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Robot Adoption at German Plants
Liuchun Deng, Verena Plümpe, Jens Stegmaier
Jahrbücher für Nationalökonomie und Statistik, forthcoming
Abstract
Using a newly collected dataset at the plant level from 2014 to 2018, we provide the first microscopic portrait of robotization in Germany and study the correlates of robot adoption. Our descriptive analysis uncovers five stylized facts: (1) Robot use is relatively rare. (2) The distribution of robots is highly skewed. (3) New robot adopters contribute substantially to the recent robotization. (4) Robot users are exceptional. (5) Heterogeneity in robot types matters. Our regression results further suggest plant size, high-skilled labor share, exporter status, and labor shortage to be strongly associated with the future probability of robot adoption.
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Industry Mix, Local Labor Markets, and the Incidence of Trade Shocks
Steffen Müller, Jens Stegmaier, Moises Yi
Journal of Labor Economics, forthcoming
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
Jahrbücher für Nationalökonomie und Statistik, No. 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
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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Explaining Wage Losses After Job Displacement: Employer Size and Lost Firm Wage Premiums
Daniel Fackler, Steffen Müller, Jens Stegmaier
Journal of the European Economic Association, No. 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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Why Is there Resistance to Works Councils In Germany? An Economic Perspective
Steffen Müller, Jens Stegmaier
Economic and Industrial Democracy, No. 3, 2020
Abstract
Recent empirical research generally finds evidence of positive economic effects for works councils, for example with regard to productivity and – with some limitations – to profits. This makes it necessary to explain why employers’ associations have reservations about works councils. On the basis of an in-depth literature analysis, this article shows that beyond the generally positive findings, there are important heterogeneities in the impact of works councils. The authors argue that those groups of employers that tend to benefit little from employee participation in terms of productivity and profits may well be important enough to shape the agenda of their employers’ organization and have even gained in importance within their organizations in recent years. The authors also discuss the role of deviations from profit-maximizing behavior like risk aversion, short-term profit-maximization and other non-pecuniary motives, as possible reasons for employer resistance.
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Does Extended Unemployment Benefit Duration Ameliorate the Negative Employment Effects of Job Loss?
Daniel Fackler, Jens Stegmaier, Eva Weigt
Labour Economics, 2019
Abstract
We study the effect of job displacement due to bankruptcies on earnings and employment prospects of displaced workers and analyse whether extended potential unemployment benefit duration (PBD) ameliorates the negative consequences of job loss. Using German administrative linked employer-employee data, we find that job loss has long-lasting negative effects on earnings and employment. Displaced workers also more often end up in irregular employment relationships (part-time, marginal part-time employment, and temporary agency work) than their non-displaced counterparts. Applying a regression discontinuity approach that exploits a three months PBD extension at the age threshold of 50 we find hardly any effects of longer PBD on labour market outcomes of displaced workers.
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Plant-level Employment Development before Collective Displacements: Comparing Mass Layoffs, Plant Closures and Bankruptcies
Daniel Fackler, Steffen Müller, Jens Stegmaier
Applied Economics, No. 50, 2018
Abstract
This article analyzes the development of employment levels and worker flows before bankruptcies, plant closure without bankruptcies and mass layoffs. Utilizing administrative plant-level data for Germany, we find no systematic employment reductions prior to mass layoffs, a strong and long-lasting reduction prior to closures, and a much shorter shadow of death preceding bankruptcies. Employment reductions in closing plants, in contrast to bankruptcies and mass layoffs, do not come along with increased worker flows. These patterns point to an intended and controlled shrinking strategy for closures without bankruptcy and to an unintended collapse for bankruptcies and mass layoffs.
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The Dynamic Effects of Works Councils on Plant Productivity: First Evidence from Panel Data
Steffen Müller, Jens Stegmaier
British Journal of Industrial Relations, No. 2, 2017
Abstract
We estimate dynamic effects of works councils on labour productivity using newly available information from West German establishment panel data. Conditioning on plant fixed effects and control variables, we find negative productivity effects during the first five years after council introduction but a steady and substantial increase in the councils’ productivity effect thereafter. Our findings support a causal interpretation for the positive correlation between council existence and plant productivity that has been frequently reported in previous studies.
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Transferability of Skills across Sectors and Heterogeneous Displacement Costs
Moises Yi, Steffen Müller, Jens Stegmaier
American Economic Review: Papers and Proceedings, No. 5, 2017
Abstract
We use rich German administrative data to estimate new measures of skill transferability between manufacturing and other sectors. These measures capture the value of workers' human capital when applied in different sectors and are directly related to workers' displacement costs. We estimate these transferability measures using a selection correction model, which addresses workers' endogenous mobility, and a novel selection instrument based on the social network of workers. Our results indicate substantial heterogeneity in how workers can transfer their skills when they move across sectors, which implies heterogeneous displacement costs that depend on the sector to which workers reallocate.
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