Economic Modelling
SNIP measures contextual citation impact by weighting citations based on the total number of citations in a subject field.
SJR is a prestige metric based on the idea that not all citations are the same. SJR uses a similar algorithm as the Google page rank; it provides a quantitative and a qualitative measure of the journal’s impact.
The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years.
© 2017 Journal Citation Reports ® (Clarivate Analytics, 2017)
To calculate the five year Impact Factor, citations are counted in 2016 to the previous five years and divided by the source items published in the previous five years.
© 2017 Journal Citation Reports ® (Clarivate Analytics, 2017)
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Description
Economic Modelling - a scholarly journal which came into being in 1984 - fills a major gap in the economics literature, providing a single source of both theoretical and applied papers on economic modelling. The journal's prime objective is to provide an international review of the state-of-the-art in economic modelling.
Economic Modelling has historically published the complete versions of many large-scale macroeconomic models (for advanced and less developed countries and both closed and open economies) which have been developed for policy analysis. Examples are the Bank of England Model and the US Federal Reserve Board Model. As these models are updated and new models are developed, the journal continues to publish papers dealing with these revisions or new models, including structural macro-modeling in a VAR framework or in the latest DSGE settings.
The journal currently publishes policy-relevant theoretical and applied papers in macroeconomics and other fields of economics, such as development economics, energy economics, environmental economics, financial economics, health economics, industrial economics, international economics, labor economics, microeconomics, public economics, and urban economics. The journal also welcomes cutting-edge empirical papers in heterodox economics.