Business Cycle Synchronization in the EU: A Regional-Sectoral Look through Soft-Clustering and Wavelet Decomposition

Saulius Jokubaitis () and Dmitrij Celov
Additional contact information
Saulius Jokubaitis: Vilnius University
Dmitrij Celov: Vilnius University

Journal of Business Cycle Research, 2023, vol. 19, issue 3, No 3, 371 pages

Abstract: Abstract This paper elaborates on the sectoral-regional view of the business cycle synchronization in the EU – a necessary condition for the optimal currency area. We argue that complete and tidy clustering of the data improves the decision maker’s understanding of the synchronization phenomenon and the quality of economic decisions. We define the business cycles by applying a wavelet approach to drift-adjusted gross value-added data spanning over 2000Q1 to 2021Q2. For the application of the synchronization analysis, we propose the novel soft-clustering approach, which adjusts hierarchical clustering in several aspects. First, the method relies on synchronicity dissimilarity measure, noting that, for time series data, the feature space is the set of all points in time. Then, the “soft” part of the approach strengthens the synchronization signal by using silhouette scores. Finally, we add a probabilistic sparsity algorithm to drop out the most asynchronous “noisy” data improving the silhouette scores of the most and less synchronous groups. The method splits the sectoral-regional data into three groups: the synchronous group that shapes the core EU business cycle; the less synchronous group that may hint at lagging sectors and regions; the asynchronous noisy group that may help investors to diversify through-the-cycle risks of their investment portfolios. Our results do not contradict the core-periphery hypothesis, suggesting that France, Germany, Austria and Italy, together with export-oriented economic activities, drive the core EU business cycle. The less synchronous group consists of agriculture, public services, and financial services that respond to global shocks to a lesser extent and are more resilient to the COVID-19 outbreak. Finally, the dropout segment includes periphery regions, containing mainly agriculture and other domestically supplied services. The coherence analysis demonstrates the spillover direction, going from the core to other groups.

Keywords: Business cycle; Coherence; Core-periphery; European Union; Sectoral-regional; Soft-clustering; Silhouette; Synchronization; Wavelets (search for similar items in EconPapers)
JEL-codes: C13 C38 C52 C53 C55 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s41549-023-00090-4 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
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:spr:jbuscr:v:19:y:2023:i:3:d:10.1007_s41549-023-00090-4

Ordering information: This journal article can be ordered from
http://www.springer. ... nomics/journal/41549

DOI: 10.1007/s41549-023-00090-4

Access Statistics for this article

Journal of Business Cycle Research is currently edited by Michael Graff

More articles in Journal of Business Cycle Research from Springer, Centre for International Research on Economic Tendency Surveys (CIRET)
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().