REAT: A Regional Economic Analysis Toolbox for R

Thomas Wieland

REGION, 2020, vol. 7, No 3, R1-R57

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 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.

Date: 2020
References: Add references at CitEc
Citations:

Downloads: (external link)
https://openjournals.wu.ac.at/ojs/index.php/region/article/view/267/version/545 (application/pdf)

Related works:
Journal Article: REAT: A Regional Economic Analysis Toolbox for R (2019)
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:wiw:wiwreg:region_7_3_267

Access Statistics for this article

REGION is currently edited by Vassilis Tselios

More articles in REGION from European Regional Science Association Welthandelsplatz 1, 1020 Vienna, Austria.
Bibliographic data for series maintained by Gunther Maier ().