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MMRF: Monash Multi-Regional Forecasting Model: A Dynamic Multi-Regional Model of the Australian Economy

Author

Listed:
  • Philip Adams
  • Janine Dixon
  • James Giesecke
  • Mark Horridge

Abstract

MMRF is a dynamic CGE model of Australia's six State and two Territory economies. MMRF is used extensively in contract research. Several features of MMRF make it an ideal tool for policy analysis, including: dynamics, a highly disaggregated regional and sectoral database, a national labour market, and detailed modelling of government financial statistics.

Suggested Citation

  • Philip Adams & Janine Dixon & James Giesecke & Mark Horridge, 2010. "MMRF: Monash Multi-Regional Forecasting Model: A Dynamic Multi-Regional Model of the Australian Economy," Centre of Policy Studies/IMPACT Centre Working Papers g-223, Victoria University, Centre of Policy Studies/IMPACT Centre.
    • Handle: RePEc:cop:wpaper:g-223
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    References listed on IDEAS

    as
    1. James A Giesecke & John R Madden, 2006. "Uncovering the Factors behind Comparative Regional Economic Performance: A Dynamic CGE Approach," Centre of Policy Studies/IMPACT Centre Working Papers g-165, Victoria University, Centre of Policy Studies/IMPACT Centre.
    2. Mark Horridge, 2000. "ORANI-G: A General Equilibrium Model of the Australian Economy," Centre of Policy Studies/IMPACT Centre Working Papers op-93, Victoria University, Centre of Policy Studies/IMPACT Centre.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Kevin Hanslow & Don Gunasekera & Brendan Cullen & David Newth, 2014. "Economic impacts of climate change on the Australian dairy sector," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 58(1), pages 60-77, January.
    2. Jason Nassios & John Madden & James Giesecke & Janine Dixon & Nhi Tran & Peter Dixon & Maureen Rimmer & Philip Adams & John Freebairn, 2019. "The economic impact and efficiency of state and federal taxes in Australia," Centre of Policy Studies/IMPACT Centre Working Papers g-289, Victoria University, Centre of Policy Studies/IMPACT Centre.
    3. Philip D. Adams & Brian R. Parmenter & George Verikios, 2014. "An Emissions Trading Scheme for Australia: National and Regional Impacts," The Economic Record, The Economic Society of Australia, vol. 90(290), pages 316-344, September.
    4. 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.
    5. N. G. Dzhurka, 2018. "Development Trajectories of the Russian Far East: Evaluation Based on the Dynamic Model of Economic Interactions," Studies on Russian Economic Development, Springer, vol. 29(2), pages 144-152, March.
    6. Zhang, Xiao-Guang, 2013. "A simple structure for CGE models," Conference papers 332346, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    7. Giesecke, James A. & Madden, John R., 2013. "Regional Computable General Equilibrium Modeling," Handbook of Computable General Equilibrium Modeling, in: Peter B. Dixon & Dale Jorgenson (ed.), Handbook of Computable General Equilibrium Modeling, edition 1, volume 1, chapter 0, pages 379-475, Elsevier.
    8. Carrico, Caitlyn & Tabeau, Andrzej & Kuiper, Marijke, 2020. "Modelling Trade Growth for Long-Run Economic Prospects: Improving Trade to Income Elasticity Calibration in Baselines," Conference papers 333135, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    9. Nhi Tran & Louise Roos & James Giesecke, 2012. "DIAC-TERM: A Multi-regional Model of the Australian Economy With Migration Detail," Centre of Policy Studies/IMPACT Centre Working Papers g-238, Victoria University, Centre of Policy Studies/IMPACT Centre.
    10. Törmä, Hannu & Kujala, Susanna & Kinnunen, Jouko, 2015. "The employment and population impacts of the boom and bust of Talvivaara mine in the context of severe environmental accidents – A CGE evaluation," Resources Policy, Elsevier, vol. 46(P2), pages 127-138.
    11. Glyn Wittwer & Mark Horridge, 2018. "SinoTERM365, Bottom-up Representation of China at the Prefectural Level," Centre of Policy Studies/IMPACT Centre Working Papers g-285, Victoria University, Centre of Policy Studies/IMPACT Centre.
    12. Kevin Hanslow, 2010. "NIAM: National Integrated Assessment Model - Proof-of-concept development and application," Centre of Policy Studies/IMPACT Centre Working Papers g-210, Victoria University, Centre of Policy Studies/IMPACT Centre.
    13. Glyn Wittwer & Mark Horridge, 2018. "Prefectural Representation of the Regions of China in a Bottom-up CGE Model: SinoTERM365," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 3(2), pages 178-213, December.
    14. Hidayat Amir & Ferry Irawan & Djoni Hartono & Anda Nugroho, 2015. "The Development of Fiscal Social Accounting Matrix for Indonesia," Working Papers in Economics and Business 201506, Faculty of Economics and Business, University of Indonesia, revised Oct 2015.

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    More about this item

    Keywords

    CGE modelling; dynamics; regional economics;
    All these keywords.

    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
    • 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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