Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/282236 
Erscheinungsjahr: 
2023
Schriftenreihe/Nr.: 
KRTK-KTI Working Papers No. KRTK-KTI WP - 2023/15
Verlag: 
Hungarian Academy of Sciences, Institute of Economics, Centre for Economic and Regional Studies, Budapest
Zusammenfassung: 
This paper investigates how the evolution of local labour market structure enables or constrains workers as regards escaping low-wage jobs. Drawing on the network-based approach of evolutionary economic geography, we employ a detailed individual-level panel dataset to construct skill-relatedness networks for 72 functional labour market regions in Sweden. Subsequent fixed-effect panel regressions indicate that increasing density of skillrelated high-income jobs within a region is conducive to low-wage workers moving to betterpaid jobs, hence facilitating labour market upgrading through diversification. While metropolitan regions offer a premium for this relationship, it also holds for smaller regions, and across various worker characteristics.
Schlagwörter: 
skill-relatedness network
local labour market
low-wage workers
diversification and structural change
relatedness density
JEL: 
J21
J31
R11
R23
Dokumentart: 
Working Paper

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