Gender differences in under-reporting hiring discrimination in Korea: a machine learning approach

OBJECTIVES: This study was conducted to examine gender differences in under-reporting hiring discrimination by building a prediction model for workers who responded “not applicable (NA)” to a question about hiring discrimination despite being eligible to answer. METHODS: Using data from 3,576 wage w...

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Detalles Bibliográficos
Autores principales: Yoon, Jaehong, Kim, Ji-Hwan, Chung, Yeonseung, Park, Jinsu, Sorensen, Glorian, Kim, Seung-Sup
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Epidemiology 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8920741/
https://www.ncbi.nlm.nih.gov/pubmed/34809416
http://dx.doi.org/10.4178/epih.e2021099

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8920741/
https://www.ncbi.nlm.nih.gov/pubmed/34809416
http://dx.doi.org/10.4178/epih.e2021099

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