Robots, Occupations, and Worker Age: A Production-unit Analysis of Employment
Liuchun Deng, Steffen Müller, Verena Plümpe, Jens Stegmaier
European Economic Review,
November
2024
Abstract
We analyse the impact of robot adoption on employment composition using novel micro data on robot use in German manufacturing plants linked with social security records and data on job tasks. Our task-based model predicts more favourable employment effects for the least routine-task intensive occupations and for young workers, with the latter being better at adapting to change. An event-study analysis of robot adoption confirms both predictions. We do not find adverse employment effects for any occupational or age group, but churning among low-skilled workers rises sharply. We conclude that the displacement effect of robots is occupation biased but age neutral, whereas the reinstatement effect is age biased and benefits young workers most.
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Robots, Occupations, and Worker Age: A Production-unit Analysis of Employment
Liuchun Deng, Steffen Müller, Verena Plümpe, Jens Stegmaier
IWH Discussion Papers,
No. 5,
2023
Abstract
We analyse the impact of robot adoption on employment composition using novel micro data on robot use in German manufacturing plants linked with social security records and data on job tasks. Our task-based model predicts more favourable employment effects for the least routine-task intensive occupations and for young workers, with the latter being better at adapting to change. An event-study analysis of robot adoption confirms both predictions. We do not find adverse employment effects for any occupational or age group, but churning among low-skilled workers rises sharply. We conclude that the displacement effect of robots is occupation biased but age neutral, whereas the reinstatement effect is age biased and benefits young workers most.
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Complex-task Biased Technological Change and the Labor Market
Colin Caines, Florian Hoffmann, Gueorgui Kambourov
Review of Economic Dynamics,
April
2017
Abstract
In this paper we study the relationship between task complexity and the occupational wage- and employment structure. Complex tasks are defined as those requiring higher-order skills, such as the ability to abstract, solve problems, make decisions, or communicate effectively. We measure the task complexity of an occupation by performing Principal Component Analysis on a broad set of occupational descriptors in the Occupational Information Network (O*NET) data. We establish four main empirical facts for the U.S. over the 1980–2005 time period that are robust to the inclusion of a detailed set of controls, subsamples, and levels of aggregation: (1) There is a positive relationship across occupations between task complexity and wages and wage growth; (2) Conditional on task complexity, routine-intensity of an occupation is not a significant predictor of wage growth and wage levels; (3) Labor has reallocated from less complex to more complex occupations over time; (4) Within groups of occupations with similar task complexity labor has reallocated to non-routine occupations over time. We then formulate a model of Complex-Task Biased Technological Change with heterogeneous skills and show analytically that it can rationalize these facts. We conclude that workers in non-routine occupations with low ability of solving complex tasks are not shielded from the labor market effects of automatization.
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Does temporary employment influence the workrelated training of low-skilled employees?
Eva Reinowski, Jan Sauermann
IWH Discussion Papers,
No. 2,
2008
Abstract
Ähnlich wie in anderen europäischen Ländern wurde der Einsatz von befristeten Beschäftigungsverhältnissen in Deutschland seit den 1980ern vereinfacht. Als Folge dieser Vereinfachungen nimmt die Bedeutung dieser Beschäftigungsform als Instrument zur Flexibilisierung der Arbeitsnachfrage gerade bei geringqualifiziert Beschäftigten zu. Obwohl die Möglichkeit von Befristungen Chancen für Arbeitgeber und Arbeitnehmer eröffnet, wird in der Literatur argumentiert, dass befristete Beschäftigungsverhältnisse eine Art „Sackgasse“ darstellen und mit geringeren Investitionen in berufliche Weiterbildung verbunden sind. In diesem Beitrag wird anhand der Daten des Mikrozensus 2004 untersucht, welchen Einfluss befristete Arbeitsverträge auf die Beteiligung an beruflicher Weiterbildung geringqualifiziert beschäftigter Personen haben. Die empirische Analyse wird mit Hilfe eines rekursiven bivariaten Probitmodells durchgeführt. Aus den Ergebnissen lässt sich schließen, dass geringqualifiziert Beschäftigte mit befristeten Arbeitsverträgen keinen systematischen Nachteil gegenüber unbefristet Beschäftigten beim Zugang zu beruflicher Weiterbildung haben.
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