Technological unemployment revisited. Automation in a search and matching framework.

Autor/inn/en	Cords, Dario; Prettner, Klaus
Institution	USA / General Land Office
Titel	Technological unemployment revisited. Automation in a search and matching framework. Gefälligkeitsübersetzung: Technologisch bedingte Arbeitslosigkeit wird neu bewertet *Automatisierung in einem Such- und Matching-Modell.
Quelle	Maastricht (2019), 34 S. PDF als Volltext kostenfreie Datei Link als defekt meldenVerfügbarkeit
Reihe	GLO discussion paper. 308
Sprache	englisch
Dokumenttyp	online; Monographie
Schlagwörter	Bildungsertrag; Substitution; Automatisierung; Industrieroboter; Technologische Entwicklung; Beschäftigungseffekt; Einkommenseffekt; Produktionsfaktor; Arbeitslosenquote; Niedrig Qualifizierter; Auswirkung; Effekt; Hoch Qualifizierter
Abstract	"Will low-skilled workers be replaced by automation? To answer this question, we set up a search and matching model that features two skill types of workers and includes automation capital as an additional production factor. Automation capital is a perfect substitute for low-skilled workers and an imperfect substitute for high-skilled workers. Using this type of model, we show that the accumulation of automation capital decreases the labor market tightness in the low-skilled labor market and increases the labor market tightness in the high-skilled labor market. This leads to a rising unemployment rate and falling wages of low-skilled workers and a falling unemployment rate and rising wages of high-skilled workers. In a calibration to German data, we show that one additional industrial robot causes a loss of 1.66 low-skilled manufacturing jobs, whereas the additional robot creates 3.42 high-skilled manufacturing jobs. Thus, overall employment even rises with automation." (Author's abstract, IAB-Doku).
Erfasst von	Institut für Arbeitsmarkt- und Berufsforschung, Nürnberg
Update	2019/3