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Verena Plümpe

Verena Plümpe
Aktuelle Position

seit 7/19

Wissenschaftliche Mitarbeiterin der Abteilung Strukturwandel und Produktivität

Leibniz-Institut für Wirtschaftsforschung Halle (IWH)

Forschungsschwerpunkte
  • betriebliche Produktivität
  • Globalisierung
  • Strukturwandel

Verena Plümpe ist seit Juli 2019 Doktorandin in der Abteilung Strukturwandel und Produktivität. Sie forscht zu den Auswirkungen von Automatisierungstechnologien auf Produktivität und Arbeitsergebnisse.

Verena Plümpe studierte an der Humboldt-Universität zu Berlin sowie an der Universität Leipzig.

Ihr Kontakt

Verena Plümpe
Verena Plümpe
Mitglied - Abteilung Strukturwandel und Produktivität
Nachricht senden +49 345 7753-705 Persönliche Seite

Publikationen

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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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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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