G2TT
来源类型Discussion paper
规范类型论文
来源IDDP16736
DP16736 Gender inequality and caste: Field experimental evidence from India
Asad Islam; Debayan Pakrashi; Soubhagya Sahoo; Liang Choon Wang; Yves Zenou
发表日期2021-11-19
出版年2021
语种英语
摘要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
主题Development Economics
关键词Gender discrimination Statistical discrimination Caste discrimination
URLhttps://cepr.org/publications/dp16736
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/545671
推荐引用方式
GB/T 7714
Asad Islam,Debayan Pakrashi,Soubhagya Sahoo,et al. DP16736 Gender inequality and caste: Field experimental evidence from India. 2021.
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