Triple Penalty in Employment Access: The Role of Beauty, Race, and Sex
Francisco Galarza () and
Gustavo Yamada
Journal of Applied Economics, 2017, vol. 20, issue 1, 29-47
Abstract:
This article reports the results from a first experiment specifically designed to disentangle the effect of beauty from that of race in the observed labor market discrimination, for both females and males in Peru. We randomly assigned Quechua and white surnames and (subjectively perceived) attractive or homely-looking photographs (or no photos) to 4,899 fictitious résumés sent in response to 1,247 job openings. We find that candidates who are physically attractive, have a white-sounding surname, and are males, receive 82%, 54%, and 34% more callbacks for job interviews than their similarly-qualified counterparts, thus imposing a triple penalty on homely-looking, indigenous, and female job candidates. We further find that the intensity of discrimination by race and physical appearance differs for males and females; the intensity of discrimination by physical appearance and sex differs for Quechua and white applicants; and the intensity of racial and sexual discrimination differs for beautiful and homely-looking persons.
Date: 2017
References: Add references at CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://hdl.handle.net/10.1016/S1514-0326(17)30002-8 (text/html)
Access to full text is restricted to subscribers.
Related works:
Journal Article: Triple penalty in employment access: The role of beauty, race, and sex (2017) 
Working Paper: Triple penalty in employment access: the role of beauty, race, and sex (2012) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:recsxx:v:20:y:2017:i:1:p:29-47
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/recs20
DOI: 10.1016/S1514-0326(17)30002-8
Access Statistics for this article
Journal of Applied Economics is currently edited by Jorge M. Streb
More articles in Journal of Applied Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().