Data · dataset · 2023
G²LM|LIC - Reducing Extreme Poverty through Skill Training for Industry Job Placement
Listed in IDSC Dataverse
The experimental intervention of this study was inspired by the Department for International Development (DFID)-funded training program conducted in the Northern Bangladesh by Gana Unnayan Kendra (GUK).
Description
By employing randomized controlled trial (RCT) technique, this study addresses which component of a successful training program helps individuals find and secure jobs in the manufacturing sector in general and RMG sector in particular.
The researchers provided four different variations of job-related interventions randomly to eligible participants which are the following: Day-long job-related information session, One-month long residential skill training, Month-long residential training with financial stipend for migration and forgone income and, Same as 3. with one month paid internship (on-the-job training) in a factory located in the capital city (Full treatment).
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The interventions were conducted with an active collaboration with a local NGO (GUK) in the north-eastern part (Gaibandha) of Bangladesh, one of the poverty stricken areas of Bangladesh. To select the sample for this experiment, a short survey to recruit eligible participants (eligibility requires that the prospective participant is interested in training if offered an opportunity) from a large population on the basis of age, education and poverty status was conducted.
After having the list of eligible participants for the study, each participant was randomly assigned to either a control group or to receive one of the interventions from the above mentioned four treatments. Before the randomization, a baseline study has been conducted to collect detailed information about the participants and their households. Six months after receiving the intervention, the participants were surveyed again over the phone for a short follow-up survey.
A detailed panel survey of each participant was done after one year of the intervention. A second follow-up survey of the participants was done 18 months after the intervention. To track the participants for the purpose of the survey, each participant was given a mobile-phone connection and airtime topup incentive as a reward for participating in each of theses surveys.
Links
Where it is published
- Dataverse dataset page dataverse.iza.org/dataset.xhtml?persistentId=doi%3A10.15185%2Fglmlic.238.1 ↗
landing page · from dataverse iza org
- DOI doi.org/10.15185/glmlic.238.1 ↗
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
- Social Science
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| IDSC Dataverse | doi:10.15185/glmlic.238.1 | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| 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 |