Demand-Driven Structural Change in Applied General Equilibrium Models
Roberto Roson and
Dominique van der Mensbrugghe
No 332902, Conference papers from Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project
Abstract:
CGE models are often used to assess policies and environmental impacts occurring at some distant future. Whereas these models are characterized by a detailed account of the economic structure, which is often essential when dealing with impacts affecting specific sectors, they are also calibrated on the basis of some past input-output or SAM tables, meaning that they mirror an economic structure quite different from the one we could possibly observe in the future. This paper is about the development of a a correct methodology to obtain long run estimates of structural change, considering both supply and demand drivers and delivering relevant results for applied economic models, not only CGEs. The different approaches found in the literature are critically evaluated first. Some preliminary results about structural change effects are subsequently presented and discussed.
Keywords: Research; Methods/; Statistical; Methods (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://ageconsearch.umn.edu/record/332902/files/8416.pdf (application/pdf)
Related works:
Working Paper: Demand-Driven Structural Change in Applied General Equilibrium Models (2017) 
Working Paper: Demand-Driven Structural Change in Applied General Equilibrium Models (2017) 
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:ags:pugtwp:332902
Access Statistics for this paper
More papers in Conference papers from Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().