Clustering regional business cycles

María Gadea (), Ana Gómez-Loscos and Eduardo Bandrés ()
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Eduardo Bandrés: UNIVERSITY OF ZARAGOZA

No 1744, Working Papers from Banco de España

Abstract: The aim of this paper is to show the usefulness of Finite Mixture Markov Models (FMMMs) for regional analysis. FMMMs combine clustering techniques and Markov Switching models, providing a powerful methodological framework to jointly obtain business cycle datings and clusters of regions that share similar business cycle characteristics. An illustration with European regional data shows the sound performance of the proposed method.

Keywords: business cycles; clusters; regions; finite mixture Markov models (search for similar items in EconPapers)
JEL-codes: C22 C32 E32 R11 (search for similar items in EconPapers)
Pages: 23 pages
Date: 2017-12
New Economics Papers: this item is included in nep-ets, nep-eur, nep-geo, nep-mac, nep-sbm and nep-ure
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https://www.bde.es/f/webbde/SES/Secciones/Publicac ... /17/Fich/dt1745e.pdf First version, December 2017 (application/pdf)

Related works:
Journal Article: Clustering regional business cycles (2018)
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Persistent link: https://EconPapers.repec.org/RePEc:bde:wpaper:1744

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