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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.

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File URL: http://ima.natsem.canberra.edu.au/IJM/V3_1/IJM_27.pdf
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Bibliographic Info

Article provided by Interational Microsimulation Association in its journal International Journal of Microsimulation.

Volume (Year): 3 (2010)
Issue (Month): 1 ()
Pages: 35-42

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Handle: RePEc:ijm:journl:v:3:y:2010:i:1:p:35-42

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Web page: http://ima.natsem.canberra.edu.au/index.htm

Related research

Keywords: computable general equilibrium model; microsimulation; South Africa; income distribution; trade liberalisation;

References

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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, 03.
  2. Maurizio Bussolo & Jann Lay, 2003. "Globalisation and Poverty Changes in Colombia," OECD Development Centre Working Papers 226, OECD Publishing.
  3. François Bourguignon & Anne-Sophie Robilliard & Sherman Robinson, 2003. "Representative versus real households in the macro-economic modeling of inequality," DELTA Working Papers 2003-05, DELTA (Ecole normale supérieure).
  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. 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.
  6. 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, 09.
  7. 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.
  8. Jean-Yves Duclos & Luc Savard, 2004. "Introduction," Revue d’économie du développement, De Boeck Université, vol. 18(2), pages 5-8.
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Cited by:
  1. Peichl, Andreas & Siegloch, Sebastian, 2012. "Accounting for labor demand effects in structural labor supply models," Labour Economics, Elsevier, vol. 19(1), pages 129-138.
  2. repec:ese:emodwp:em12-13 is not listed on IDEAS
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.

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