Infrequent Identity Signals, Multiple Correspondence, and Detection Risks in Audit Correspondence Studies
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| Title: | Infrequent Identity Signals, Multiple Correspondence, and Detection Risks in Audit Correspondence Studies |
|---|---|
| Language: | English |
| Authors: | Balfe, Catherine, Button, Patrick, Penn, Mary, Schwegman, David J. (ORCID |
| Source: | Field Methods. Feb 2023 35(1):3-17. |
| Availability: | SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: https://sagepub.com |
| Peer Reviewed: | Y |
| Page Count: | 15 |
| Publication Date: | 2023 |
| Sponsoring Agency: | National Institutes of Health (NIH) (DHHS) |
| Contract Number: | 5T32AG00024423 |
| Document Type: | Journal Articles Reports - Research |
| Descriptors: | Field Studies, Experiments, Audits (Verification), Researchers, Research Problems, Risk, Bias, Identification, Research Design, Discriminant Analysis |
| DOI: | 10.1177/1525822X211057623 |
| ISSN: | 1525-822X 1552-3969 |
| 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 article 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 toward zero) estimates of discrimination. |
| Abstractor: | As Provided |
| Entry Date: | 2023 |
| Accession Number: | EJ1360964 |
| Database: | ERIC |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: eric DbLabel: ERIC An: EJ1360964 AccessLevel: 3 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Infrequent Identity Signals, Multiple Correspondence, and Detection Risks in Audit Correspondence Studies – Name: Language Label: Language Group: Lang Data: English – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Balfe%2C+Catherine%22">Balfe, Catherine</searchLink><br /><searchLink fieldCode="AR" term="%22Button%2C+Patrick%22">Button, Patrick</searchLink><br /><searchLink fieldCode="AR" term="%22Penn%2C+Mary%22">Penn, Mary</searchLink><br /><searchLink fieldCode="AR" term="%22Schwegman%2C+David+J%2E%22">Schwegman, David J.</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0001-8254-7111">0000-0001-8254-7111</externalLink>) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="SO" term="%22Field+Methods%22"><i>Field Methods</i></searchLink>. Feb 2023 35(1):3-17. – Name: Avail Label: Availability Group: Avail Data: SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: https://sagepub.com – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: Y – Name: Pages Label: Page Count Group: Src Data: 15 – Name: DatePubCY Label: Publication Date Group: Date Data: 2023 – Name: SourceSuprt Label: Sponsoring Agency Group: SrcSuprt Data: National Institutes of Health (NIH) (DHHS) – Name: NumberContract Label: Contract Number Group: NumCntrct Data: 5T32AG00024423 – Name: TypeDocument Label: Document Type Group: TypDoc Data: Journal Articles<br />Reports - Research – Name: Subject Label: Descriptors Group: Su Data: <searchLink fieldCode="DE" term="%22Field+Studies%22">Field Studies</searchLink><br /><searchLink fieldCode="DE" term="%22Experiments%22">Experiments</searchLink><br /><searchLink fieldCode="DE" term="%22Audits+%28Verification%29%22">Audits (Verification)</searchLink><br /><searchLink fieldCode="DE" term="%22Researchers%22">Researchers</searchLink><br /><searchLink fieldCode="DE" term="%22Research+Problems%22">Research Problems</searchLink><br /><searchLink fieldCode="DE" term="%22Risk%22">Risk</searchLink><br /><searchLink fieldCode="DE" term="%22Bias%22">Bias</searchLink><br /><searchLink fieldCode="DE" term="%22Identification%22">Identification</searchLink><br /><searchLink fieldCode="DE" term="%22Research+Design%22">Research Design</searchLink><br /><searchLink fieldCode="DE" term="%22Discriminant+Analysis%22">Discriminant Analysis</searchLink> – Name: DOI Label: DOI Group: ID Data: 10.1177/1525822X211057623 – Name: ISSN Label: ISSN Group: ISSN Data: 1525-822X<br />1552-3969 – Name: Abstract Label: Abstract Group: Ab Data: 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 article 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 toward zero) estimates of discrimination. – Name: AbstractInfo Label: Abstractor Group: Ab Data: As Provided – Name: DateEntry Label: Entry Date Group: Date Data: 2023 – Name: AN Label: Accession Number Group: ID Data: EJ1360964 |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1360964 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1177/1525822X211057623 Languages: – Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 3 Subjects: – SubjectFull: Field Studies Type: general – SubjectFull: Experiments Type: general – SubjectFull: Audits (Verification) Type: general – SubjectFull: Researchers Type: general – SubjectFull: Research Problems Type: general – SubjectFull: Risk Type: general – SubjectFull: Bias Type: general – SubjectFull: Identification Type: general – SubjectFull: Research Design Type: general – SubjectFull: Discriminant Analysis Type: general Titles: – TitleFull: Infrequent Identity Signals, Multiple Correspondence, and Detection Risks in Audit Correspondence Studies Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Balfe, Catherine – PersonEntity: Name: NameFull: Button, Patrick – PersonEntity: Name: NameFull: Penn, Mary – PersonEntity: Name: NameFull: Schwegman, David J. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 1525-822X – Type: issn-electronic Value: 1552-3969 Numbering: – Type: volume Value: 35 – Type: issue Value: 1 Titles: – TitleFull: Field Methods Type: main |
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