This paper describes FEDERAL-F, a large-scale general-purpose multiregional computable general equilibrium model. The model is dynamic and can be used for forecasting, policy analysis and historical analysis. Large-scale CGE models are commonly used in Australia and play a central role in policy analysis. In this paper we provide an overview of the core of FEDERAL-F's equations via a stylized representation that expresses the model's equations in functional form. An illustrative application demonstrating the power of the model is undertaken. It demonstrates that a feasible state government fiscal policy to halt Tasmania's declining share of national GDP does not exist. 3 The two main computer software packages used for solving CGE models, GEMPACK and GAMS, provide user-friendly means for economists to build large-scale models. Like most Australian economists we employ GEMPACK (Pearson, 1988, andPearson, 1996) for the simulations reported in this paper. For a description of GAMS, see Brooke, et al, 1996. While GAMS is also applicable to other applications, Rutherford (1999) has constructed a version of GAMS specifically for CGE use. GAMS operates in terms of the level of variables. However, while GEMPACK allows users to write their equations in linearised form, the GEMPAK software contains algorithms that allow it to compute the true non-linear solution (see Hertel, et al, 1992). 4 For a comprehensive survey of regional and multiregional CGE models, see Partridge and Rickman (1998). A notable feature of that survey, however, is a near absence of discussion of Australian models. 5 The main applications of MMRF (MONASH multi-regional forecasting model) during most of the 1990s, however, were comparative static, with the model's minimal dynamic properties mainly being used for updating the model's database. Examples of MMRF applications are: the economic impact of the Sydney Olympics (Madden, 2002), cumulative-causation in regional development (Dixon and Peter, 1996) and the impact of competition-policy reforms (Whiteman, 1999).