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Pursuing Quality: How Search Costs and Uncertainty Magnify Gender-based Double Standards in a Multistage Evaluation Process

机译:追求质量:搜索成本和不确定性如何在多阶段评估过程中放大基于性别的双重标准

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摘要

Despite lab-based evidence supporting the argument that double standards—by which one group is unfairly held to stricter standards than another—explain observed gender differences in evaluations, it remains unclear whether double standards also affect evaluations in organization and market contexts, where competitive pressures create a disincentive to discriminate. Using data from a field study of investment professionals sharing recommendations on an online platform, and drawing on status theory, we identify the conditions under which double standards in multistage evaluations contribute to unequal outcomes for men and women. We find that double standards disadvantaging women are most likely when evaluators face heightened search costs related to the number of candidates being compared or higher levels of uncertainty stemming from variation in the amount of pertinent information available. We rule out that systematic gender differences in the actions or characteristics of the investment professionals being evaluated are driving these results. By more carefully isolating the role of this status-based mechanism of discrimination for perpetuating gender inequality, this study identifies not only whether but also the conditions under which gender-based double standards lead to a female disadvantage, even when relevant and objective information about performance is readily available.
机译:尽管基于实验室的证据支持这样的论点,即双重标准(一组不公平地坚持另一组标准)解释了评估中的性别差异,但尚不清楚的是,双重标准是否还会影响组织和市场环境中的评估,因为竞争压力很大。造成歧视的歧视。利用对投资专业人员进行在线研究的数据,他们在在线平台上分享建议并借鉴地位理论,确定了多阶段评估中双重标准导致男女不平等结果的条件。我们发现,当评估人员面临与被比较的候选人数量相关的更高的搜索成本,或者由于可用相关信息量的变化而导致的不确定性较高时,双重标准最不利于女性的可能性最大。我们排除了正在评估的投资专业人员的行为或特征方面的系统性别差异正在推动这些结果。通过更仔细地隔离这种基于状态的歧视机制在永久性性别不平等中的作用,这项研究不仅确定了基于性别的双重标准是否导致女性处于不利地位,而且还确定了在何种情况下绩效的相关客观信息,随时可用。

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