The gender wealth gap in Europe: Application of machine learning to predict individual-level wealth
author
Kukk, Merike
Meriküll, Jaanika
Rõõm, Tairi
statement of authorship
Merike Kukk, Jaanika Meriküll, Tairi Rõõm
source
Review of income and wealth
publisher
Wiley
journal volume number month
vol. 69, 2
year of publication
2023
pages
p. 289 - 317
url
https://doi.org/10.1111/roiw.12596
subject term
sooline palgalõhe
ebavõrdsus
tehisõpe
jõukus
keyword
gender gap
inequality
machine learning (ML)
random forests
wealth distribution
ISSN
0034-6586
notes
Bibliogr.: 55 ref
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
https://www.scopus.com/sourceid/20142
https://www.scopus.com/record/display.uri?eid=2-s2.0-85131719129&origin=inward&txGid=07a91e91a05d19825df6571aa748a279
WOS
https://jcr.clarivate.com/jcr-jp/journal-profile?journal=REV%20INCOME%20WEALTH&year=2023
https://www.webofscience.com/wos/woscc/full-record/WOS:000810349100001
category (general)
Economics, econometrics and finance
Majandus, ökonomeetria ja rahandus
category (sub)
Economics, econometrics and finance. Economics and econometrics
Majandus, ökonomeetria ja rahandus. Majandus ja ökonomeetria
quartile
Q1
TalTech department
majandusanalüüsi ja rahanduse instituut
language
inglise
Reserch Group
Knowledge intensity and socio-economic inclusion for promoting sustained development
Economic performance: integration, governance and policy