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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.

Publikation lesen
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Micro Data on Robots from the IAB Establishment Panel

Verena Plümpe Jens Stegmaier

in: Jahrbücher für Nationalökonomie und Statistik, 2022

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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Explaining Wage Losses After Job Displacement: Employer Size and Lost Firm Wage Premiums

Daniel Fackler Steffen Müller Jens Stegmaier

in: Journal of the European Economic Association, Nr. 5, 2021

Abstract

This paper investigates whether wage losses after job displacement are driven by lost firm wage premiums or worker productivity depreciations. We estimate losses in wages and firm wage premiums, the latter being measured as firm effects from a two-way fixed-effects wage decomposition. Using new German administrative data on displacements from small and large employers, we find that wage losses are to a large extent explained by losses in firm wage premiums and that premium losses are largely permanent. We show that losses strongly increase with pre-displacement employer size. This provides an explanation for large and persistent wage losses reported in previous displacement studies typically focusing on large employers, only.

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Arbeitspapiere

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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.

Publikation lesen
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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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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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