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A Hybrid Top-Down, Bottom-Up Regional Computable General Equilibrium Model

Author

Listed:
  • Peter J. Higgs

    (IMPACT Project Research Center, University of Melbourne, Victoria 3053 Australia)

  • B. R. Parmenter

    (Institute of Applied Economic and Social Research, University of Melbourne, Victoria 3052 Australia)

  • Russell J. Rimmer

    (Department of Information and Numerical Sciences, Victoria College, Victoria 3168 Australia)

Abstract

This article compares top-down and bottom-up methods for obtaining regional projections for policy analysis using computable general equilibrium models. In view of the computing and data problems of bottom-up, multisectoral models, a hybrid approach is proposed in which a partially regionalized computable general equilibrium model is used to drive a top-down regional equation system. The hybrid avoids some of the serious theoretical shortcomings of the top-down approach but is much less data demanding than a complete bottom-up model. An application, based on the ORANI computable general equilibrium model of Australia, is presented with comparative top-down and hybrid results.

Suggested Citation

  • Peter J. Higgs & B. R. Parmenter & Russell J. Rimmer, 1988. "A Hybrid Top-Down, Bottom-Up Regional Computable General Equilibrium Model," International Regional Science Review, , vol. 11(3), pages 317-328, December.
  • Handle: RePEc:sae:inrsre:v:11:y:1988:i:3:p:317-328
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    Cited by:

    1. Mauricio Bittencourt & Donald Larson & David Kraybill, 2010. "Regional Short-Run Effects Of Trade Liberalization In Brazil," Economic Systems Research, Taylor & Francis Journals, vol. 22(1), pages 65-85.
    2. James A. Giesecke & John R. Madden, 2013. "Evidence-based regional economic policy analysis: the role of CGE modelling," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 6(2), pages 285-301.
    3. Glyn Wittwer & Mark Horridge, 2010. "Bringing Regional Detail to a CGE Model using Census Data," Spatial Economic Analysis, Taylor & Francis Journals, vol. 5(2), pages 229-255.
    4. Yalew, Amsalu W. & Hirte, Georg & Lotze-Campen, Hermann & Tscharaktschiew, Stefan, 2017. "General equilibrium effects of public adaptation in agriculture in LDCs: Evidence from Ethiopia," CEPIE Working Papers 11/17, Technische Universität Dresden, Center of Public and International Economics (CEPIE).
    5. Horridge, Mark & Madden, John & Wittwer, Glyn, 2005. "The impact of the 2002-2003 drought on Australia," Journal of Policy Modeling, Elsevier, vol. 27(3), pages 285-308, April.
    6. Giesecke, James A. & Madden, John R., 2013. "Regional Computable General Equilibrium Modeling," Handbook of Computable General Equilibrium Modeling, Elsevier.
    7. Harrigan, Frank & McGregor, Peter G & Swales, J K, 1996. "The System-Wide Impact on the Recipient Region of a Regional Labour Subsidy," Oxford Economic Papers, Oxford University Press, vol. 48(1), pages 105-133, January.
    8. John R. Kort, 1995. "Southern Regional Economics In The 1990's: Back To Basics? (Presidential Address, April 9, 1994)," The Review of Regional Studies, Southern Regional Science Association, vol. 25(1), pages 1-11, Summer.
    9. Bittencourt, Maurício Vaz Lobo & Kraybill, David S. & Larson, Donald W., 2006. "Consequences Of Trade Liberalization On Poverty And Income Distribution In Brazil," 2006 Annual meeting, July 23-26, Long Beach, CA 21128, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    10. Mardones D., Cristián, 2012. "Chile: building a computable general equilibrium model with an application to the Bío Bío region," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), April.
    11. Yalew, Amsalu W. & Hirte, Georg & Lotze-Campen, Hermann & Tscharaktschiew, Stefan, 2017. "Economic effects of climate change in developing countries: Economy-wide and regional analysis for Ethiopia," CEPIE Working Papers 10/17, Technische Universität Dresden, Center of Public and International Economics (CEPIE).
    12. James Giesecke, 2008. "A Top-down Framework for Regional Historical Analysis," Spatial Economic Analysis, Taylor & Francis Journals, vol. 3(1), pages 45-87.

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