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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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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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Robots and Female Employment in German Manufacturing

Liuchun Deng Steffen Müller Verena Plümpe Jens Stegmaier

in: American Economic Association Papers and Proceedings, May 2023

Abstract

We analyze the impact of robot adoption on female employment. Our analysis is based on novel micro data on robot use by German manufacturing establishments linked with social security records. An event study analysis for robot adoption shows increased churning among female workers. Whereas hiring rises significantly at robot adoption, separations increase with a smaller magnitude one year later. Overall, employment effects are modestly positive and strongest for medium-qualified women. We find no adverse employment effects for female workers in any of our broad qualification groups. 

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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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Robot Adoption at German Plants

Liuchun Deng Verena Plümpe Jens Stegmaier

in: IWH Discussion Papers, Nr. 19, 2020

Abstract

Using a newly collected dataset of robot use at the plant level from 2014 to 2018, we provide the first microscopic portrait of robotisation in Germany and study the potential determinants of robot adoption. Our descriptive analysis uncovers five stylised facts concerning both extensive and, perhaps more importantly, intensive margin of plant-level robot use: (1) Robot use is relatively rare with only 1.55% German plants using robots in 2018. (2) The distribution of robots is highly skewed. (3) New robot adopters contribute substantially to the recent robotisation. (4) Robot users are exceptional along several dimensions of plant-level characteristics. (5) Heterogeneity in robot types matters. Our regression results further suggest plant size, low-skilled labour share, and exporter status to have strong and positive effect on future probability of robot adoption. Manufacturing plants impacted by the introduction of minimum wage in 2015 are also more likely to adopt robots. However, controlling for plant size, we find that plant-level productivity has no, if not negative, impact on robot adoption.

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