Contexts and conditions of ethnic discrimination: Evidence from a field experiment in a German housing market
Contexts and conditions of ethnic discrimination: Evidence from a field experiment in a German housing market
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DOI：
10.1016/j.jhe.2017.01.003
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发表时间：
2017-03-01
影响因子：
2.4
通讯作者：
Schmid, Laura
中科院分区：
文献类型：
--
作者：
Auspurg, Katrin;Hinz, Thomas;Schmid, Laura
人们的住房条件和居住地点对个人福祉和社会分层有着严重影响。本文重点讨论租赁住房市场上不同形式的种族歧视。在德国进行的一项实地实验对关于统计歧视、空间转向和价格歧视的几个假设进行了检验，该实验在出租单位和社区种族构成的信息量方面都是独一无二的。对于637个租赁对象，向具有德国或土耳其姓名和不同职业的申请人发出了两封电子邮件询问。Logistic随机截取回归显示，对土耳其申请人的歧视率为9个百分点。在申请中表明较高的职业地位，大大降低了这种歧视率，但私人房东往往无视地位，只根据移民背景进行歧视。令人惊讶的是，当居住在附近的土耳其居民比例最高时，对土耳其申请人的歧视最强烈。在申请价格合理的物品时，德国申请人比土耳其人更受青睐。这些结果表明，推动歧视的两个核心机制（偏好和信息）都是相关的，但在不同的市场部门。(C)2017由Elsevier Inc.出版
People's housing conditions and places of residence have serious impacts on individual well-being and social stratification. This article focuses on different forms of ethnic discrimination in the rental housing market. Several hypotheses on statistical discrimination, spatial steering, and discrimination by price were tested by a field experiment in Germany that was unique regarding both the amount of information available on rental units and on ethnic composition of neighborhoods. For 637 rental objects, two e-mail inquiries were sent out with applicants having German or Turkish names and varying occupations. Logistic random intercept regressions revealed a discrimination rate against Turkish applicants of 9 percentage points. Indicating a high occupational status in the application reduced this discrimination rate significantly, but private landlords tended to disregard status and discriminate by migration background only. Surprisingly, the discrimination against Turkish applicants was the strongest when the proportion of Turkish residents living in the neighborhood was highest. German applicants were particularly favored over Turks when making applications for reasonably priced objects. These results point to both core mechanisms driving discrimination (preference and information) being relevant, but in different market segments. (C) 2017 Published by Elsevier Inc.