flowbca: A flow-based cluster algorithm in Stata
Jordy Meekes
Utrecht University
Utrecht University School of Economics
Utrecht, The Netherlands,
University of Melbourne
Melbourne Institute of Applied Economic and Social Research
Melbourne, Australia,
and IZA, Bonn, Germany
[email protected]
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Wolter H. J. Hassink
Utrecht University
Utrecht University School of Economics
Utrecht, The Netherlands
and IZA, Bonn, Germany
[email protected]
|
Abstract. In this article, we introduce the Stata implementation of a flow-based cluster
algorithm, flowbca, written in Mata. The main purpose of flowbca
is to identify clusters based on relational data of flows. We illustrate the
command by providing multiple examples of applications from the research fields
of economic geography, industrial input–output analysis, and social network
analysis.
View all articles by these authors:
Jordy Meekes, Wolter H. J. Hassink
View all articles with these keywords:
flowbca, clusters, aggregation, flows, regions, industries, economic geography, input–output analysis, social network analysis
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