We study how various types of machines, namely, information and communication technologies, software and especially industrial robots, affect the demand for workers of different education, age and gender. We do so by exploiting differences in the composition of workers across countries, industries and time. Our data set comprises 10 high-income countries and 30 industries, which span roughly their entire economies, with annual observations over the period 1982–2005. The results suggest that software and robots reduced the demand for low- and medium-skill workers, the young and women – especially in manufacturing industries; but raised the demand for high-skill workers, older workers and men – especially in service industries. These findings are consistent with the hypothesis that automation technologies, contrary to other types of capital, replace humans performing routine tasks. We also find evidence for some types of workers, especially women, having shifted away from such tasks.

Blanas, S., Gancia, G., Lee, S. (2019). Who is afraid of machines?. ECONOMIC POLICY, 34(100), 627-690 [10.1093/EPOLIC/EIAA005].

Who is afraid of machines?

Gancia G.
;
2019

Abstract

We study how various types of machines, namely, information and communication technologies, software and especially industrial robots, affect the demand for workers of different education, age and gender. We do so by exploiting differences in the composition of workers across countries, industries and time. Our data set comprises 10 high-income countries and 30 industries, which span roughly their entire economies, with annual observations over the period 1982–2005. The results suggest that software and robots reduced the demand for low- and medium-skill workers, the young and women – especially in manufacturing industries; but raised the demand for high-skill workers, older workers and men – especially in service industries. These findings are consistent with the hypothesis that automation technologies, contrary to other types of capital, replace humans performing routine tasks. We also find evidence for some types of workers, especially women, having shifted away from such tasks.
Articolo in rivista - Articolo scientifico
machines, wages, employment
English
2019
34
100
627
690
reserved
Blanas, S., Gancia, G., Lee, S. (2019). Who is afraid of machines?. ECONOMIC POLICY, 34(100), 627-690 [10.1093/EPOLIC/EIAA005].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/396704
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