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.

Highlights

  • The USAGE 2.0 model is a dynamic computable general equilibrium (CGE) model of the United States based on the MONASH model Dixon and Rimmer (2002), and developed in collaboration with the U.S International Trade Commission

  • To facilitate the analysis of a broader range of policy issues, in section 2 of this report we describe the development of USAGE2F, a financial CGE model of the U.S economy

  • The question that naturally arises when comparing the Australian and U.S financial computable general equilibrium (FCGE) results of equivalent increases in the capital adequacy ratios of domestic commercial banks, is whether the differences are driven by the financial structure of the respective economies, or are matters related to the real‐side of the economy, the dominant explanation? In what follows, we explore both avenues

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Summary

Introduction

The USAGE 2.0 model is a dynamic computable general equilibrium (CGE) model of the United States based on the MONASH model Dixon and Rimmer (2002), and developed in collaboration with the U.S International Trade Commission. The model is silent on various links between the real‐ and monetary‐sides of the U.S economy These limitations preclude the study of important policy questions related to the financial sector. The exogenous status of both public consumption and the PSBR / GDP ratio requires the flexible determination of at least one government revenue instrument. To this end, we endogenously determine a direct tax on household income; iii) The policy interest rate in year t adjusts relative to its t‐1 level in response to movements in the consumer price inflation rate away from target, and movements in the employment rate (an output gap measure) away from target

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