Data · dataset · 2024
Gender-Targeted Job Ads in the Recruitment Process: Evidence from China
Listed in IDSC Dataverse
To measure how gendered job ads interact with workers’ application decisions and employers’ callback behavior, this data entails applicant and callback pools to job ads on internal records of a Chinese job board (XMRC.com), an Internet job board serving the city of Xiamen, over a six-month period in 2010.
Description
XMRC is a private firm, commissioned by the local government to serve private-sector employers seeking relatively skilled workers.
Its job board has a typical U.S. structure, with posted ads and resumes, on-line job applications and a facility for employers to contact workers via the site. XMRC went online in early 2000; it is nationally recognized as dominant in Xiamen. To study the effect of gender profiling on application and callback patterns, the project began with the universe of ads that received their first application between May 1 and October 30, 2010.
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Those ads where then matched to all the resumes that applied to them, creating a complete set of applications. Finally, for the subset of ads that used XMRC’s internal messaging system to contact applicants, the data has indicators for which applicants were contacted after the application was submitted. This indicator serves as the measure of callbacks.
The primary dataset for the paper is this subset of ads for which callback information is available, which comprises 3,637/42,744 = 8.5 percent of all ads. In all, the primary dataset comprises 229,616 applications made by 79,697 workers (resumes) to 3,637 ads, placed by 1,614 firms, resulting in 19,245 callbacks. Thus there was an average of 63 applications per ad and 5.3 callbacks per ad.
One in twelve applications received a callback, while one in four resumes received a callback.
Links
Where it is published
- Dataverse dataset page dataverse.iza.org/dataset.xhtml?persistentId=doi%3A10.15185%2Fizadp.12022.1 ↗
landing page · from dataverse iza org
- DOI doi.org/10.15185/izadp.12022.1 ↗
DOI / persistent id · from dataverse iza org
Catalogue records · 1
- Dataverse API dataverse.iza.org/api/datasets/:persistentId/?persistentId=doi%3A10.15185%2Fizad… ↗
metadata API · from dataverse iza org
Topics
- Stated by source
- Social Sciences
- From keywords
- Social Science
- Inferred from text
- Gender studies 71%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| IDSC Dataverse | doi:10.15185/izadp.12022.1 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:4405 | enrichment · dataverse iza org | taxonomy-embedding@1.0.0 | title+keywords+description (71%) |
| concepts[field].dataverse_subject:social-sciences | source · dataverse iza org | connector:dataverse_iza_org@1.0.0 | /subjects |
| concepts[field].local:field:social-science | mapping · dataverse iza org | connector:dataverse_iza_org@1.0.0 | /subjects |
| created_date | source · dataverse iza org | connector:dataverse_iza_org@1.0.0 | |
| description | source · dataverse iza org | connector:dataverse_iza_org@1.0.0 | /description |
| publication_date | source · dataverse iza org | connector:dataverse_iza_org@1.0.0 | |
| title | source · dataverse iza org | connector:dataverse_iza_org@1.0.0 | /name |
| updated_date | source · dataverse iza org | connector:dataverse_iza_org@1.0.0 | |
| version_label | source · dataverse iza org | connector:dataverse_iza_org@1.0.0 |