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...

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Detalhes bibliográficos
Autor principal: Homolka, Daisy Claire (author)
Formato: masterThesis
Idioma:eng
Publicado em: 2022
Assuntos:
Texto completo:http://hdl.handle.net/10362/142242
País:Portugal
Oai:oai:run.unl.pt:10362/142242