Flowbca: A flow-based cluster algorithm in Stata

J. Meekes; W.H.J. Hassink

Flowbca: A flow-based cluster algorithm in Stata

Econometrics

Research output: Working paper › Academic

Abstract

In this article, we introduce the Stata implementation of a flow-based cluster algorithm written in Mata. The main purpose of the flowbca command is to identify clusters based on relational data of flows. We illustrate the command by providing multiple applications, from the research fields of economic geography, industrial input-output analysis, and social network analysis.

Original language	English
Publisher	UU USE Tjalling C. Koopmans Research Institute
Number of pages	20
Volume	17-09
Publication status	Published - Jul 2017

Publication series

Name	U.S.E. Discussion paper series
No.	09
Volume	17
ISSN (Electronic)	2666-8238

Keywords

clusters
aggregation
flows

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1 Article

flowbca: A flow-based cluster algorithm in Stata
Meekes, J. & Hassink, W. H. J., 20 Sept 2018, In: Stata Journal. 18, 3, p. 564-584
Research output: Contribution to journal › Article › Academic › peer-review

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Flowbca: A flow-based cluster algorithm in Stata

Abstract

Publication series

Keywords

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flowbca: A flow-based cluster algorithm in Stata

Cite this