SCGE modelling in cost-benefit analysis: The Dutch experience
Carl Koopmans and
Jan Oosterhaven
Research in Transportation Economics, 2011, vol. 31, issue 1, 29-36
Abstract:
Spatial computable general equilibrium (SCGE) models offer opportunities for computing wider economic effects in cost-benefit analysis (CBA) in a theoretically satisfactory way. This is important for the correct estimation of additional economic benefits and international relocation impacts. In the Netherlands, this potential has only been reached partly. Many different types of models are actually used, none of which yet covers all relevant markets. In CBAs carried out in recent years, ad hoc methods were used more often than models, let alone SCGE models. Moreover, the usual presentation of the model outcomes appears as a [`]black box' to policy makers. There is much work to be done, in extending SCGE models to strengthen their empirical basis, and in improving the presentation of the outcomes.
Keywords: Transport; infrastructure; Spatial; equilibrium; models; Market; imperfections; Cost-benefit; analysis; The; Netherlands (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0739-8859(10)00127-7
Full text for ScienceDirect subscribers only
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:eee:retrec:v:31:y:2011:i:1:p:29-36
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_2&version=01
Access Statistics for this article
Research in Transportation Economics is currently edited by M. Dresner
More articles in Research in Transportation Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().