Measuring the technological bias of robot adoption and its implications for the aggregate labor share

Michael Koch and Ilya Manuylov

Research Policy, 2023, vol. 52, issue 9

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.

Keywords: Robots; Automation; Technological change; Productivity; Labor share (search for similar items in EconPapers)
JEL-codes: D24 J24 O33 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:respol:v:52:y:2023:i:9:s0048733323001324

DOI: 10.1016/j.respol.2023.104848

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