Titelaufnahme

Titel
How do automation and offshorability influence unemployment duration and subsequent job quality? / Bernhard Schmidpeter (ISER, University of Essex), Rudolf Winter-Ebmer (CD-Lab, Johannes Kepler University Linz, IZA, IHS, CEPR and CReAM) ; IZA Institute of Labor Economics
VerfasserSchmidpeter, Bernhard ; Winter-Ebmer, Rudolf
KörperschaftForschungsinstitut zur Zukunft der Arbeit
ErschienenBonn, Germany : IZA Institute of Labor Economics, August 2018
Ausgabe
Elektronische Ressource
Umfang1 Online-Ressource (32, 4 Seiten) : Diagramme
SerieDiscussion paper ; no. 11736
URNurn:nbn:de:hbz:5:2-164137 
Zugriffsbeschränkung
 Das Dokument ist öffentlich zugänglich im Rahmen des deutschen Urheberrechts.
Volltexte
How do automation and offshorability influence unemployment duration and subsequent job quality? [0.43 mb]
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Zusammenfassung (Englisch)

We analyze the effect of automation and offshorability on unemployment duration and post-unemployment outcomes such as wages and employment stability. Our rich administrative data allow us to evaluate the importance of providing unemployment training in this context. Employing a multivariate mixed proportional hazard model to deal with selectivity, we find that both the routine content in tasks as well as the probability of off-shoring negatively affects the re-employment possibilities. Labor market training is helping workers to ameliorate these negative effects and is remarkably on the spot. For workers who find re-employment, our results show that offshorability (but not automation) affects future job duration and wages positively. Our analysis reveals interesting differences by gender.