EconPapers    
Economics at your fingertips  
 

A Top-down Framework for Regional Historical Analysis

James Giesecke

Spatial Economic Analysis, 2008, vol. 3, issue 1, 45-87

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.

Keywords: Regional general equilibrium; regional forecasting; top-down model; D58; R11; R13 (search for similar items in EconPapers)
Date: 2008
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
http://www.taylorandfrancisonline.com/doi/abs/10.1080/17421770701774930 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:specan:v:3:y:2008:i:1:p:45-87

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RSEA20

DOI: 10.1080/17421770701774930

Access Statistics for this article

Spatial Economic Analysis is currently edited by Bernie Fingleton and Danilo Igliori

More articles in Spatial Economic Analysis from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:specan:v:3:y:2008:i:1:p:45-87