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Dr. Jens Stegmaier

Dr. Jens Stegmaier
Aktuelle Position

seit 3/15

Research Affiliate

Leibniz-Institut für Wirtschaftsforschung Halle (IWH)

seit 2006

wissenschaftlicher Mitarbeiter

Institut für Arbeitsmarkt- und Berufsforschung (IAB) Nürnberg

Forschungsschwerpunkte
  • evolutorische Ökonomik

Jens Stegmaier ist seit März 2015 Research Affiliate am IWH. Seine Forschungsschwerpunkte umfassen Fragen der Evolution und des ökonomischen Scheiterns von Betrieben. Die Arbeiten beschäftigen sich mit dem Prozess des Scheiterns selbst, ebenso wie mit den Folgen für die davon betroffenen Beschäftigten bezüglich ihrer Löhne und weiterer Arbeitsmarktaspekte. Daneben bearbeitet er Fragen der industriellen Beziehungen und zu atypischer Beschäftigung.

Jens Stegmaier ist wissenschaftlicher Mitarbeiter am Institut für Arbeitsmarkt- und Berufsforschung (IAB) Nürnberg.

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Dr. Jens Stegmaier
Dr. Jens Stegmaier
Mitglied - Abteilung Strukturwandel und Produktivität
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Publikationen

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Robot Adoption at German Plants

Liuchun Deng Verena Plümpe Jens Stegmaier

in: Jahrbücher für Nationalökonomie und Statistik, im Erscheinen

Abstract

Using a newly collected dataset at the plant level from 2014 to 2018, we provide the first microscopic portrait of robotization in Germany and study the correlates of robot adoption. Our descriptive analysis uncovers five stylized facts: (1) Robot use is relatively rare. (2) The distribution of robots is highly skewed. (3) New robot adopters contribute substantially to the recent robotization. (4) Robot users are exceptional. (5) Heterogeneity in robot types matters. Our regression results further suggest plant size, high-skilled labor share, exporter status, and labor shortage to be strongly associated with the future probability of robot adoption.

Publikation lesen
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Industry Mix, Local Labor Markets, and the Incidence of Trade Shocks

Steffen Müller Jens Stegmaier Moises Yi

in: Journal of Labor Economics, im Erscheinen

Abstract

We analyze how skill transferability and the local industry mix affect the adjustment costs of workers hit by a trade shock. Using German administrative data and novel measures of economic distance we construct an index of labor market absorptiveness that captures the degree to which workers from a particular industry are able to reallocate into other jobs. Among manufacturing workers, we find that the earnings loss associated with increased import exposure is much higher for those who live in the least absorptive regions. We conclude that the local industry composition plays an important role in the adjustment processes of workers.

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Micro Data on Robots from the IAB Establishment Panel

Verena Plümpe Jens Stegmaier

in: Jahrbücher für Nationalökonomie und Statistik, Nr. 3, 2023

Abstract

Micro-data on robots have been very sparse in Germany so far. Consequently, a dedicated section has been introduced in the IAB Establishment Panel 2019 that includes questions on the number and type of robots used. This article describes the background and development of the survey questions, provides information on the quality of the data, possible checks and steps of data preparation. The resulting data is aggregated on industry level and compared with the frequently used robot data by the International Federation of Robotics (IFR) which contains robot supplier information on aggregate robot stocks and deliveries.

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Arbeitspapiere

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Safety Net or Helping Hand? The Effect of Job Search Assistance and Compensation on Displaced Workers

Daniel Fackler Jens Stegmaier Richard Upward

in: IWH Discussion Papers, Nr. 18, 2023

Abstract

We provide the first systematic evidence on the effectiveness of a contested policy in Germany to help displaced workers. So-called “transfer companies” (<i>Transfergesellschaften</i>) employ displaced workers for a fixed period, during which time workers are provided with job-search assistance and are paid a wage which is a substantial fraction of their pre-displacement wage. Using rich and accurate data on workers’ employment patterns before and after displacement, we compare the earnings and employment outcomes of displaced workers who entered transfer companies with those that did not. Workers can choose whether or not to accept a position in a transfer company, and therefore we use the availability of a transfer company at the establishment level as an IV in a model of one-sided compliance. Using an event study, we find that workers who enter a transfer company have significantly worse post-displacement outcomes, but we show that this is likely to be the result of negative selection: workers who lack good outside opportunities are more likely to choose to enter the transfer company. In contrast, ITT and IV estimates indicate that the use of a transfer company has a positive and significant effect on employment rates five years after job loss, but no significant effect on earnings. In addition, the transfer company provides significant additional compensation to displaced workers in the first 12 months after job loss.

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Robots, Occupations, and Worker Age: A Production-unit Analysis of Employment

Liuchun Deng Steffen Müller Verena Plümpe Jens Stegmaier

in: IWH Discussion Papers, Nr. 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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Identifying Bankruptcies in German Social Security Data

Daniel Fackler Eva Hank Steffen Müller Jens Stegmaier

in: FDZ-Methodenreport, Nr. 10, 2017

Abstract

In empirischen Studien über Firmenschließungen wird häufig die Notwendigkeit betont, zwischen verschiedenen Arten von Schließungen, z.B. freiwilligen und unfreiwilligen, zu unterscheiden. Dieser Methodenreport erläutert vor diesem Hintergrund, wie im Betriebs-Historik-Panel (BHP) Betriebsstillegungen aufgrund von Insolvenzen identifiziert werden können. Insolvenzen können im Gegensatz zu anderen Schließungen eindeutig als Ausdruck ökonomischen Scheiterns und somit als unfreiwillige Schließungen interpretiert werden. (Autorenreferat, IAB-Doku)

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