Robots, Occupations, and Worker Age: A Production-unit Analysis of Employment
Liuchun Deng, Steffen Müller, Verena Plümpe, Jens Stegmaier
European Economic Review,
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.
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Three Research Clusters Research Cluster "Economic Dynamics and Stability" Research Questions This cluster focuses on empirical analyses of macroeconomic dynamics and stability.…
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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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Complex-task Biased Technological Change and the Labor Market
Colin Caines, Florian Hoffmann, Gueorgui Kambourov
Review of Economic Dynamics,
April
2017
Abstract
In this paper we study the relationship between task complexity and the occupational wage- and employment structure. Complex tasks are defined as those requiring higher-order skills, such as the ability to abstract, solve problems, make decisions, or communicate effectively. We measure the task complexity of an occupation by performing Principal Component Analysis on a broad set of occupational descriptors in the Occupational Information Network (O*NET) data. We establish four main empirical facts for the U.S. over the 1980–2005 time period that are robust to the inclusion of a detailed set of controls, subsamples, and levels of aggregation: (1) There is a positive relationship across occupations between task complexity and wages and wage growth; (2) Conditional on task complexity, routine-intensity of an occupation is not a significant predictor of wage growth and wage levels; (3) Labor has reallocated from less complex to more complex occupations over time; (4) Within groups of occupations with similar task complexity labor has reallocated to non-routine occupations over time. We then formulate a model of Complex-Task Biased Technological Change with heterogeneous skills and show analytically that it can rationalize these facts. We conclude that workers in non-routine occupations with low ability of solving complex tasks are not shielded from the labor market effects of automatization.
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Labor Market Volatility, Skills, and Financial Globalization
Claudia M. Buch, C. Pierdzioch
Macroeconomic Dynamics,
No. 5,
2014
Abstract
We analyze the impact of financial globalization on volatilities of hours worked and wages of high-skilled and low-skilled workers. Using cross-country, industry-level data for the years 1970–2004, we establish stylized facts that document how volatilities of hours worked and wages of workers with different skill levels have changed over time. We then document that the volatility of hours worked by low-skilled workers has increased the most in response to the increase in financial globalization. We develop a dynamic stochastic general equilibrium model of a small open economy that is consistent with the empirical results. The model predicts that greater financial globalization increases the volatility of hours worked, and this effect is strongest for low-skilled workers.
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Has Labor Income Become More Volatile? Evidence from International Industry-Level Data
Claudia M. Buch
German Economic Review,
No. 4,
2013
Abstract
Changes in labor market institutions and the increasing integration of the world economy may affect the volatility of capital and labor incomes. This article documents and analyzes changes in income volatility using data for 11 industrialized countries, 22 industries and 35 years (1970–2004). The article has four main findings. First, the unconditional volatility of labor income has declined in parallel to the decline in macroeconomic volatility. Second, the industry-specific, idiosyncratic component of labor income volatility has hardly changed. Third, cross-sectional heterogeneity is substantial. If anything, the labor incomes of high- and low-skilled workers have become more volatile relative to the volatility of capital incomes. Fourth, the volatility of labor income relative to the volatility of capital income declines in the labor share. Trade openness has no clear-cut impact.
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Low Skill but High Volatility?
Claudia M. Buch
CESifo Working Paper No. 2665,
2009
Abstract
Globalization may impose a double-burden on low-skilled workers. On the one hand, the relative supply of low-skilled labor increases. This suppresses wages of low-skilled workers and/or increases their unemployment rates. On the other hand, low-skilled workers typically face more limited access to financial markets than high-skilled workers. This limits their ability to smooth shocks to income intertemporally and to share risks across borders. Using cross-country, industry-level data for the years 1970 - 2004, we document how the volatility of hours worked and of wages of workers at different skill levels has changed over time. We develop a stylized theoretical model that is consistent with the empirical evidence, and we test the predictions of the model. Our results show that greater financial globalization and development increases the volatility of employment, and this effect is strongest for low-skilled workers. A higher share of low-skilled employment has a dampening impact.
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The Great Risk Shift? Income Volatility in an International Perspective
Claudia M. Buch
CESifo Working Paper No. 2465,
2008
Abstract
Weakening bargaining power of unions and the increasing integration of the world economy may affect the volatility of capital and labor incomes. This paper documents and explains changes in income volatility. Using a theoretical framework which builds distribution risk into a real business cycle model, hypotheses on the determinants of the relative volatility of capital and labor are derived. The model is tested using industry-level data. The data cover 11 industrialized countries, 22 manufacturing and services industries, and a maximum of 35 years. The paper has four main findings. First, the unconditional volatility of labor and capital incomes has declined, reflecting the decline in macroeconomic volatility. Second, the idiosyncratic component of income volatility has hardly changed over time. Third, crosssectional heterogeneity in the evolution of relative income volatilities is substantial. If anything, the labor incomes of high- and low-skilled workers have become more volatile in relative terms. Fourth, income volatility is related to variables measuring the bargaining power of workers. Trade openness has no significant impact.
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Does Temporary Employment Affect the Work-related Training of Low-skilled Employees?
Eva Reinowski, Jan Sauermann
Zeitschrift für Arbeitsmarktforschung,
No. 4,
2008
Abstract
Anhand des Mikrozensus 2004 wird untersucht, ob die Befristung von Arbeitsverträgen Einfluss auf die Beteiligung geringqualifiziert Beschäftigter an beruflicher Weiterbildung hat. Zur Berücksichtigung systematischer Unterschiede zwischen befristet und unbefristet Beschäftigten wird für die Analyse ein rekursives bivariates Probitmodell eingesetzt. Es wird kein systematischer Nachteil einer Befristung für geringqualifiziert Beschäftigte beim Zugang zu beruflicher Weiterbildung festgestellt.
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