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Comparing the Impacts of Financial Regulation in Australia and the United States via Simulation with Country-specific Financial CGE Models

Author

Listed:
  • J. Nassios
  • James A. Giesecke
  • Maureen T. Rimmer
  • Peter B. Dixon

Abstract

Beginning with Johansen (1960), computable general equilibrium (CGE) models have been widely applied to study the impact of a variety of economic issues of interest to policy makers. These include changes in taxes and tariffs, changes in labour force demographics and skill levels, the impact of epidemics and terrorist attacks, the impact of drought and water policy reform, and the economic costs of climate change mitigation (Dixon and Parmenter (1996); Dixon and Rimmer (2002); Adams (2007); Giesecke et al. (2015); Wittwer and Dixon (2015)). Despite the efficacy of CGE models as tools in policy analysis, key linkages between the real and financial economies are often treated implicitly; for example, the current account deficit is assumed to be financed in full by a foreign agent, e.g., via a small country assumption. In an explicit sense we may ask how the foreign investor chooses to finance a deficit, e.g., do they prefer to purchase domestic agent bonds, equity or a combination of the two instruments? What are the associated implications for relative rates]ofreturn across the suite of domestic financial instruments, and how do changes in relative returns affect domestic agent investment decisions, nominal exchange rates, and the real economy? This paper seeks to address such questions via the development of a theory of the financial sector for a traditional dynamic CGE model of the U.S. (USAGE 2.0). We begin with a brief synopsis of the construction of a financial database for the United States (U.S.), which documents the stocks and transactional flows of 5 financial instruments across 11 distinct agents. The financial database derived herein and the approach documented in Dixon et al. (2015), are then used to develop a new financial CGE model of the U.S. called USAGE2F. Explicit recognition of financial stocks and flows broadens the scope of CGE analyses to include the effects of changes in capital adequacy requirements of key financial agents, e.g., the commercial banks, as we illustrate with an example. The results are subsequently compared to findings of a similar policy scenario in Australia, which are outlined in Giesecke et al. (2016). This analysis serves to illustrate how the impacts of regulatory change (in this case, a rise in capital adequacy ratios) can be affected by jurisdiction]specific differences in the structure of the financial sector.

Suggested Citation

  • J. Nassios & James A. Giesecke & Maureen T. Rimmer & Peter B. Dixon, 2016. "Comparing the Impacts of Financial Regulation in Australia and the United States via Simulation with Country-specific Financial CGE Models," Centre of Policy Studies/IMPACT Centre Working Papers g-263, Victoria University, Centre of Policy Studies/IMPACT Centre.
  • Handle: RePEc:cop:wpaper:g-263
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    Citations

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    Cited by:

    1. Jason Nassios & James A. Giesecke & Peter B. Dixon & Maureen T. Rimmer, 2016. "Superannuation and Macroeconomic Growth and Stability," Centre of Policy Studies/IMPACT Centre Working Papers g-267, Victoria University, Centre of Policy Studies/IMPACT Centre.
    2. Jason Nassios & James A. Giesecke & Peter B. Dixon & Maureen T. Rimmer, 2016. "A modelling framework for analysing the role of superannuation in Australia's financial system," Centre of Policy Studies/IMPACT Centre Working Papers g-266, Victoria University, Centre of Policy Studies/IMPACT Centre.
    3. John Freebairn, 2022. "Company Income Tax and Business Investment," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 55(3), pages 346-360, September.

    More about this item

    Keywords

    Capital adequacy ratio; financial stability; financial CGE model;
    All these keywords.

    JEL classification:

    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models

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