Will robot replace workers? Assessing the impact of robots on employment and wages with meta-analysis
Dario Guarascio,
Alessandro Piccirillo and
Jelena Reljic
LEM Papers Series from Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy
Abstract:
This study conducts a meta-analysis to assess the effects of robotization on employment and wages, compiling data from 33 studies with 644 estimates on employment and a subset of 19 studies with 195 estimates on wages. We identify a publication bias towards negative outcomes, especially concerning wages. After correcting for this bias, the actual impact appears minimal. Thus, concerns about the disruptive effects of robots on employment and the risk of widespread technological unemployment may be exaggerated or not yet empirically supported. While this does not preclude that robots will be capable of gaining greater disruptive potential in the future or that they are not already disruptive in specific contexts, the evidence to date suggests their aggregate effect is negligible.
Keywords: robots; employment; wages; meta-analysis; publication bias (search for similar items in EconPapers)
Date: 2024-02-09
New Economics Papers: this item is included in nep-tid
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.lem.sssup.it/WPLem/files/2024-03.pdf (application/pdf)
Related works:
Working Paper: Will robot replace workers? Assessing the impact of robots on employment and wages with meta-analysis (2024) 
Working Paper: Will robot replace workers? Assessing the impact of robots on employment and wages with meta-analysis (2024) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ssa:lemwps:2024/03
Access Statistics for this paper
More papers in LEM Papers Series from Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy Contact information at EDIRC.
Bibliographic data for series maintained by ( this e-mail address is bad, please contact ).