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The effects of skin tone, height, and gender on earnings

Using a theoretical approach grounded in implicit bias and stereotyping theories, this study examines the relationship between observable physical characteristics (skin tone, height, and gender) and earnings, as measured by income. Combining separate streams of research on the influence of these thr...

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Detalles Bibliográficos
Autores principales: Devaraj, Srikant, Quigley, Narda R., Patel, Pankaj C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5749813/
https://www.ncbi.nlm.nih.gov/pubmed/29293634
http://dx.doi.org/10.1371/journal.pone.0190640
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author Devaraj, Srikant
Quigley, Narda R.
Patel, Pankaj C.
author_facet Devaraj, Srikant
Quigley, Narda R.
Patel, Pankaj C.
author_sort Devaraj, Srikant
collection PubMed
description Using a theoretical approach grounded in implicit bias and stereotyping theories, this study examines the relationship between observable physical characteristics (skin tone, height, and gender) and earnings, as measured by income. Combining separate streams of research on the influence of these three characteristics, we draw from a sample of 31,356 individual-year observations across 4,340 individuals from the National Longitudinal Study of Youth (NLSY) 1997. We find that skin tone, height, and gender interact such that taller males with darker skin tone attain lower earnings; those educated beyond high school, endowed with higher cognitive ability, and at the higher income level (>75(th) percentile) had even lower levels of earnings relative to individuals with lighter skin tone. The findings have implications for implicit bias theories, stereotyping, and the human capital literature within the fields of management, applied psychology, and economics.
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spelling pubmed-57498132018-01-26 The effects of skin tone, height, and gender on earnings Devaraj, Srikant Quigley, Narda R. Patel, Pankaj C. PLoS One Research Article Using a theoretical approach grounded in implicit bias and stereotyping theories, this study examines the relationship between observable physical characteristics (skin tone, height, and gender) and earnings, as measured by income. Combining separate streams of research on the influence of these three characteristics, we draw from a sample of 31,356 individual-year observations across 4,340 individuals from the National Longitudinal Study of Youth (NLSY) 1997. We find that skin tone, height, and gender interact such that taller males with darker skin tone attain lower earnings; those educated beyond high school, endowed with higher cognitive ability, and at the higher income level (>75(th) percentile) had even lower levels of earnings relative to individuals with lighter skin tone. The findings have implications for implicit bias theories, stereotyping, and the human capital literature within the fields of management, applied psychology, and economics. Public Library of Science 2018-01-02 /pmc/articles/PMC5749813/ /pubmed/29293634 http://dx.doi.org/10.1371/journal.pone.0190640 Text en © 2018 Devaraj et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Devaraj, Srikant
Quigley, Narda R.
Patel, Pankaj C.
The effects of skin tone, height, and gender on earnings
title The effects of skin tone, height, and gender on earnings
title_full The effects of skin tone, height, and gender on earnings
title_fullStr The effects of skin tone, height, and gender on earnings
title_full_unstemmed The effects of skin tone, height, and gender on earnings
title_short The effects of skin tone, height, and gender on earnings
title_sort effects of skin tone, height, and gender on earnings
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5749813/
https://www.ncbi.nlm.nih.gov/pubmed/29293634
http://dx.doi.org/10.1371/journal.pone.0190640
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