Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/245764 
Year of Publication: 
2021
Series/Report no.: 
IZA Discussion Papers No. 14713
Publisher: 
Institute of Labor Economics (IZA), Bonn
Abstract: 
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.
Subjects: 
caste discrimination
statistical discrimination
gender discrimination
intersectionality
affirmative action
JEL: 
J16
J15
I15
O12
Document Type: 
Working Paper

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