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Measuring the Technological Bias of Robot Adoption and its Implications for the Aggregate Labor Share
- Source :
- Koch, M J & Manuylov, I 2022 ' Measuring the Technological Bias of Robot Adoption and its Implications for the Aggregate Labor Share ' Economics Working Papers, no. 2022-01, Aarhus Universitet, Aarhus .
- Publication Year :
- 2022
- Publisher :
- Aarhus Universitet, 2022.
-
Abstract
- This paper investigates the technological bias of robot adoption using a rich panel data set of Spanish manufacturing firms over a 25-year period. We apply the production function estimation when productivity is multidimensional to the case of an automating technology, to reveal the Hicks-neutral and labor-augmenting technological change brought about by robot adoption within firms. Our results indicate a causal effect of robots on Hicks-neutral and labor-augmenting components of productivity. The biased technological change turns out to be an important determinant of the decline in the aggregate share of labor in the Spanish manufacturing sector.
- Subjects :
- Automation
Technological change
Labor share
Robots
Productivity
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Koch, M J & Manuylov, I 2022 ' Measuring the Technological Bias of Robot Adoption and its Implications for the Aggregate Labor Share ' Economics Working Papers, no. 2022-01, Aarhus Universitet, Aarhus .
- Accession number :
- edsair.dedup.wf.001..1824318701f1860672b28fb765d63919