Closing the gender pay gap: can machine learning help

The goal of this work project is to analyze US data on wage earnings, combining machine learning and econometric methods, to understand the factors contributing to the continued existence of the pay differential between men and women. The post-double LASSO method employed in this paper allows me to...

Full description

Bibliographic Details
Main Author: Homolka, Daisy Claire (author)
Format: masterThesis
Language:eng
Published: 2022
Subjects:
Machine learning algorithms
Labor economics
Lasso
Gender pay gap
Oaxaca-blinder decomposition
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
Online Access:http://hdl.handle.net/10362/142242
Country:Portugal
Oai:oai:run.unl.pt:10362/142242

Internet

http://hdl.handle.net/10362/142242

Similar Items