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Integrated Computable General Equilibrium (CGE) microsimulation approach

Author

Listed:
  • John Cockburn

    (Poverty and Economic Policy (PEP) research network and Université Laval, Canada;)

  • Erwin Corong

    (Centre of Policy Studies, Monash University, Australia;)

  • Caesar Cororaton

    (Global Issues Initiative, Virginia Polytechnic University, USA;)

Abstract

Conventionally, the analysis of macro-economic shocks and the analysis of income distribution and poverty require very different methodological techniques and sources of data. Over the last decade however, the natural divide between both approaches has diminished, as evaluating the impact of macro-economic shocks on poverty and income distribution within a CGE framework complemented by household survey data has flourished. This paper focuses on explicitly integrating into a CGE model each household from a nationally representative household survey. The aim of this paper is threefold. First, we show that explicitly modelling each household in the CGE model addresses Kirmans critique (1992) and overcomes the strong micro-economic assumption of representative agent. Second, we respond, albeit in a simple way, to the recommendation of Bourguignon and Perreira (2003) to integrate ? real? households within a CGE framework rather than using representative households. Third, by providing applications to Nepal and the Philippines, we demonstrate that this technique is straightforward to implement and requires only a standard CGE model and a nationally representative household survey with information on household income and consumption.

Suggested Citation

  • 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.
  • Handle: RePEc:ijm:journl:v:3:y:2010:i:1:p:60-71
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    File URL: http://ima.natsem.canberra.edu.au/IJM/V3_1/IJM_29.pdf
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    References listed on IDEAS

    as
    1. 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.
    2. 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, December.
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    Cited by:

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    2. 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.
    3. Andrew Feltenstein & Luciana Lopes & Janet Porras Mendoza & Sally Wallace, 2013. "“The Impact of Micro-simulation and CGE modeling on Tax Reform and Tax Advice in Developing Countries”: A Survey of Alternative Approaches and an Application to Pakistan," International Center for Public Policy Working Paper Series, at AYSPS, GSU paper1309, International Center for Public Policy, Andrew Young School of Policy Studies, Georgia State University.
    4. 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.
    5. Oleksandra Betliy & Veronika Movchan & Mykola Pugachov, 2013. "Poverty and social impact analysis of increased natural gas prices and selected social guarantees in Ukraine," Working Papers PMMA 2013-12, PEP-PMMA.
    6. Betliy, Oleksandra & Movchan, Veronika & Pugachov, Mykola, 2013. "Poverty and Social Impact Analysis of Increased Natural Gas Prices and Selected Social Guarantees in Ukraine," PEP Working Papers 160422, Partnership for Economic Policy (PEP).
    7. Debowicz, Dario & Golan, Jennifer, 2012. "The impact of Oportunidades on human capital and income distribution: a top-down/bottom-up approach," Conference papers 330252, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    8. Marc Jim Mariano & George Verikios, 2022. "Understanding the Effects of Coronavirus on Australian Households: A Macro–Micro Analysis," Economic Papers, The Economic Society of Australia, vol. 41(3), pages 215-231, September.
    9. Julius Mukarati & Itumeleng P. Mongale & Godswill Makombe, 2020. "Land redistribution and the South African economy," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 66(1), pages 46-54.
    10. 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.
    11. Bhattarai, Keshab & Bachman, Paul & Conte, Frank & Haughton, Jonathan & Head, Michael & Tuerck, David G., 2018. "Tax plan debates in the US presidential election: A dynamic CGE analysis of growth and redistribution trade-offs," Economic Modelling, Elsevier, vol. 68(C), pages 529-542.
    12. 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.
    13. Zhang, Yumei & Wang, Xinxin & Chen, Kevin, 2012. "Growth and Distributive Effects of Public Infrastructure Investments in China," Conference papers 332234, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    14. Jacopo Zotti & Rosita Pretaroli & Francesca Severini & Claudio Socci & Giancarlo Infantino, 2020. "Employment incentives and the disaggregated impact on the economy. The Italian case," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 37(3), pages 993-1032, October.
    15. Emini, Christian Arnault, 2020. "Impacts of the 2014-16 drop in oil prices on child poverty in Chad and options for a policy response: Analysis using a recursive dynamic CGE model with fully integrated microsimulations," Conference papers 333220, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    16. Acharya, Sanjaya & Hölscher, Jens & Perugini, Cristiano, 2012. "Trade liberalisation and inequalities in Nepal: A CGE analysis," Economic Modelling, Elsevier, vol. 29(6), pages 2543-2557.

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