Dynamic general equilibrium modelling for forecasting and policy : a practical guide and documentation of MONASH

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DOI: 10.1108/S0573-8555(2001)256

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摘要: Preface. Chapter 1: Aims, Background, Innovations and Presentation. Introduction. Background Innovations. Presentation, Computer Code, Reading Strategy Themes. 2: An Illustrative Application of MONASH: the Australian Motor Vehicle Industry from 1987 to 2016. Historical Decomposition Simulations: The 1994. Forecast Simulation: Prospects for Industry, 1998 A Policy Effects Reductions in Tariff on Vehicles. Implications Concluding Remarks. Appendix: Derivation Formulas Analysing Difference Between GDP Paths Alternative Simulations. 3: Mathematical Structure, Solution Algorithm Implementation: Overview. Overview Structure MONASH Introduction Johansen/Euler Method. Input-Output Database Initial Solution. Evaluation Coefficients Linear Systems such as (11.2) (11.12). GEMPACK Computations Model. 4: Theory Schematic Version Results Optimizing Decisions. Demands Exports. Indirect Taxes. Definitions Macro Variable: Interpretation Divisia Indexes. Capital-Supply Functions, Rates Return Forward-Looking Expectations. Computational Halfway Databases. Equations Facilitating Wage Adjustment Welfare Measures Public-Sector Account, Current Account Household Account. CRESH Production Functions CRETH Transformation Frontiers. Underlying Demand Traditional Levels representation Price Quantity Indexes MONASH. 5: Developing Closures. closure (Third Column Table 30.1). Closure (Fourth (Second (First Closures: 6: Extensions, Progress Future. Generating Sub-National Regions. Detailed Occupations. Output at a Sub-Input-Output Level. Distributional Results: Real Incomes Many Types Households. Quantifying Labour Market Costs. References. Author Index. Subject

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