TY - JOUR
T1 - Gender inequality and caste
T2 - field experimental evidence from India
AU - Islam, Asad
AU - Pakrashi, Debayan
AU - Sahoo, Soubhagya
AU - Wang, Liang Choon
AU - Zenou, Yves
N1 - Funding Information:
This research received funding support from the Department of Economics and the Centre for Development Economics and Sustainability (CDES) at Monash University and the Indian Institute of Technology Kanpur. Ethical clearance for the study came from the Institutional Ethics Committee at the Indian Institute of Technology Kanpur (Approval number IITK/IEC/2016-17 II/6). We thank the special issue guest editor Sefa Awaworyi Churchill and two reviewers for helpful comments and suggestions.
Funding Information:
This research received funding support from the Department of Economics and the Centre for Development Economics and Sustainability (CDES) at Monash University and the Indian Institute of Technology Kanpur. Ethical clearance for the study came from the Institutional Ethics Committee at the Indian Institute of Technology Kanpur (Approval number IITK/IEC/2016-17 II/6). We thank the special issue guest editor Sefa Awaworyi Churchill and two reviewers for helpful comments and suggestions.
Publisher Copyright:
© 2021
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/10
Y1 - 2021/10
N2 - Using a field experiment in India where patients are randomly assigned to rank among a set of physicians of the same gender but with different castes and years of experience, we show that the differences in patients’ physician choices are consistent with gender-based statistical discrimination. Labor market experience cannot easily overcome the discrimination that female doctors suffer. Further, we find that gender discrimination is greater for lower caste doctors, who typically suffer from caste discrimination. Given the increasing share of professionals from a lower caste background, our results suggest that the ‘intersectionality’ between gender and caste leads to increased gender inequality among professionals in India.
AB - Using a field experiment in India where patients are randomly assigned to rank among a set of physicians of the same gender but with different castes and years of experience, we show that the differences in patients’ physician choices are consistent with gender-based statistical discrimination. Labor market experience cannot easily overcome the discrimination that female doctors suffer. Further, we find that gender discrimination is greater for lower caste doctors, who typically suffer from caste discrimination. Given the increasing share of professionals from a lower caste background, our results suggest that the ‘intersectionality’ between gender and caste leads to increased gender inequality among professionals in India.
KW - Affirmative action
KW - Caste discrimination
KW - Gender discrimination
KW - Intersectionality
KW - Statistical discrimination
UR - http://www.scopus.com/inward/record.url?scp=85112348091&partnerID=8YFLogxK
U2 - 10.1016/j.jebo.2021.07.034
DO - 10.1016/j.jebo.2021.07.034
M3 - Article
AN - SCOPUS:85112348091
VL - 190
SP - 111
EP - 124
JO - Journal of Economic Behavior and Organization
JF - Journal of Economic Behavior and Organization
SN - 0167-2681
ER -
