The G²LM|LIC Data Repository is a vital component of the collaborative research initiative between the IZA – Institute of Labor Economics and the UK Foreign, Commonwealth & Development Office (FCDO).
It serves as a comprehensive data hub, housing an extensive collection of research datasets generated by the G²LM|LIC programme. This repository offers researchers, access to rich research data, including COVID-19-related studies, fostering evidence-based decision-making and capacity building. Continually enriched with new research, the G²LM|LIC Data Repository is a testament to the program's commitment to advancing knowledge and facilitating collaborations in pursuit of inclusive and sustainable labor market policies.

In order to get access to the research data please proceed as follows:
  • Register and download the contract form.
  • Enter the requested information on the contract form, sign it, and send it to the IDSC .
  • After the application is approved by the IDSC the data will be provided as download for registered users.
    • Featured Dataverses

    In order to use this feature you must have at least one published dataverse.

    Publish Dataverse

    Are you sure you want to publish your dataverse? Once you do so it must remain published.

    Publish Dataverse

    This dataverse cannot be published because the dataverse it is in has not been published.

    Delete Dataverse

    Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

    Advanced Search

    11 to 20 of 66 Results
    G²LM|LIC - Paternalistic Discrimination
    Mar 19, 2024
    Buchmann, Nina C.; Sullivan, Colin D.; Meyer, Carl, 2024, "G²LM|LIC - Paternalistic Discrimination", https://doi.org/10.15185/glmlic.807.1, Research Data Center of IZA (IDSC), V1
    The study combines field experiments in Bangladesh with a structural labormodel to introduce paternalistic discrimination. This discrimination involves the differential treatment of two groups to protect one, even against its will, from harmful or unpleasant situations. The main...
    IDSC_repository.zip
    Mar 19, 2024 - G²LM|LIC - Paternalistic Discrimination
    ZIP Archive - 5.8 MB - MD5: eae7d431b981f506bf3ed48464eca3f7
    DataDocumentation
    The repository contains all the essential data necessary for the successful replication or execution of individual research projects.
    G²LM|LIC - Urban Density and Labor Markets
    Mar 19, 2024
    Bryan, Gharad; Franklin, Simon; Abebe, Girum, 2024, "G²LM|LIC - Urban Density and Labor Markets", https://doi.org/10.15185/glmlic.409.1, Research Data Center of IZA (IDSC), V1
    Many of the world‘s poorest people live and work in dense informal settlements in Africa’s growing megacities. These communities have both positives and negatives. On one side, settlements, often located in central areas, provide workers with access to geographically proximate jo...
    G²LM|LIC - Labor Supply Complementarities in Urban Côte d‘Ivoire
    Mar 9, 2024
    Donald, Aletheia; Grosset, Florian, 2024, "G²LM|LIC - Labor Supply Complementarities in Urban Côte d‘Ivoire", https://doi.org/10.15185/glmlic.677.1, Research Data Center of IZA (IDSC), V2
    This data examines complementarities in labor supply: to what extent does a person’s desire to work at a firm depend on whether others in her social network also work at the firm? The researchers conducted two field experiments in urban Côte d’Ivoire. In the first experiment, job...
    Questionnairs.zip
    Mar 9, 2024 - G²LM|LIC - Labor Supply Complementarities in Urban Côte d‘Ivoire
    ZIP Archive - 407.3 KB - MD5: e293c53d0831a2434648a3d5d5eb97c3
    Documentation
    Original French questionnaire and English translation
    IDSC_repository.zip
    Feb 28, 2024 - G²LM|LIC - Labor Supply Complementarities in Urban Côte d‘Ivoire
    ZIP Archive - 65.1 KB - MD5: 2b416ca595e89c32904f646c58adf1ae
    DataDocumentation
    The repository contains all the essential data necessary for the successful replication or execution of individual research projects.
    G²LM|LIC - Sudan Labor Market Panel Survey
    Jan 30, 2024
    Assaad, Raul; Krafft, Caroline, 2023, "G²LM|LIC - Sudan Labor Market Panel Survey", https://doi.org/10.15185/glmlic.706.1, Research Data Center of IZA (IDSC), V4
    The Sudan Labor Market Panel Survey 2022 (SLMPS 2022) is the first wave of a planned longitudinal study of the Sudanese labor market designed to elucidate the way in which human resources are developed and deployed in the Sudanese economy. The SLMPS 2022 is a nationally-represent...
    G²LM|LIC - The Impact of Subsidized Access to Nurseries and Employment Services on Mothers’ Labor Market Outcomes and Child Development in Egypt
    Jan 8, 2024
    Crepon, Bruno; Crafft, Caroline; Caria, Stefano; Abdelrahman, Nagy, 2024, "G²LM|LIC - The Impact of Subsidized Access to Nurseries and Employment Services on Mothers’ Labor Market Outcomes and Child Development in Egypt", https://doi.org/10.15185/glmlic.596.1, Research Data Center of IZA (IDSC), V2
    There are three main explanations as to why female labor force participation, globally, remains low: (1) women’s high opportunity cost of time (2) weak labor demand and (3) restrictive gender norms. The research team will test aspects of all three constraints on FLFP in a low-inc...
    G²LM|LIC - The Effects of Employer Responses to COVID-19 on Female Garment Workers in Bangladesh
    Nov 12, 2023
    Heath, Rachel M.; Boudreau, Laura; Matin, Imran; Ahmed, Shakil, 2023, "G²LM|LIC - The Effects of Employer Responses to COVID-19 on Female Garment Workers in Bangladesh", https://doi.org/10.15185/glmlic.710.1, Research Data Center of IZA (IDSC), V2
    This study developed and implemented a mobile-phone-based survey of garment workers in Bangladesh, providing insights about COVID-19 responses in their workplace and the effects on workers. The study asked about factory shutdowns, the rate of safety measures like masks and increa...
    G²LM|LIC - Taming Counterfeits Markets with Consumer Information
    Nov 12, 2023
    Hsu, Eric; Wancera Wambugu, Anne, 2023, "G²LM|LIC - Taming Counterfeits Markets with Consumer Information", https://doi.org/10.15185/glmlic.620.1, Research Data Center of IZA (IDSC), V2
    The project aimed to study whether an information campaign to improve Kenyan farmers’ ability to detect quality of agricultural inputs—such as seeds, fertilizer, and pesticides was able to help: increase usage of techniques to verify seed quality, increase adoption of quality-ver...
    Add Data

    Sign up or log in to create a dataverse or add a dataset.

    Sign Up Log In
    Share Dataverse

    Share this dataverse on your favorite social media networks.

    Link Dataverse
    Reset Modifications

    Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.