Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/261630 
Year of Publication: 
2022
Citation: 
[Journal:] Journal of Economic Structures [ISSN:] 2193-2409 [Volume:] 11 [Article No.:] 2 [Publisher:] Springer [Place:] Heidelberg [Year:] 2022 [Pages:] 1-23
Publisher: 
Springer, Heidelberg
Abstract: 
This article using the principal components analysis identifies key industries and groups them into particular clusters. The data come from the US benchmark input-output tables of the years 2002, 2007, 2012 and the most recently published input-output table of the year 2019. We observe some intertemporal switches of industries both between and within the top clusters. The findings further suggest that structural change is a slow-moving process and it takes time for some industries to move from one cluster to the other. This information may be proved important in the designation of effective economic policies by targeting key industries and also for the stability properties of the economic system.
Subjects: 
Clusters
Dimensionality reduction
Networks
Principal components
Structural change
JEL: 
B24
B51
C67
D46
D57
E11
E32
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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