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%T Robots at Work? Pitfalls of Industry Level Data
%A Bekhtiar, Karim
%A Bittschi, Benjamin
%A Sellner, Richard
%P 32
%V 30
%D 2021
%~ IHS (Wien)
%> https://nbn-resolving.org/urn:nbn:de:0168-ssoar-73481-7
%X In a seminal paper Graetz and Michaels (2018) find that robots increase labor productivity and TFP, lower output prices and adversely affect the employment share of low-skilled labor. We show that these effects hold only, when comparing hardly-robotizing with highly-robotizing sectors and collapse, when only the latter are analyzed. Controlling for demographic workforce variables reestablishes the productivity effects, but still rejects positive wage effects and skill-biased technological change. Additionally, we find no effects, when the investigation period is extended to the most recent data (2008-2015) and document non-monotonicity in one of the instruments, which calls the respective results into question.
%C AUT
%C Wien
%G en
%9 Arbeitspapier
%W GESIS - http://www.gesis.org
%~ SSOAR - http://www.ssoar.info