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Modelling the G20

Author

Listed:
  • Warwick J. McKibbin
  • Adam Triggs

Abstract

World leaders have declared the G20 to be the premier forum for economic cooperation. But as its influence and policy agenda has grown, so too has the need to be able to effectively model the G20 and the implications of its policy agenda. The paper introduces the G-Cubed (G20) model: a multi-country, multi-sector, intertemporal general equilibrium model of the G20. The paper gives an overview of the model and highlights its key features through four simulated shocks, all of which relate to the G20’s goal of reducing global current account imbalances: a fiscal shock (reducing the fiscal deficit in the United States), a productivity/fiscal shock (increasing infrastructure investment in Germany), a consumption shock (increasing domestic consumption in China) and the collective impact of all three shocks occurring simultaneously. The results demonstrate that, to be effective, any model of the G20 must reflect the complex trade and financial linkages between countries, the structural differences across G20 economies and the short-term rigidities observed empirically in the data, as well as a high level of disaggregation across economies, markets and sectors. The simulations show that reducing current account imbalances through these policies often comes with a real economic cost. The results also explain some of the shifts in global current account balances observed since 2007.

Suggested Citation

  • Warwick J. McKibbin & Adam Triggs, 2018. "Modelling the G20," CAMA Working Papers 2018-17, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  • Handle: RePEc:een:camaaa:2018-17
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    File URL: https://cama.crawford.anu.edu.au/sites/default/files/publication/cama_crawford_anu_edu_au/2018-04/17_2018_mckibbin_triggs_v1.pdf
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    Citations

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    Cited by:

    1. Rod Tyers & Qun Shi, 2007. "Demographic Change and Policy Responses: Implications for the Global Economy," The World Economy, Wiley Blackwell, vol. 30(4), pages 537-566, April.
    2. Roshen Fernando, 2020. "Global impact of loss of confidence in Asian emerging markets," The World Economy, Wiley Blackwell, vol. 43(7), pages 1907-1927, July.
    3. Adam John Triggs & Warwick James McKibbin, 2021. "Global implications of a US‐led currency war," The World Economy, Wiley Blackwell, vol. 44(6), pages 1484-1508, June.
    4. Muhammad Jawad & Zaib Maroof & Munazza Naz, 2021. "Impact of pandemic COVID‐19 on global economies (a seven‐scenario analysis)," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(7), pages 1897-1908, October.
    5. M. C. Freeman & I. R. Davidson, 1999. "Estimating the equity premium," The European Journal of Finance, Taylor & Francis Journals, vol. 5(3), pages 236-246.
    6. Marga Peeters & Loek Groot, 2012. "A Global View On Demographic Pressure And Labour Market Participation," Journal of Global Economy, Research Centre for Social Sciences,Mumbai, India, vol. 8(2), pages 165-194, June.
    7. Shi, Qun & Tyers, Rod, 2005. "Global Demographic Change and Economic Performance: Applications of an Augmented GTAP-Dynamic," Conference papers 331414, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    8. Ben Shepherd, 2005. "Market Power in International Commodity Processing Chains: Preliminary Results from the Coffee Market," International Trade 0511013, University Library of Munich, Germany.
    9. Jomo K.S., 2001. "Growth After The Asian Crisis: What Remains Of The East Asian Model?," G-24 Discussion Papers 10, United Nations Conference on Trade and Development.
    10. McKibbin, Warwick J., 1998. "Greenhouse abatement policy: insights from the G-cubed multi-country model," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 42(1), pages 1-15.
    11. Maria Teresa Gonzalo & Jan Saarela, 2000. "Gender differences in exit rates from unemployment: evidence from," Finnish Economic Papers, Finnish Economic Association, vol. 13(2), pages 129-139, Autumn.
    12. Natalia Shmatko, 2012. "Competences of Engineers. Evidence from a Comparative Study for Russia and EU Countries," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 6(4), pages 32-47.
    13. Ahmad Zubaidi Baharumshah & Liew Khim Sen, 2003. "The Predictability of ASEAN-5 Exchange Rates," International Finance 0307004, University Library of Munich, Germany.
    14. Rod Tyers & Jane Golley, 2006. "China's Growth to 2030: The Roles of Demographic Change and Investment Risk," ANU Working Papers in Economics and Econometrics 2006-461, Australian National University, College of Business and Economics, School of Economics.
    15. Rod Tyers & Jane Golley, 2006. "China's Growth to 2030: The Roles of Demographic Change and Investment Premia," PGDA Working Papers 1206, Program on the Global Demography of Aging.
    16. Gordana Djurovic & Vasilije Djurovic & Martin M. Bojaj, 2020. "The macroeconomic effects of COVID-19 in Montenegro: a Bayesian VARX approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-16, December.
    17. Jomo Kwame Sundaram, 2008. "Obstacles To Implementing Lessons from the 1997-1998 East Asian Crises," Working Papers 66, United Nations, Department of Economics and Social Affairs.

    More about this item

    Keywords

    macroeconomic policy coordination; intertemporal general equilibrium models; econometric modelling; Group of 20; fiscal policy; structural reform;
    All these keywords.

    JEL classification:

    • F4 - International Economics - - Macroeconomic Aspects of International Trade and Finance
    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
    • D9 - Microeconomics - - Micro-Based Behavioral Economics
    • D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models
    • E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy; Modern Monetary Theory

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