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The Specification, Estimation and Simulation of a Small Global Macroeconomic Model

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  • Jim Malley
  • David Bell
  • John Foster

Abstract

This report describes the structure and simulation properties of a small global macroeconomic model (SGM). Simulation experiments comparing SGM results with those of other world models suggest that SGM is a viable tool for macroeconomic policy analysis.
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Jim Malley & David Bell & John Foster, 1991. "The Specification, Estimation and Simulation of a Small Global Macroeconomic Model," Working Papers Series 91/6, University of Stirling, Division of Economics.
    • Handle: RePEc:stl:stlewp:91/6
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    References listed on IDEAS

    as
    1. Pagan, Adrian, 1987. "Three Econometric Methodologies: A Critical Appraisal," Journal of Economic Surveys, Wiley Blackwell, vol. 1(1), pages 3-24.
    2. Spanos,Aris, 1986. "Statistical Foundations of Econometric Modelling," Cambridge Books, Cambridge University Press, number 9780521269124.
    3. Gilles Oudiz & Jeffrey Sachs, 1984. "Macroeconomic Policy Coordination among the Industrial Economies," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 15(1), pages 1-76.
    4. Davidson, James E H, et al, 1978. "Econometric Modelling of the Aggregate Time-Series Relationship between Consumers' Expenditure and Income in the United Kingdom," Economic Journal, Royal Economic Society, vol. 88(352), pages 661-692, December.
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    Cited by:

    1. Hanson, Kenneth & Robinson, Sherman & Tokarick, Stephen, 1990. "U.S. Adjustment in the 1990's: A CGE Analysis of Alternative Trade Strategies," Staff Reports 278325, United States Department of Agriculture, Economic Research Service.
    2. Robinson, Sherman & Kilkenny, Maureen & Hanson, Kenneth, 1990. "The USDA/ERS Computable General Equilibrium (CGE) Model of the United States," Staff Reports 278341, United States Department of Agriculture, Economic Research Service.

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