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The Stata Journal
Volume 18 Number 3: pp. 564-584



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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
jordy.meekes@unimelb.edu.au
Wolter H. J. Hassink
Utrecht University
Utrecht University School of Economics
Utrecht, The Netherlands
and IZA, Bonn, Germany
W.H.J.Hassink@uu.nl
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.
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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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