Sorting multidimensional types. Theory and application.

Autor/in	Lindenlaub, Ilse
Titel	Sorting multidimensional types. Theory and application. Gefälligkeitsübersetzung: Die Zuordnung multidimensionaler Typen. Theorie und Anwendung.
Quelle	In: The review of economic studies, 84 (2017) 2, S. 718-789 PDF als Volltext Link als defekt meldenVerfügbarkeit
Sprache	englisch
Dokumenttyp	online; gedruckt; Zeitschriftenaufsatz
ISSN	0034-6526; 0034-6527; 1467-937X
DOI	10.1093/restud/rdw063
Schlagwörter	Kognitive Kompetenz; Technologische Entwicklung; Qualifikationsanpassung; Qualifikationsmerkmal; Qualifikationsstruktur; Tätigkeitsmerkmal; Heterogenität; Manuelle Arbeit; Qualifikationsentwicklung; USA
Abstract	"This article studies multidimensional matching between workers and jobs. Workers differ in manual and cognitive skills and sort into jobs that demand different combinations of these two skills. To study this multidimensional sorting problem, I develop a theoretical framework that generalizes the unidimensional notion of assortative matching and sufficient conditions on the technology under which sorting obtains. I derive the equilibrium in closed form and use this explicit solution to study biased technological change. The main finding is that an increase in worker-job complementarities in cognitive relative to manual inputs leads to more pronounced sorting and wage inequality across cognitive relative to manual skills. This can trigger wage polarization and boost aggregate wage inequality. I then estimate the model for the U.S. and identify sizable technology shifts: during the last two decades, worker-job complementarities in cognitive inputs strongly increased, whereas complementarities in manual inputs decreased. In addition to this bias in complementarities, there has been a cognitive skill-bias in production. Counterfactual exercises suggest that these technology shifts (as opposed to changes in skill supply and demand) can account for observed changes in worker-job sorting, wage polarization and a significant part of the increase in U.S. wage dispersion." (Author's abstract, IAB-Doku).
Erfasst von	Institut für Arbeitsmarkt- und Berufsforschung, Nürnberg
Update	2017/4