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The TERM model and its data base

Author

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  • Mark Horridge

Abstract

TERM (The Enormous Regional Model) provides a strategy for creating a "bottom-up" multi-regional CGE model which treats each region of a single country as a separate economy. This makes it a useful tool for examining the regional impacts of shocks that may be region-specific. TERM is designed to allow quick simulations with many regions, so allowing for models of large countries with 30 to 50 provinces, such as USA or China. TERM also offers a standard procedure for preparing a database which requires, in addition to a national input-output or use-supply table, a minimal amount of regional data. More regional data can be used if available.

Suggested Citation

  • Mark Horridge, 2011. "The TERM model and its data base," Centre of Policy Studies/IMPACT Centre Working Papers g-219, Victoria University, Centre of Policy Studies/IMPACT Centre.
    • Handle: RePEc:cop:wpaper:g-219
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    References listed on IDEAS

    as
    1. Liew, L. H., 1984. ""Tops-down" versus "bottoms-up" approaches to regional modeling," Journal of Policy Modeling, Elsevier, vol. 6(3), pages 351-367, August.
    2. 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.
    3. Peter, Matthew W. & Horridge, Mark & Meagher, G. A. & Naqvi, Fazana & Parmenter, B. R., "undated". "The Theoretical Structure of MONASH-MRF," Center of Policy Studies (COPS) Impact Project Papers 266356, Monash University Center of Policy Studies.
    4. Philip D. Adams & Mark Horridge & Glyn Wittwer, 2003. "MMRF-GREEN: A Dynamic Multi-Regional Applied General Equilibrium Model of the Australian Economy, Based on the MMR and MONASH Models," Centre of Policy Studies/IMPACT Centre Working Papers g-140, Victoria University, Centre of Policy Studies/IMPACT Centre.
    5. Tony Flegg & Paul White, 2008. "Regional Input Output Models and the FLQ Formula: A Case Study of Finland," Working Papers 0808, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    6. 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.
    7. 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.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

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    JEL classification:

    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • R13 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General Equilibrium and Welfare Economic Analysis of Regional Economies

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