Research data

Data & Code: Beauty Pays, But Not Under All Circumstances: Evidence on Gendered Hiring Discrimination from a Novel Experimental Treatment Using Deepfakes

GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2765
Abstract: The published Stata syntax file (do-file) and dataset can be used to replicate the results reported in the cited article. The dataset only contains the variables of the questionnaire that are necessary for replicating and testing the results of the article. For example, the variables on professional activity, the number of employees of the employer, the proportion of women in the company the number of persons for whom the participant has personnel responsibility are not included in the dataset. Journal Abstract: Using deepfaked job application videos as a novel experimental treatment, th ... more
Availability: Restricted Access
Subject area: [Sociology]

Methodology

Date(s) of Data Collection: 2022-07-27; 2022-08-10
Geographic coverage: [Germany / DE]
Universe: Persons who have personnel responsibility for at least one person //
Personen, die Personalverantwortung für mindestens eine Person haben
Sampling Procedure: Non-probability Sample - Respondent-assisted Sample
Temporal Research Design: cross-section
Mode of Data Collection: Web-based experiment

Bibliographic information

Primärforschende, Institution: Kühn, Juliane; Friedrich-Alexander Universität Erlangen-Nürnberg | Wolbring, Tobias; Friedrich-Alexander Universität Erlangen-Nürnberg
Publication year: 2024
Study number: SDN-10.7802-2765
Publisher: GESIS, Cologne

Versions

Current Version: 1.0.0, https://doi.org/10.7802/2765

Reference publications

Publications: Kühn J, Wolbring T. (forthcoming): Beauty Pays, But Not Under All Circumstances: Evidence on Gendered Hiring Discrimination from a Novel Experimental Treatment Using Deepfakes. Research in Social Stratification and Mobility.

Cite

Kühn, Juliane, & Wolbring, Tobias (2024). Data & Code: Beauty Pays, But Not Under All Circumstances: Evidence on Gendered Hiring Discrimination from a Novel Experimental Treatment Using Deepfakes. GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2765.

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