Data · dataset · 2025
G²LM|LIC - Commuting Constraints and Labor Productivity: A Field Experiment on Women’s Mobility in India
Listed in IDSC Dataverse
This dataset is part of the project Commuting Constraints and Labor Productivity: A Field Experiment on Women’s Mobility in India, which investigates how transportation access shapes women’s work productivity and career progression in gig work.
Description
The study is designed as a randomized controlled trial (RCT). Female gig workers were randomly assigned to different commuting support conditions to measure the causal impact of mobility constraints and safety considerations on labor supply, earnings, and job choices.
Data collection consists of: Baseline survey: Demographics, household composition, transportation patterns, financial status, motivations for joining gig work. Follow-up surveys (two rounds): Daily job activity, commuting modes, safety perceptions, time use, well-being, and household updates. Administrative platform data: Earnings, job assignments, customer ratings, cancellations, and platform logs (not publicly available due to NDA).
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The dataset allows for longitudinal and experimental analysis of how commuting constraints and safety considerations affect women’s participation and productivity in the gig economy. Access and Embargo The dataset is under embargo for three years to allow the research team to complete analysis and publication. A de-identified version will be made available upon release, in line with ethical and confidentiality standards.
Links
Where it is published
- Dataverse dataset page dataverse.iza.org/dataset.xhtml?persistentId=doi%3A10.15185%2Fglmlic.939.1 ↗
landing page · from dataverse iza org
- DOI doi.org/10.15185/glmlic.939.1 ↗
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
- Economics & Finance · Engineering · Social Science
- Inferred from text
- Development studies 72% · Longitudinal study 65%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| IDSC Dataverse | doi:10.15185/glmlic.939.1 | 5 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:4404 | enrichment · dataverse iza org | taxonomy-embedding@1.0.0 | title+keywords+description (72%) |
| concepts[field].dataverse_subject:social-sciences | source · dataverse iza org | connector:dataverse_iza_org@1.0.0 | /subjects |
| concepts[field].local:field:economics-finance | mapping · dataverse iza org | connector:dataverse_iza_org@1.0.0 | /subjects |
| concepts[field].local:field:engineering | 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[method].local:method:longitudinal-study | enrichment · dataverse iza org | keyword-concept-rules@1.0.0 | title+description (65%) |
| 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 |