EconPapers    
Economics at your fingertips  
 

Testing the automation revolution hypothesis

Keller Scholl and Robin Hanson

Economics Letters, 2020, vol. 193, issue C

Abstract: Wages and employment predict automation in 832 U.S. jobs, 1999 to 2019, but add little to top 25 O*NET job features, whose best predictive model did not change over this period. Automation changes predict changes in neither wages nor employment.

Keywords: Automation; Wages; Employment; Occupations; Artificial intelligence; Technology (search for similar items in EconPapers)
JEL-codes: E24 J22 J23 J24 O33 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0165176520301919
Full text for ScienceDirect subscribers only

Related works:
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:eee:ecolet:v:193:y:2020:i:c:s0165176520301919

DOI: 10.1016/j.econlet.2020.109287

Access Statistics for this article

Economics Letters is currently edited by Economics Letters Editorial Office

More articles in Economics Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-31
Handle: RePEc:eee:ecolet:v:193:y:2020:i:c:s0165176520301919