Don't blame the robots. Assessing the job polarization explanation of growing wage inequality.

Autor/inn/en	Mishel, Lawrence; Shierholz, Heidi; Schmitt, John
Institution	Economic Policy Institute (Washington, DC); Center for Economic and Policy Research (Washington, DC)
Titel	Don't blame the robots. Assessing the job polarization explanation of growing wage inequality. Gefälligkeitsübersetzung: Beschuldige nicht die Roboter. Einschätzung der Job-Polarisierungsthese zur Erklärung der zunehmenden Lohnungleichheit.
Quelle	Washington, DC (2013), 96 S. PDF als Volltext kostenfreie Datei Link als defekt meldenVerfügbarkeit
Reihe	EPI-CEPR working paper
Sprache	englisch
Dokumenttyp	online; Monographie
Schlagwörter	Segmentierung; Einkommensunterschied; Lohnentwicklung; Lohngruppe; Niedriglohn; Beschäftigungsentwicklung; Arbeitsmarkt; Berufsgruppe; Mittlere Berufsausbildung; Niedrig Qualifizierter; Qualifikationsniveau; Dienstleistungsberuf; Ursache; Hoch Qualifizierter; USA
Abstract	Many economists contend that technology is the primary driver of the increase in wage inequality since the late 1970s, as technology-induced job skill requirements have outpaced the growing education levels of the workforce. The influential 'skill-biased technological change' (SBTC) explanation claims that technology raises demand for educated workers, thus allowing them to command higher wages -- which in turn increases wage inequality. A more recent SBTC explanation focuses on computerization's role in increasing employment in both higher-wage and lower-wage occupations, resulting in 'job polarization.' This paper contends that current SBTC models -- such as the education-focused 'canonical model' and the more recent 'tasks framework' or 'job polarization' approach mentioned above -- do not adequately account for key wage patterns (namely, rising wage inequality) over the last three decades. (Author's abstract, IAB-Doku).
Erfasst von	Institut für Arbeitsmarkt- und Berufsforschung, Nürnberg
Update	2014/4