[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/a/cai/ecoldc/ecop_187_0123.html
   My bibliography  Save this article

Les apports de la micro-simulation aux modèles d'équilibre général : application au cas de l'Afrique du Sud

Author

Listed:
  • Nicolas Hérault
Abstract
Following Savard (2004), this paper examines how microsimulation can contribute to general-equilibrium analysis (GEA). Microsimulation modeling can enhance GEA. The author illustrates the combination of the two approaches by applying them in sequence to assess the impact of trade liberalization in South Africa. The conclusion is that computable general-equilibrium models cause bias in income-distribution analyses because of the use of representative household groups rather than individual information. By correcting for this bias, microsimulation techniques can offer additional insights into income distribution.

Suggested Citation

  • Nicolas Hérault, 2009. "Les apports de la micro-simulation aux modèles d'équilibre général : application au cas de l'Afrique du Sud," Economie & Prévision, La Documentation Française, vol. 0(1), pages 123-135.
  • Handle: RePEc:cai:ecoldc:ecop_187_0123
    as

    Download full text from publisher

    File URL: http://www.cairn.info/load_pdf.php?ID_ARTICLE=ECOP_187_0123
    Download Restriction: free

    File URL: http://www.cairn.info/revue-economie-et-prevision-1-2009-1-page-123.htm
    Download Restriction: free
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Anne‐Sophie Robilliard & Sherman Robinson, 2003. "Reconciling Household Surveys and National Accounts Data Using a Cross Entropy Estimation Method," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 49(3), pages 395-406, September.
    2. Thurlow, James & van Seventer, Dirk Ernst, 2002. "A standard computable general equilibrium model for South Africa," TMD discussion papers 100, International Food Policy Research Institute (IFPRI).
    3. Maurizio Bussolo & Jann Lay, 2003. "Globalisation and Poverty Changes in Colombia," OECD Development Centre Working Papers 226, OECD Publishing.
    4. N. Hérault, 2006. "Building And Linking A Microsimulation Model To A Cge Model For South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 74(1), pages 34-58, March.
    5. Luc Savard, 2004. "Poverty and Inequality Analysis within a CGE Framework: a Comparative Analysis of the Representative Agent and Micro-Simulation Approaches," Cahiers de recherche 0412, CIRPEE.
    6. Agenor, Pierre-Richard & Chen, Derek H.C. & Grimm, Michael, 2004. "Linking representative household models with household surveys for poverty analysis : a comparison of alternative methodologies," Policy Research Working Paper Series 3343, The World Bank.
    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 Hérault, 2005. "Trade Liberalisation, Poverty and Inequality in South Africa: A CGE-Microsimulation Analysis," Melbourne Institute Working Paper Series wp2005n17, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    9. N. Anders Klevmarken, 1997. "Behavioral Modeling in Micro Simulation Models. A Survey," Working Paper Series 1997:31, Uppsala University, Department of Economics.
    10. repec:dau:papers:123456789/5124 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nicolas Hérault, 2009. "Sequential Linking of Computable General Equilibrium and Microsimulation Models," Melbourne Institute Working Paper Series wp2009n02, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    2. 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.
    3. Giulia Colombo, 2010. "Linking CGE and microsimulation models: a comparison of different approaches," International Journal of Microsimulation, International Microsimulation Association, vol. 3(1), pages 72-91.
    4. N. Hérault, 2006. "Building And Linking A Microsimulation Model To A Cge Model For South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 74(1), pages 34-58, March.
    5. 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.
    6. 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.
    7. Ole Boysen & Alan Matthews, 2008. "The Impact of Developed Country Agricultural Trade Liberalization on Poverty: A Survey," Working Papers hal-03416399, HAL.
    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. Li, Jinjing & O'Donoghue, Cathal, 2012. "A methodological survey of dynamic microsimulation models," MERIT Working Papers 2012-002, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    10. 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.
    11. 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.
    12. Vaqar Ahmed & Cathal O'Donoghue, 2010. "External Shocks in a Small Open Economy: A CGE - Microsimulation Analysis," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 15(1), pages 45-90, Jan-Jun.
    13. Ahmed, Vaqar & O' Donoghue, Cathal, 2008. "Welfare impact of external balance in pakistan: CGE-microsimulation analysis," MPRA Paper 9267, University Library of Munich, Germany.
    14. Ramos Mabugu & Margaret Chitiga, 2009. "Liberalising Trade In South Africa: A Survey Of Computable General Equilibrium Studies," South African Journal of Economics, Economic Society of South Africa, vol. 77(3), pages 445-464, September.
    15. José M. Labeaga & Miguel Rodríguez & Xavier Labandeira, 2006. "A Macro and Microeconomic Integrated Approach to Assessing the Effects of Public Policies," Working Papers 2006-02, FEDEA.
    16. Bouët, Antoine & Estrades, Carmen & Laborde, David, 2012. "Cooperation vs. non cooperation in the multilateral trading system: the impact on poverty and inequality in developing countries," Conference papers 332287, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    17. Thomas W. Hertel & Jeffrey J. Reimer, 2006. "Predicting the Poverty Impacts of Trade Reform," QA - Rivista dell'Associazione Rossi-Doria, Associazione Rossi Doria, issue 2, May.
    18. Mabugu, Ramos & Chitiga, Margaret, 2009. "Is increased agricultural protection beneficial for South Africa?," Economic Modelling, Elsevier, vol. 26(1), pages 256-265, January.
    19. 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.
    20. Bussolo, Maurizio & Lay, Jann & van der Mensbrugghe, Dominique, 2005. "Structural Change and Poverty Reduction in Brazil: The Impact of the Doha Round," Conference papers 331338, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cai:ecoldc:ecop_187_0123. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Jean-Baptiste de Vathaire (email available below). General contact details of provider: https://www.cairn.info/revue-economie-et-prevision.htm .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.