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Bringing Regional Detail to a CGE Model using Census Data

  • Glyn Wittwer
  • Mark Horridge

Abstract The number of regions and sectors in most regional CGE models is small, due to data and computing limitations. The uses of such models will broaden if they have larger CGE databases. The TERM model combines a massive database with a variable aggregation facility and techniques to economize on computing capacity. This paper goes further, by outlining the use of small-region census data to devise a CGE database with an unprecedented number of regions. Already, the original TERM methodology has been used to devise multi-regional models for a number of countries. Census detail could enhance the detail in these models. Here we group small regions of Australia to develop the first bottom-up regional CGE model which distinguishes all 150 Federal single-seat electoral districts. Introduire des détails à l’échelle régionale dans un modèle CGE en utilisant les données de recensements Rèsumè Le nombre de régions et de secteurs dans la plupart des modèles CGE régionaux est limité, en raison des limitations des données et du calcul. Il est possible de généraliser les applications de ces modèles en les dotant de bases de données de CGE plus importantes. Le modèle TERM allie une base de données considérable à une fonction et des techniques d'agrégation variables permettant d’économiser sur la capacité de calcul. Cette communication va plus loin, et décrit l'application de données découlant de recensements pour des petites régions pour concevoir une base de données CGE avec un nombre de régions sans précédent. La méthodologie initiale TERM a déjà été utilisée pour concevoir des modèles multirégionaux pour un certain nombre de pays. Le détail de ce recensement pourrait renforcer le détail de ces modèles. Nous groupons ici de petites régions de l'Australie pour créer le premier modèle CGE régional du bas en haut qui distingue toutes les circonscriptions électorales fédérales à siège unique. Agregando detalle regional a un modelo CGE mediante datos de censo Extracto El número de regiones y sectores en la mayoría de los modelos CGE regionales es pequeño, debido a limitaciones de datos e informáticas. Los usos de dichos modelos se ampliarán si cuentan con bases de datos CGE mayores. El modelo TERM combina una base de datos masiva con una facilidad y técnicas de agregación variable para economizar en capacidad informática. Este estudio se extiende aún más perfilando el uso de datos de censo de regiones pequeñas para crear una base de datos CGE con un número de regiones sin precedentes. La metodología TERM original ya se ha empleado para crear modelos de regiones múltiples aplicables a varios países. Los datos de censo podrían mejorar el detalle en dichos modelos. Aquí, agrupamos regiones pequeñas de Australia para desarrollar el primer modelo CGE regional ascendente que distingue los 150 distritos electorales federales de un solo escaño.

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Article provided by Taylor & Francis Journals in its journal Spatial Economic Analysis.

Volume (Year): 5 (2010)
Issue (Month): 2 ()
Pages: 229-255

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Handle: RePEc:taf:specan:v:5:y:2010:i:2:p:229-255
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  1. Jimeno, Juan F. & Bentolila, Samuel, 1998. "Regional unemployment persistence (Spain, 1976-1994)," Labour Economics, Elsevier, vol. 5(1), pages 25-51, March.
  2. Mark Partridge & Dan Rickman, 2010. "Computable General Equilibrium (CGE) Modelling for Regional Economic Development Analysis," Regional Studies, Taylor & Francis Journals, vol. 44(10), pages 1311-1328.
  3. Chang K. Seung & David S. Kraybill, 2001. "The Effects of Infrastructure Investment: A Two-Sector Dynamic Computable General Equilibrium Analysis for Ohio," International Regional Science Review, , vol. 24(2), pages 261-281, April.
  4. Haddad, Eduardo A. & Domingues, Edson P. & Perobelli, Fernando S., 2002. "Regional effects of economic integration: the case of Brazil," Journal of Policy Modeling, Elsevier, vol. 24(5), pages 453-482, August.
  5. M.S. Deepak & Carol Taylor West & Thomas H. Spreen, 2001. "Local Government Portfolios and Regional Growth: Some Combined Dynamic CGE/Optimal Control Results," Journal of Regional Science, Wiley Blackwell, vol. 41(2), pages 219-254.
  6. Naqvi, Farzana & Peter, Matthew W, 1996. "A Multiregional, Multisectoral Model of the Australian Economy with an Illustrative Application," Australian Economic Papers, Wiley Blackwell, vol. 35(66), pages 94-113, June.
  7. 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.
  8. 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 105-33, January.
  9. Andrea Bonfiglio & Francesco Chelli, 2008. "Assessing the Behaviour of Non-Survey Methods for Constructing Regional Input-Output Tables through a Monte Carlo Simulation," Economic Systems Research, Taylor & Francis Journals, vol. 20(3), pages 243-258.
  10. Mark Horridge & Glyn Wittwer, 2008. "Creating and managing an impossibly large CGE database that is up-to-date," Centre of Policy Studies/IMPACT Centre Working Papers g-175, Victoria University, Centre of Policy Studies/IMPACT Centre.
  11. Peter B. Dixon & Maureen T. Rimmer & Marinos E. Tsigas, 2007. "Regionalising results from a detailed CGE model: Macro, industry and state effects in the U.S. of removing major tariffs and quotas," Papers in Regional Science, Wiley Blackwell, vol. 86(1), pages 31-55, 03.
  12. Decressin, Jörg & Fatás, Antonio, 1994. "Regional Labour Market Dynamics in Europe," CEPR Discussion Papers 1085, C.E.P.R. Discussion Papers.
  13. Jones, Rich & Whalley, John, 1989. "A Canadian regional general equilibrium model and some applications," Journal of Urban Economics, Elsevier, vol. 25(3), pages 368-404, May.
  14. James Giesecke & John R. Madden, 2003. "Regional Labour Market Adjustment to Competition Policy Reforms: A Dynamic CGE Framework for Assessment," Australian Journal of Labour Economics (AJLE), Bankwest Curtin Economics Centre (BCEC), Curtin Business School, vol. 6(3), pages 409-433, September.
  15. Mark D. Partridge & Dan S. Rickman, 1998. "Regional Computable General Equilibrium Modeling: A Survey and Critical Appraisal," International Regional Science Review, , vol. 21(3), pages 205-248, December.
  16. Horridge, Mark & Wittwer, Glyn, 2008. "SinoTERM, a multi-regional CGE model of China," China Economic Review, Elsevier, vol. 19(4), pages 628-634, December.
  17. Hertel, Thomas, . "Global Trade Analysis: Modeling and applications," GTAP Books 7685, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University.
  18. Harrison, W Jill & Pearson, K R, 1996. "Computing Solutions for Large General Equilibrium Models Using GEMPACK," Computational Economics, Society for Computational Economics, vol. 9(2), pages 83-127, May.
  19. Euijune Kim & Kabsung Kim, 2002. "Impacts of regional development strategies on growth and equity of Korea: A multiregional CGE model," The Annals of Regional Science, Springer, vol. 36(1), pages 165-180.
  20. Glyn Wittwer & David T. Vere & Randall E. Jones & Garry R. Griffith, 2005. "Dynamic general equilibrium analysis of improved weed management in Australia's winter cropping systems ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 49(4), pages 363-377, December.
  21. Glyn Wittwer, 2009. "The Economic Impacts of a New Dam in South-East Queensland," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 42(1), pages 12-23, 03.
  22. James Giesecke, 2008. "A Top-down Framework for Regional Historical Analysis," Spatial Economic Analysis, Taylor & Francis Journals, vol. 3(1), pages 45-87.
  23. Liew, Leong H., 1984. "A Johansen model for regional analysis," Regional Science and Urban Economics, Elsevier, vol. 14(1), pages 129-146, February.
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