Robots, Occupations, and Worker Age: A Production-unit Analysis of Employment
IWH Discussion Papers,
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.
IWH FDI Micro Database
IWH FDI Micro Database The IWH FDI Micro Database (FDI = Foreign Direct...
Birds, Birds, Birds: Co-worker Similarity, Workplace Diversity and Job Switches
British Journal of Industrial Relations,
We investigate how the demographic composition of the workforce along the sex, nationality, education, age and tenure dimensions affects job switches. Fitting duration models for workers’ job‐to‐job turnover rate that control for workplace fixed effects in a representative sample of large manufacturing plants in Germany during 1975–2016, we find that larger co‐worker similarity in all five dimensions substantially depresses job‐to‐job moves, whereas workplace diversity is of limited importance. In line with conventional wisdom, which has that birds of a feather flock together, our interpretation of the results is that workers prefer having co‐workers of their kind and place less value on diverse workplaces.
Alterung und technologisches Innovationspotential. Eine Linked Employer-Employee Analyse
Zeitschrift für Bevölkerungswissenschaft,
Growth in advanced economies is essentially driven by innovation activities. The question rises from a demographic point of view as to whether the trend of an ageing workforce will affect the innovation capacities of these economies. To answer this question, the paper examines on the basis of a German linked-employer-employee-dataset whether an older workforce lowers a firm’s potential to generate product innovations. The empirical approach is based on an Ordered-logit regression model, relating a firm’s innovation potential to the age composition of its employees. The analysis provides evidence of significant age effects. The estimated age-innovation-profile follows an inverted U-shaped pattern, it peaks at the age of about 40 years. A separate estimation shows that technicians and engineers age seems to be particularly relevant.
Alterung und technologisches Innovationspotential : Eine Linked-Employer-Employee-Analyse
IWH Discussion Papers,
Growth in advanced economies is essentially driven by innovation activities. From a demographic point of view the question rises, whether the trend of an ageing workforce will affect the innovation capacities of these economies. To answer this question, the paper examines on the basis of a German linked-employer-employee-dataset, whether an older workforce lowers a firm’s potential to generate product innovations. The empirical approach is based on an Ordered-logit regression model, relating a firm’s innovation potential to the age composition of its employees. The analysis provides evidence of significant age effects. The estimated age-innovation-profile follows an inverted-ushaped pattern, it peaks at the age of about 40 years. A separate estimation shows, that the technician’s and engineer’s age seems to be particularly relevant.
Mit 55 zum alten Eisen? Eine Analyse des Alterseinflusses auf die Produktivität anhand des LIAB
Zeitschrift für Arbeitsmarktforschung,
"Against the background of an aging labor force in Germany and insufficient job opportunities for older people, the paper raises the question as to how age affects the productivity of workers. Due to opposite developments of certain human abilities across the life span, gerontological research supports the hypothesis of an inverted u-shaped age-productivity profile. Middle aged workers are supposed to achieve the highest productivity level, whereas both young and old employees should show lower productivity levels. The analysis is carried out on the basis of a new linked employer-employee dataset of the Institute for Employment Research (LIAB). Within a production function framework it is tested econometrically whether the age composition of a firm's workforce affects its productivity and if so in what way. The regressions are carried out separately for the manufacturing and the service sectors. The cross-section estimations of the year 2003 reveal a positive correlation between firm productivity and the share of middle-aged employees (35-44 years old). Furthermore, in the manufacturing sector, a negative correlation between productivity and the proportion of the youngest age group (15-24 years old) can be seen. Thus the results provide evidence of an inverted u-shaped age-productivity profile in this sector. In the service sector, in contrast, the share of the youngest workers seems to increase productivity compared to the reference group of the 55-64 year-old employees.