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https://doi.org/10.18335/region.v6i3.267

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REAT: A Regional Economic Analysis Toolbox for R

[journal article]

Wieland, Thomas

Abstract

Methods of regional economic analysis are widely used in regional and urban economics as well as in economic geography. This paper introduces the REAT (Regional Economic Analysis Toolbox) package for the programming environment R, which provides a collection of mathematical regional analysis methods... view more

Methods of regional economic analysis are widely used in regional and urban economics as well as in economic geography. This paper introduces the REAT (Regional Economic Analysis Toolbox) package for the programming environment R, which provides a collection of mathematical regional analysis methods in a user-friendly way. The focus is on the identification of regional inequality, beta and sigma convergence, measurement of agglomerations, point-based measures of clustering and accessibility as well as regional growth. The theoretical basics of the applications are briefly introduced, while the usage of the most important functions is presented and explained using real data.... view less

Keywords
regional economy; economic geography; economic statistics; regional difference; concentration of enterprises; economic growth; measurement; analysis

Classification
Basic Research, General Concepts and History of Economics

Document language
English

Publication Year
2019

Page/Pages
p. R1-R57

Journal
Region: the journal of ERSA, 6 (2019) 3

ISSN
2409-5370

Status
Published Version; reviewed

Licence
Creative Commons - Attribution-NonCommercial 4.0


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© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.