Infrequent Identity Signals, Multiple Correspondence, and Detection Risks in Audit Correspondence Studies.

IF 1.1 3区 社会学 Q2 ANTHROPOLOGY
Field Methods Pub Date : 2023-02-01 Epub Date: 2022-01-12 DOI:10.1177/1525822x211057623
Catherine Balfe, Patrick Button, Mary Penn, David J Schwegman
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引用次数: 0

Abstract

Audit correspondence studies are field experiments that test for discriminatory behavior in active markets. Researchers measure discrimination by comparing how responsive individuals ("audited units") are to correspondences from different types of people. This paper elaborates on the tradeoffs researchers face between sending audited units only one correspondence and sending them multiple correspondences, especially when including less common identity signals in the correspondences. We argue that when researchers use audit correspondence studies to measure discrimination against individuals that infrequently interact with audited units, they raise the risk that these audited units become aware they are being studied or otherwise act differently. We also argue that sending multiple pieces of correspondence can increase detection risk. We present the result of an audit correspondence study that demonstrates how detection can occur for these reasons, leading to significantly attenuated (biased towards zero) estimates of discrimination.

审计函证研究中的非频繁身份信号、多重函证和检测风险。
审计对应研究是一种实地实验,用于测试活跃市场中的歧视行为。研究人员通过比较个人("被审计单位")对来自不同类型人群的信件的反应程度来衡量歧视行为。本文详细阐述了研究人员在只向被审核单位发送一封信函和向他们发送多封信函之间所面临的权衡,尤其是在信函中包含不太常见的身份信号时。我们认为,当研究人员使用审计通信研究来衡量与被审计单位互动不频繁的个人所受到的歧视时,就会增加这些被审计单位意识到他们正在被研究或采取其他不同行为的风险。我们还认为,发送多份函文会增加检测风险。我们介绍了一项审计函证研究的结果,该结果表明,由于上述原因,可能会出现被发现的情况,从而导致对歧视的估计值显著减弱(偏向于零)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Field Methods
Field Methods Multiple-
CiteScore
2.70
自引率
5.90%
发文量
41
期刊介绍: Field Methods (formerly Cultural Anthropology Methods) is devoted to articles about the methods used by field wzorkers in the social and behavioral sciences and humanities for the collection, management, and analysis data about human thought and/or human behavior in the natural world. Articles should focus on innovations and issues in the methods used, rather than on the reporting of research or theoretical/epistemological questions about research. High-quality articles using qualitative and quantitative methods-- from scientific or interpretative traditions-- dealing with data collection and analysis in applied and scholarly research from writers in the social sciences, humanities, and related professions are all welcome in the pages of the journal.
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