Data · dataset · 2023
G²LM|LIC - Characterizing Urban Labor Market Effects of COVID-19 and Speeding Recovery Through a Job Search Platform
Listed in IDSC Dataverse
The data collection from jobseekers and firms is done as part of the enrollment and operations for the job search platform called “Job Talash”.
Description
As part of the operations for the platform, vacancies are listed from enrolled firms on the platform and match candidates who meet the requirements of the vacancy. Candidates are then invited to apply for the vacancies that they have been matched to.
Firm Survey Dataset The Firm survey dataset consists of all the attempts made to employers to enlist vacancies on the platform. The dataset also has the ads listing data which specifies the requirements of firms for vacancies that are listed on the platform, Job Talash. All registered firms on the platform receive a call every 3 months, asking them if they’d like to list a vacancy on the platform.
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If they decide to list a vacancy, the information about the requirements for the vacancy is collected so that relevant candidates can be matched to those jobs. The Jobseeker Dataset The Jobseeker dataset is based on the job matches generated for the jobseekers periodically based on their profile that includes, work experience, gender, education level and job interest. These job matches are communicated to the jobseeker via text message and phone call.
A screening instrument is used by the field team while making phone calls for giving job updates to the jobseekers and recording their interest in the available positions. Along with the application interest, also information is collected about whether they have been employed to earn an income in the last 14 or 30 days (randomized recall period for each jobseeker).
Links
Where it is published
- Dataverse dataset page dataverse.iza.org/dataset.xhtml?persistentId=doi%3A10.15185%2Fglmlic.704.1 ↗
landing page · from dataverse iza org
- DOI doi.org/10.15185/glmlic.704.1 ↗
DOI / persistent id · from dataverse iza org
Catalogue records · 1
- Dataverse API dataverse.iza.org/api/datasets/:persistentId/?persistentId=doi%3A10.15185%2Fglml… ↗
metadata API · from dataverse iza org
Topics
- Stated by source
- Social Sciences
- From keywords
- Medicine & Health · Social Science
- Inferred from text
- Health services and systems 68% · Text 75%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| IDSC Dataverse | doi:10.15185/glmlic.704.1 | 9 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:4203 | enrichment · dataverse iza org | taxonomy-embedding@1.0.0 | title+keywords+description (68%) |
| concepts[field].dataverse_subject:social-sciences | source · dataverse iza org | connector:dataverse_iza_org@1.0.0 | /subjects |
| concepts[field].local:field:medicine-health | mapping · 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 |
| concepts[modality].local:modality:text | enrichment · dataverse iza org | keyword-concept-rules@1.0.0 | title+description (75%) |
| 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 |