Modelling Inter-Regional Trade Flows: Data and Methodological Issues in Rhomolo
Olga Ivanova (),
d'Artis Kancs and
Dirk Stelder
EERI Research Paper Series from Economics and Econometrics Research Institute (EERI), Brussels
Abstract:
The present paper studies the modelling of inter-regional trade flows in the newly developed general equilibrium model of European Commission, Rhomolo. In contrast to international trade, usually, trade of goods and services between regions is not recorded statistically. As a result, no statistical data exists for inter-regional trade, which could be readily used for modelling purposes. We propose an augmented entropy approach, which combines the Transtools model’s inter-regional trade and inter-regional transport cost data with data from regional and national statistics to obtain a full set of balanced bilateral trade data for all inter-regional transactions.
Keywords: Inter-regional trade; general equilibrium; trade costs; entropy; economic geography spatial equilibrium; DSGE. (search for similar items in EconPapers)
JEL-codes: C68 F10 F15 F17 R11 R41 (search for similar items in EconPapers)
Date: 2009-09-09
New Economics Papers: this item is included in nep-dge and nep-lab
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (14)
Downloads: (external link)
http://www.eeri.eu/documents/wp/EERI_RP_2009_31.pdf (application/pdf)
Related works:
Working Paper: Regional Trade Flows and Input Output Data for Europe (2019) 
Working Paper: Modelling Inter-Regional Trade Flows: Data and Methodological Issues (2013) 
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:eei:rpaper:eeri_rp_2009_31
Access Statistics for this paper
More papers in EERI Research Paper Series from Economics and Econometrics Research Institute (EERI), Brussels Contact information at EDIRC.
Bibliographic data for series maintained by Julia van Hove ().