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首页> 外文期刊>International Journal of Social Economics >The discrimination decomposition index: a new instrument to separate statistical and taste-based discrimination using first- and second-generation immigrants
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The discrimination decomposition index: a new instrument to separate statistical and taste-based discrimination using first- and second-generation immigrants

机译:歧视分解指数:使用第一和第二代移民分离统计和味道歧视的新仪器

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摘要

Purpose - This article deals with the impact of ethnic origin on individual employability, focussing on the first stage of the hiring process. Deeply, the authors' goal is to fathom whether there is a preference for native job candidates over immigrants, decomposing the discrimination against minority groups into its statistical and taste-based components by means of a new approach. Design/methodology/approach - The authors built up a data set by means of an ad hoc field experiment, conducted by sending equivalent fictitious CVs in response to 1000 real online job openings in Italy. The authors developed the discrimination decomposition index using first- and second-generation immigrants. Findings - The authors' main result is that both first- and second-generation immigrants are discriminated compared to Italians. In between the two categories, second-generation candidates are discriminated especially if their ethnicities are morphologically different from those of natives (i.e. Chinese and Moroccans). This last finding is a clear symptom of discrimination connected to taste-based reasons. On the other hand, first-generation immigrants of all nationalities but Germans are preferred for hard-work jobs. Originality/value - The authors develop the discrimination decomposition index to measure the proportion of the two kinds of discrimination (statistical and taste-based) over the total one and apply a probit model to test the statistical significance of the difference in treatment between the three groups of natives, first-generation and second-generation immigrants.
机译:目的 - 本文涉及民族来源对个人就业能力的影响,侧重于招聘流程的第一阶段。深入,作者的目标是为了通过新方法将针对少数群体的歧视分解对其统计和味道的统计和味道组成部分的偏好。设计/方法/方法 - 作者建立了通过临时现场实验建立的数据,通过发送等效的虚拟CV来响应意大利1000个真实在线职位开口而进行。作者使用第一代和第二代移民制定了歧视分解指数。调查结果 - 作者的主要结果是,与意大利人相比,第一和第二代移民都被歧视。在两种类别之间,第二代候选人被歧视,特别是如果他们的种族与当地人的种族不同(即中国和摩洛哥人)。最后一个发现是与基于味道的原因相关的歧视症状。另一方面,所有民族的第一代移民,但德国人都是努力工作的工作。原创性/价值 - 作者开发了歧视分解指数,以衡量两种歧视(基于统计和味道)的比例,并应用概率模型,以测试三个差异差异的统计学意义本土,第一代和第二代移民。

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