Archive
Media Response Archive 2021 2020 2019 2018 2017 2016 December 2021 IWH: Ausblick auf Wirtschaftsjahr 2022 in Sachsen mit Bezug auf IWH-Prognose zu Ostdeutschland: "Warum Sachsens…
See page
Overview
About the project Project Information: ProdTool – NPB 2.0: Micro-Data Analysis Tool 2.0 for comparative productivity studies at National Productivity Boards (Project acronym:…
See page
Overview
About the project Project Information: Microdata platform for productivity Participating Countries: Slovakia, Slovenia, France, Germany, Portugal, Latvia and Austria. Coordinated…
See page
Trade and Competitiveness
Trade and Competitiveness The investigation delves into the mechanisms through which productivity diffuses within Global Value Chains (GVC), assessing how national firms respond…
See page
Centre for Business and Productivity Dynamics
Centre for Business and Productivity Dynamics (IWH-CBPD) The Centre for Business and Productivity Dynamics (CBPD) was founded in January 2025 and works with policy and research…
See page
IWH-DPE in a Nutshell
IWH-DPE in a Nutshell The IWH Doctoral Programme in Economics (IWH-DPE) is the unit that organises the education of doctoral students at the IWH in close cooperation with partner…
See page
East Germany
The Nasty Gap 30 years after unification: Why East Germany is still 20% poorer than the West Dossier In a nutshell The East German economic convergence process is hardly…
See page
The Network
About IWH CompNet The Competitiveness Research Network (CompNet) is a leading European research initiative dedicated to advancing the understanding of competitiveness and…
See page
Policy Output
Reports › CompNet’s flagship and special reports provide in-depth, data-driven analysis on productivity, competitiveness, and related economic trends, using the latest CompNet…
See page
Robots, Occupations, and Worker Age: A Production-unit Analysis of Employment
Liuchun Deng, Steffen Müller, Verena Plümpe, Jens Stegmaier
European Economic Review,
Vol. 170 (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.
Read article
