Discrimination in an Online Market for Tutoring Services. / Farghly, Florentyna.

2018. 111 p.

Research output: ThesisDoctoral Thesis

Unpublished

Standard

Discrimination in an Online Market for Tutoring Services. / Farghly, Florentyna.

2018. 111 p.

Research output: ThesisDoctoral Thesis

Harvard

Farghly, F 2018, 'Discrimination in an Online Market for Tutoring Services', Ph.D., Royal Holloway, University of London.

APA

Vancouver

Author

BibTeX

@phdthesis{68933266792740d68ca7f98e3971b2bc,
title = "Discrimination in an Online Market for Tutoring Services",
abstract = "This PhD thesis examines gender and racial discrimination in the sharing economy, more specifically an online market for tutoring services. The first chapter focuses on pricing behaviour. I exploit the fact that prices are observed over time to examine differences both in a static as well as dynamic framework. I observe no gender differences, but find that ethnic minority tutors consistently underprice their services relative to majority tutors. The ethnic price gap does not diminish as tutors modestly adjust their prices in response to gains in reputation and experience. The second chapter examines racial discrimination in the hiring process on both the supply and demand side of the market. I uncover large scale discrimination against ethnic minority tutors who are almost half as likely to be approached by potential students and up to 40% less likely to be hired than similar British tutors. This discrimination appears to be taste-based as prejudicial treatment persists in the presence of reviews. Discrimination also exists on the supply side of the market, albeit to a lesser extent, with British tutors rejecting requests from minority tutees more frequently than requests from British tutees. In the third chapter I study gender homophily in preferences and find that it is moderated by pervasive stereotypes regarding the role of men and women in education. Overall, this thesis shows that now ubiquitous, trust facilitating, online profiles which contain demographic information can and do lead to discrimination.",
keywords = "discrimination, labour markets, gender, ethnicity",
author = "Florentyna Farghly",
year = "2018",
language = "English",
school = "Royal Holloway, University of London",

}

RIS

TY - THES

T1 - Discrimination in an Online Market for Tutoring Services

AU - Farghly, Florentyna

PY - 2018

Y1 - 2018

N2 - This PhD thesis examines gender and racial discrimination in the sharing economy, more specifically an online market for tutoring services. The first chapter focuses on pricing behaviour. I exploit the fact that prices are observed over time to examine differences both in a static as well as dynamic framework. I observe no gender differences, but find that ethnic minority tutors consistently underprice their services relative to majority tutors. The ethnic price gap does not diminish as tutors modestly adjust their prices in response to gains in reputation and experience. The second chapter examines racial discrimination in the hiring process on both the supply and demand side of the market. I uncover large scale discrimination against ethnic minority tutors who are almost half as likely to be approached by potential students and up to 40% less likely to be hired than similar British tutors. This discrimination appears to be taste-based as prejudicial treatment persists in the presence of reviews. Discrimination also exists on the supply side of the market, albeit to a lesser extent, with British tutors rejecting requests from minority tutees more frequently than requests from British tutees. In the third chapter I study gender homophily in preferences and find that it is moderated by pervasive stereotypes regarding the role of men and women in education. Overall, this thesis shows that now ubiquitous, trust facilitating, online profiles which contain demographic information can and do lead to discrimination.

AB - This PhD thesis examines gender and racial discrimination in the sharing economy, more specifically an online market for tutoring services. The first chapter focuses on pricing behaviour. I exploit the fact that prices are observed over time to examine differences both in a static as well as dynamic framework. I observe no gender differences, but find that ethnic minority tutors consistently underprice their services relative to majority tutors. The ethnic price gap does not diminish as tutors modestly adjust their prices in response to gains in reputation and experience. The second chapter examines racial discrimination in the hiring process on both the supply and demand side of the market. I uncover large scale discrimination against ethnic minority tutors who are almost half as likely to be approached by potential students and up to 40% less likely to be hired than similar British tutors. This discrimination appears to be taste-based as prejudicial treatment persists in the presence of reviews. Discrimination also exists on the supply side of the market, albeit to a lesser extent, with British tutors rejecting requests from minority tutees more frequently than requests from British tutees. In the third chapter I study gender homophily in preferences and find that it is moderated by pervasive stereotypes regarding the role of men and women in education. Overall, this thesis shows that now ubiquitous, trust facilitating, online profiles which contain demographic information can and do lead to discrimination.

KW - discrimination

KW - labour markets

KW - gender

KW - ethnicity

M3 - Doctoral Thesis

ER -