全球智库信息集成服务系统(G2TT): DP12955 Determining the Extent of Statistical Discrimination: Evidence from a field experiment in India

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来源类型	Discussion paper
规范类型	论文
来源ID	DP12955
	DP12955 Determining the Extent of Statistical Discrimination: Evidence from a field experiment in India
	Asad Islam; Debayan Pakrashi; Liang Choon Wang; Yves Zenou
发表日期	2018-05-28
出版年	2018
语种	英语
摘要	In order to determine the relative size of taste-based and statistical discrimination, we develop a simple model to distinguish these two theories. We then test the model's predictions of caste-based discrimination by conducting a field experiment that elicits patients' rankings of physicians of different castes and years of experience in the healthcare market in India. We also run a survey and conduct lab-in-the-field experiments to measure patients' attitudes towards different caste groups. We find that 47 to 80 percent of patients statistically discriminate physicians. The overwhelming size of statistical discrimination has important implications for the use of Affirmative Action policies in India.
主题	Development Economics
关键词	Field experiment Caste Discrimination Health
URL	https://cepr.org/publications/dp12955
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/541764
推荐引用方式 GB/T 7714	Asad Islam,Debayan Pakrashi,Liang Choon Wang,et al. DP12955 Determining the Extent of Statistical Discrimination: Evidence from a field experiment in India. 2018.