Who is afraid of machines?

Autor/inn/en	Blanas, Sotiris; Gancia, Gino; Lee, Sang Yoon Tim
Titel	Who is afraid of machines? Gefälligkeitsübersetzung: Wer hat Angst vor Maschinen?
Quelle	In: Economic policy, 34 (2020) 100, S. 627-690 PDF als Volltext Link als defekt meldenVerfügbarkeit
Sprache	englisch
Dokumenttyp	online; Zeitschriftenaufsatz
ISSN	1468-0327
DOI	10.1093/epolic/eiaa005
Schlagwörter	Automatisierung; Industrieroboter; Technologische Entwicklung; Beschäftigungseffekt; Arbeitskräftebedarf; Qualifikation; Internationaler Vergleich; Auswirkung; Geschlechtsspezifik; Sektorale Verteilung; Australien; Dänemark; Finnland; Großbritannien; Italien; Japan; Niederlande; Spanien; USA; Österreich
Abstract	"We study how various types of machines, namely, information and communication technologies, software and especially industrial robots, affect the demand for workers of different education, age and gender. We do so by exploiting differences in the composition of workers across countries, industries and time. Our data set comprises 10 high-income countries and 30 industries, which span roughly their entire economies, with annual observations over the period 1982-2005. The results suggest that software and robots reduced the demand for low- and medium-skill workers, the young and women - especially in manufacturing industries; but raised the demand for high-skill workers, older workers and men - especially in service industries. These findings are consistent with the hypothesis that automation technologies, contrary to other types of capital, replace humans performing routine tasks. We also find evidence for some types of workers, especially women, having shifted away from such tasks." (Author's abstract, IAB-Doku).
Erfasst von	Institut für Arbeitsmarkt- und Berufsforschung, Nürnberg
Update	2021/1