Household Joblessness in U.S. Metropolitan Areas during the COVID-19 Pandemic: Polarization and the Role of Educational Profiles.

Autor/inn/en	Biegert, Thomas; Özcan, Berkay; Rossetti-Youlton, Magdalena
Titel	Household Joblessness in U.S. Metropolitan Areas during the COVID-19 Pandemic: Polarization and the Role of Educational Profiles. Gefälligkeitsübersetzung: Arbeitslosigkeit der Haushalte in den Großstadtgebieten der USA während der COVID-19-Pandemie: Polarisierung und die Rolle von Bildungsprofilen.
Quelle	In: Socius : sociological research for a dynamic world, (2023) 9, S. 1-25 PDF als Volltext kostenfreie Datei Link als defekt meldenVerfügbarkeit
Sprache	englisch
Dokumenttyp	online; Zeitschriftenaufsatz
ISSN	2378-0231
DOI	10.1177/23780231231158087
Schlagwörter	Bildungsniveau; Soziale Ungleichheit; Arbeitslosigkeit; Großstadt; Individuum; Soziale Ungleichheit; Stadtregion; Wirtschaftskrise; Regionaler Arbeitsmarkt; USA; Auswirkung; Qualifikation; Bildungsniveau; Pandemie; Stadtregion; Pandemie; Großstadt; Beschäftigungseffekt; Privathaushalt; Wirtschaftskrise; Arbeitslosigkeit; Erwerbsbevölkerung; Qualifikation; Regionaler Arbeitsmarkt; Auswirkung; Einflussfaktor; Regionaler Vergleich; Individuum; USA
Abstract	"The authors use Current Population Survey 2016 to 2021 quarterly data to analyze changes in household joblessness across metropolitan areas in the United States during the coronavirus disease 2019 pandemic. The authors first use shift-share analysis to decompose the change in household joblessness into changes in individual joblessness, household compositions, and polarization. The focus is on polarization, which is the result of the unequal distribution of individual joblessness across households. The authors find that the rise in household joblessness during the pandemic varies strongly across U.S. metropolitan areas. The initial stark increase and subsequent recovery are due largely to changes in individual joblessness. Polarization contributes notably to household joblessness but to varying degree. Second, the authors use metropolitan area-level fixed-effects regressions to test whether the educational profile of the population is a helpful predictor of changes in household joblessness and polarization. They measure three distinct features: educational levels, educational heterogeneity, and educational homogamy. Although much of the variance remains unexplained, household joblessness increased less in areas with higher educational levels. The authors show that how polarization contributes to household joblessness is shaped by educational heterogeneity and educational homogamy." The study refers to the period 2016-2021. (Author's abstract, IAB-Doku)..
Erfasst von	Institut für Arbeitsmarkt- und Berufsforschung, Nürnberg
Update	2023/1