions. This is an indication that, given its relative simplicity compared to the behavioural approach, the reweighting approach can constitute a good alternative when data or time constraints do not allow the use of the behavioural approach and when the interest does not lie in the production of individual-level transition matrices.

Suggested Citation

  • Nicolas Hérault, 2010. "Sequential linking of Computable General Equilibrium and microsimulation models: a comparison of behavioural and reweighting techniques," International Journal of Microsimulation, International Microsimulation Association, vol. 3(1), pages 35-42.
  • Handle: RePEc:ijm:journl:v:3:y:2010:i:1:p:35-42
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    File URL: http://ima.natsem.canberra.edu.au/IJM/V3_1/IJM_27.pdf
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    References listed on IDEAS

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    1. Lixin Cai & John Creedy & Guyonne Kalb, 2006. "Accounting For Population Ageing In Tax Microsimulation Modelling By Survey Reweighting ," Australian Economic Papers, Wiley Blackwell, vol. 45(1), pages 18-37, March.
    2. Filho, Joaquim Bento de Souza Ferreira & Horridge, Mark, 2005. "The Doha Round, poverty, and regional inequality in Brazil," Policy Research Working Paper Series 3701, The World Bank.
    3. François Bourguignon & Anne-Sophie Robilliard & Sherman Robinson, 2003. "Representative versus real households in the macro-economic modeling of inequality," Working Papers DT/2003/10, DIAL (Développement, Institutions et Mondialisation).
    4. Bussolo, Maurizio & Lay, Jann & van der Mensbrugghe, Dominique, 2006. "Structural change and poverty reduction in Brazil : the impact of the Doha Round," Policy Research Working Paper Series 3833, The World Bank.
    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.
    6. BUSSOLO Maurizio & LAY Jann, "undated". "Globalization and Poverty Changes in Colombia," EcoMod2003 330700029, EcoMod.
    7. John Creedy & Alan S. Duncan & Mark Harris & Rosanna Scutella, 2002. "Microsimulation Modelling of Taxation and the Labour Market," Books, Edward Elgar Publishing, number 2796.
    8. Nicolas Herault, 2007. "Trade Liberalisation, Poverty and Inequality in South Africa: A Computable General Equilibrium-Microsimulation Analysis," The Economic Record, The Economic Society of Australia, vol. 83(262), pages 317-328, September.
    9. Jean-Yves Duclos & Luc Savard, 2004. "Introduction," Revue d’économie du développement, De Boeck Université, vol. 12(2), pages 5-8.
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    Citations

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    Cited by:

    1. Maheshwar Rao & Robert Tanton & Yogi Vidyattama, 2013. "‘A Systems Approach to Analyse the Impacts of Water Policy Reform in the Murray-Darling Basin: a conceptual and an analytical framework’," NATSEM Working Paper Series 13/22, University of Canberra, National Centre for Social and Economic Modelling.
    2. Olivier Bargain & Herwig Immervoll & Andreas Peichl & Sebastian Siegloch, 2011. "Distributional Consequences of Labor-demand Shocks: The 2008-09 Recession in Germany," CESifo Working Paper Series 3403, CESifo Group Munich.
    3. Bargain, O. & Herwig Immervoll & Andreas Peichl & Siegloch, S., 2010. "GINI DP 1: Distributional Consequences of Labor-Demand Adjustments to a Downturn. A Model-Based Approach with Application to Germany 2008-09," GINI Discussion Papers 1, AIAS, Amsterdam Institute for Advanced Labour Studies.
    4. Vandyck, Toon & Van Regemorter, Denise, 2014. "Distributional and regional economic impact of energy taxes in Belgium," Energy Policy, Elsevier, vol. 72(C), pages 190-203.
    5. Debowicz, Darío, 2016. "Does the microsimulation approach used in macro–micro modelling matter? An application to the distributional effects of capital outflows during Argentina's Currency Board regime," Economic Modelling, Elsevier, vol. 54(C), pages 591-599.
    6. Heindl, Peter & Löschel, Andreas, 2015. "Social implications of green growth policies from the perspective of energy sector reform and its impact on households," ZEW Discussion Papers 15-012, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
    7. Debowicz, Darío & Golan, Jennifer, 2014. "The impact of Oportunidades on human capital and income distribution in Mexico: A top-down/bottom-up approach," Journal of Policy Modeling, Elsevier, vol. 36(1), pages 24-42.
    8. van Ruijven, Bas J. & O’Neill, Brian C. & Chateau, Jean, 2015. "Methods for including income distribution in global CGE models for long-term climate change research," Energy Economics, Elsevier, vol. 51(C), pages 530-543.
    9. Peichl, Andreas & Siegloch, Sebastian, 2012. "Accounting for labor demand effects in structural labor supply models," Labour Economics, Elsevier, vol. 19(1), pages 129-138.
    10. Binjian, Binjian & Sakamoto, Hiroshi, 2013. "Market Reform and Income Distribution in China : A CGE–Microsimulation Approach," AGI Working Paper Series 2013-13, Asian Growth Research Institute.

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