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Incorporating household survey data into a CGE model

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  • Zhang, Xiao-Guang

Abstract

Incorporating multiple households in a computable general equilibrium (CGE) model can enhance the capability of conventional CGE models to analyse a wide range of issues, such as income distribution effects and tax-transfer policies. Traditionally, these issues are analysed with microsimulation (MS) models. To capture general equilibrium effects, a two-model approach is sometimes used, which links a MS model with a CGE model. Incorporating a full sample of households from survey data into a CGE framework has been regarded as difficult and costly. So far, only few attempts have been made to produce fully integrated models. In fact, incorporating multiple households into a CGE model is conceptually straightforward. With a simple structured CGE model, a large number of households can be readily incorporated and the integrated model can still be solved efficiently. This paper uses an Australian Household Expenditure Survey (HES) data to describe a simple procedure to integrate an entire sample of households into a CGE framework. The model used is a conventional one, so that the same procedure can be adapted to other CGE models with minimum modifications. The integrated model eliminates three types of errors associated with the two-model approach: aggregation errors due to the single representative household in the CGE model and the multiple households in the integrated model; partial equilibrium errors, due to the lack of feedback from the MS model to the CGE model; and inconsistency errors caused by the differences between the two databases used. The integrated model provides a useful framework to analyse the distributional effects of policy changes on individual households in a general equilibrium framework. It can also be used to analyse detailed tax-transfer policies at the real household level.

Suggested Citation

  • Zhang, Xiao-Guang, 2015. "Incorporating household survey data into a CGE model," Conference papers 332628, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
  • Handle: RePEc:ags:pugtwp:332628
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    References listed on IDEAS

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    1. Decaluwe, B. & Dumont, J.C. & Savard, L., 1999. "Mesurer la pauvrete et les inegalites dans un modele d'equilibre general calculable," Papers 9920, Laval - Recherche en Politique Economique.
    2. Cororaton, Caesar B. & Cockburn, John, 2004. "Trade Reform and Poverty in the Philippines: A Computable General Equilibrium Microsimulation Analysis," Conference papers 331176, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    3. John Cockburn & Erwin Corong & Caesar Cororaton, 2010. "Integrated Computable General Equilibrium (CGE) microsimulation approach," International Journal of Microsimulation, International Microsimulation Association, vol. 3(1), pages 60-71.
    4. 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 - Books, The World Bank Group, number 6586.
    5. John Cockburn & Erwin L. Corong & Caesar B. Cororaton, 2008. "Poverty Effects of the Philippines’ Tariff Reduction Program: Insights from a Computable General Equilibrium Analysis," Asian Economic Journal, East Asian Economic Association, vol. 22(3), pages 289-319, September.
    6. George Verikios & Xiao-guang Zhang, 2008. "Distributional Effects of Changes in Australian Infrastructure Industries during the 1990s," Staff Working Papers 0802, Productivity Commission, Government of Australia.
    7. James B Davies, 2009. "Combining microsimulation with CGE and macro modelling for distributional analysis in developing and transition countries," International Journal of Microsimulation, International Microsimulation Association, vol. 2(1), pages 49-56.
    8. John Cockburn, 2002. "Trade Liberalisation and Poverty in Nepal: A Computable General Equilibrium Micro Simulation Analysis," CSAE Working Paper Series 2002-11, Centre for the Study of African Economies, University of Oxford.
    9. Luc Savard, 2003. "Poverty and Income Distribution in a CGE-Household Micro-Simulation Model: Top-Down/Bottom Up Approach," Cahiers de recherche 0343, CIRPEE.
    10. Cororaton, Caesar B. & Cockburn, John, 2007. "Trade reform and poverty--Lessons from the Philippines: A CGE-microsimulation analysis," Journal of Policy Modeling, Elsevier, vol. 29(1), pages 141-163.
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