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

Michael Koch; Ilya Manuylov

doi:10.1016/j.respol.2023.104848

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

^*Corresponding author af dette arbejde

Institut for Økonomi

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avis › Tidsskriftartikel › Forskning › peer review

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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.

Originalsprog	Engelsk
Artikelnummer	104848
Tidsskrift	Research Policy
Vol/bind	52
Nummer	9
Antal sider	10
ISSN	0048-7333
DOI	https://doi.org/10.1016/j.respol.2023.104848
Status	Udgivet - nov. 2023

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10.1016/j.respol.2023.104848Licens: CC BY

1-s2.0-S0048733323001324-mainForlagets udgivne version, 716 KBLicens: CC BY

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

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