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Regional policy and the role of interregional trade data

Policy simulations with a model for Norway

Bibliographic Data

ID7366814
AuthorsUlf Johansen (corresponding author), Ruud Egging (0000-0002-5061-636X), Olga Ivanova (0000-0002-9657-5380)
Year2018
Volume5
Issue1
Pages312-331
Publication date2018-01-01
Open AccessYes
TypeARTICLE
VenueRegional Studies Regional Science (JOURNAL)
Journal identifiersISSN: 2168-1376 • E-ISSN: 2168-1376
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/21681376.2018.1522967
OpenAlexW2897316539
LanguageEN
Citations received1
References cited14

Point data observations are often used to calibrate computable general equilibrium (CGE) models; however, results may be impacted by calibration of an Armington trade specification in a regional CGE (R-CGE) model. This paper calibrates an Armington trade specification with three differently estimated interregional trade data sets. It estimates interregional trade with one survey and two non-survey methods. The resulting three different trade data sets are each used to calibrate REMES, an R-CGE model for Norway. Two regional policy reforms are simulated with the three model versions to analyze the sensitivity of regional manufacturing sector output to trade data estimates. The results show that the trade data estimation method used for calibration significantly affects regional sector output results. Policy analysts and developers should be aware that calibrating an Armington trade specification with differently estimated interregional trade data may have a substantial influence on model results, and hence, on ex-ante and ex-post conclusions on policy impacts

Applied general equilibrium · Calibration · Computable general equilibrium · Econometrics · Economics · Estimation · Free trade · General equilibrium theory · International economics · International trade · Macroeconomics · Panel data · Point (geometry · Policy analysis · Regional trade · Statistics · Economic Growth and Productivity · Fiscal Policy and Economic Growth · Global trade and economics · Mathematics

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Citations per year0.17
Citation span2020 - 2020 (1)
Highly citedNo

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