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A Top-down Framework for Regional Historical Analysis

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  • James Giesecke

Abstract

Abstract Bottom-up regional computable general equilibrium (CGE) models have clear theoretical advantages over their top-down counterparts. However bottom-up models are data intensive. Hence they face practical difficulties in applications requiring high levels of regional and sectoral disaggregation, such as explaining regional economic outcomes, and regional forecasting and policy analysis. This paper develops a top-down framework for explaining recent economic history for many regions. This requires estimation of variables describing regional structural change. These variables have a further use in generating plausible regional forecasts. Such forecasts are a prerequisite for convincing regional policy analysis.

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Bibliographic Info

Article provided by Taylor & Francis Journals in its journal Spatial Economic Analysis.

Volume (Year): 3 (2008)
Issue (Month): 1 ()
Pages: 45-87

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Handle: RePEc:taf:specan:v:3:y:2008:i:1:p:45-87

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Related research

Keywords: Regional general equilibrium; regional forecasting; top-down model; D58; R11; R13;

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Cited by:
  1. Giesecke, James A. & Madden, John R., 2013. "Regional Computable General Equilibrium Modeling," Handbook of Computable General Equilibrium Modeling, Elsevier.

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