Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/242040 
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Erscheinungsjahr: 
2021
Quellenangabe: 
[Journal:] Papers in Regional Science [ISSN:] 1435-5957 [Volume:] 100 [Issue:] 4 [Publisher:] Wiley [Place:] Hoboken, NJ [Year:] 2021 [Pages:] 1025-1053
Verlag: 
Wiley, Hoboken, NJ
Zusammenfassung: 
Since the early 1970s, it was argued that shifts from relatively smaller to larger youth cohorts in the labor force raise the unemployment rate. In contrast, using US state-level data, two studies come to a contrary conclusion. I provide a theoretical framework for local labor markets that considers age cohort differences in labor market characteristics. Using a spatial panel data model and US county-level data (2000–2014), the estimates provide strong evidence that aging of the working-age population reduces overall unemployment by almost 1 percentage point. Long-run effects that consider local feedbacks are even larger.
Schlagwörter: 
aging
regional unemployment
spatial interactions
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