IWH Industry Survey
IWH Industry Survey From 1993 until the first quarter of 2017, the IWH conducted regular surveys among companies. The results of these surveys could be used to promptly describe…
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IWH Construction Survey
IWH Construction Survey From 1993 until the first quarter of 2017, the IWH conducted regular surveys among companies. The results of these surveys could be used to promptly…
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Macroeconomic Reports
Macroeconomic Reports Local and global: IWH regularly provides current economic data - be it about the state of the East German economy, the macroeconomic development in Germany…
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Research Data Centre
Research Data Centre The IWH Research Data Centre provides external scientists with data for non-commercial research. The research data centre of the IWH was accredited by RatSWD…
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IWH-indicators for East Germany
IWH-indicators for East Germany Go to data These time series are or were collected or estimated by the IWH: Quarterly GDP in East Germany (estimation by the IWH) Quarterly GDP in…
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Minimum Wages, Productivity, and Reallocation
Mirja Hälbig, Matthias Mertens, Steffen Müller
IZA Discussion Paper,
No. 16160,
2023
Abstract
We study the productivity effect of the German national minimum wage by applying administrative firm data. At the firm level, we confirm positive effects on wages and negative employment effects and document higher productivity even net of output price increases. We find higher wages but no employment effects at the level of aggregate industry × region cells. The minimum wage increased aggregate productivity in manufacturing. We do not find that employment reallocation across firms contributed to these aggregate productivity gains, nor do we find improvements in allocative efficiency. Instead, the productivity gains from the minimum wage result from within-firm productivity improvements only.
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The Characteristics and Geographic Distribution of Robot Hubs in U.S. Manufacturing Establishments
Erik Brynjolfsson, Catherine Buffington, Nathan Goldschlag, J. Frank Li, Javier Miranda, Robert Seamans
American Economic Association Papers and Proceedings,
May
2023
Abstract
We use establishment-level data from the US Census Bureau's Annual Survey of Manufactures to study the characteristics and geographic locations of investments in robots. We find that the distribution of robots is highly skewed across locations. Some locations, which we call Robot Hubs, have far more robots than one would expect even after accounting for industry and manufacturing employment. We characterize these Robot Hubs along several industry, demographic, and institutional dimensions. The presences of robot integrators, which specialize in helping manufacturers install robots, and of higher levels of union membership are positively correlated with being a Robot Hub.
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The Characteristics and Geographic Distribution of Robot Hubs in U.S. Manufacturing Establishments
Erik Brynjolfsson, Catherine Buffington, Nathan Goldschlag, J. Frank Li, Javier Miranda, Robert Seamans
Abstract
We use data from the Annual Survey of Manufactures to study the characteristics and geography of investments in robots across U.S. manufacturing establishments. We find that robotics adoption and robot intensity (the number of robots per employee) is much more strongly related to establishment size than age. We find that establishments that report having robotics have higher capital expenditures, including higher information technology (IT) capital expenditures. Also, establishments are more likely to have robotics if other establishments in the same Core-Based Statistical Area (CBSA) and industry also report having robotics. The distribution of robots is highly skewed across establishments’ locations. Some locations, which we call Robot Hubs, have far more robots than one would expect even after accounting for industry and manufacturing employment. We characterize these Robot Hubs along several industry, demographic, and institutional dimensions. The presence of robot integrators and higher levels of union membership are positively correlated with being a Robot Hub.
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Robots, Occupations, and Worker Age: A Production-unit Analysis of Employment
Liuchun Deng, Steffen Müller, Verena Plümpe, Jens Stegmaier
IWH Discussion Papers,
No. 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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21.06.2022 • 14/2022
War drives up energy prices ‒ High inflation weighs on economy
While the lifting of nationwide coronavirus regulations boosts many service sectors such as the hospitality industry, supply bottlenecks are likely to weigh on the manufacturing sector throughout the summer and high inflation will dampen private consumption. Gross domestic product (GDP) in Germany is expected to decline slightly in the second quarter of 2022. The situation in the manufacturing sector is expected to ease towards the end of the year. The Halle Institute for Economic Research (IWH) forecasts that GDP will increase by 1.5% in 2022, following an increase by 2.9% in 2021. In East Germany, GDP will increase by 1%.
Oliver Holtemöller
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