Metrics
1,041 Downloads
Contact Share
Welcome to the IDSC Dataverse, a repository for research data where you can:

  • deposit your data, metadata and code and get academic credit.
  • organize your datasets, files, and metadata in one or more containers (dataverses) and collect metrics.
  • search and download data for education, replication and research or any other academic endeavor.

    • Publishing your data on the IDSC Dataverse is easy! Contact the IDSC for any questions.
    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

    1 to 10 of 167 Results
    G²LM|LIC - A Tough Call: Understanding the Impact of Mobile Technology on Women’s Work, Gender Gaps, and Social Norms
    Nov 21, 2024 - G²LM|LIC - Gender Growth and Labor Markets in Low-Income Countries
    Moore, Charity Troyer; Barboni, Giorgia; Field, Erica; Pande, Rohini; Rigol, Natalia; Schaner, Simone; Jorgensen, Erik; Balarama, Hemawathy, 2024, "G²LM|LIC - A Tough Call: Understanding the Impact of Mobile Technology on Women’s Work, Gender Gaps, and Social Norms", https://doi.org/10.15185/glmlic.556.1, Research Data Center of IZA (IDSC), V1
    Mobile phones can help individuals access information, networks, and resources, allowing them to benefit both socially and economically. Yet in many lower-income countries, women lag men in phone ownership and usage for a variety of economic and normative reasons. To boost women’...
    Repository.zip
    Nov 21, 2024 - G²LM|LIC - A Tough Call: Understanding the Impact of Mobile Technology on Women’s Work, Gender Gaps, and Social Norms
    ZIP Archive - 18.6 MB - MD5: d02e5c803a48685bce3b2d99526e4f1a
    DataDocumentation
    Data are under Embargo. During the Embargo period, the public will only be able to view metadata. Embargo date: 2027-11-30.
    G²LM|LIC - Uganda Youth Opportunity Program - COVID-19 Survey
    Sep 30, 2024 - G²LM|LIC - Gender Growth and Labor Markets in Low-Income Countries
    Fiala, Nathan; Ankel-Peters, Jörg, 2023, "G²LM|LIC - Uganda Youth Opportunity Program - COVID-19 Survey", https://doi.org/10.15185/glmlic.5-698.1, Research Data Center of IZA (IDSC), V3
    This study does examine the resilience of young micro-entrepreneurs in the informal sector and their families in rural Uganda against the COVID-19 shock. More specifically, the study investigates how firms have built up considerable amounts of physical and human capital over the...
    Repository.zip
    Sep 30, 2024 - G²LM|LIC - Uganda Youth Opportunity Program - COVID-19 Survey
    ZIP Archive - 4.1 MB - MD5: 0593d14d7ee1fe3d1703095056a94dcc
    DataDocumentation
    The repository contains all the essential data & documentation.
    G²LM|LIC - Returns to Childcare and Capital: Experimental Evidence from Uganda
    Sep 30, 2024 - G²LM|LIC - Gender Growth and Labor Markets in Low-Income Countries
    Bjorvatn, Kjetil; Ferris, Denise; Gulesci, Selim; Nasgowitz, Arne; Somville, Vincent; Vandewalle, Lore, 2024, "G²LM|LIC - Returns to Childcare and Capital: Experimental Evidence from Uganda", https://doi.org/10.15185/glmlic.544.1, Research Data Center of IZA (IDSC), V1
    The study "Returns to Childcare and Capital: Experimental Evidence from Uganda" is designed to investigate how access to childcare and capital impacts the labor supply and business outcomes of women in Uganda, particularly those managing microenterprises. The central aim is to un...
    Repository.zip
    Sep 30, 2024 - G²LM|LIC - Returns to Childcare and Capital: Experimental Evidence from Uganda
    ZIP Archive - 46.8 MB - MD5: 5f52c29d6a7377b92277547d736810ae
    DataDocumentation
    Data are under Embargo. During the Embargo period, the public will only be able to view metadata. Embargo date: 2027-10-01.
    The IZA/Fable Data Consumption Indicator
    Sep 20, 2024 - IZA - Institute of Labor Economics
    Askitas, Nikos; Martinez, Anoop Bindra; Cereda, Fabio Saia, 2024, "The IZA/Fable Data Consumption Indicator", https://doi.org/10.15185/iza.fable.coin, Research Data Center of IZA (IDSC), V1
    Fable Data obtains card payment data directly from various financial institutions across Europe. The ingested data is enriched by proprietary models from Fable Data and is then homogenised and productised to generate a single pan-European dataset that’s updated on a daily basis....
    Replication.zip
    Sep 20, 2024 - The IZA/Fable Data Consumption Indicator
    ZIP Archive - 244.3 KB - MD5: 44c0c42ad65970b888fcf7e852a09ce4
    CodeDataDocumentation
    The repository contains all the essential data & code necessary for the successful replication.
    G²LM|LIC - Can Temporary Financial Incentives for Female Industrial Workers Lead to Long-Term Retention and a Better Allocation of Talent?
    Aug 29, 2024 - G²LM|LIC - Gender Growth and Labor Markets in Low-Income Countries
    Dercon, Stefan; Girum, Abebe; Hensel, Lukas; Caria, Stefano, 2024, "G²LM|LIC - Can Temporary Financial Incentives for Female Industrial Workers Lead to Long-Term Retention and a Better Allocation of Talent?", https://doi.org/10.15185/glmlic.538.1, Research Data Center of IZA (IDSC), V1
    A G²LM|LIC Research Project conducted by the University of Oxford. In this project, the research team studies whether worker turnover contributes to the misallocation of talent in low-income countries. To this end, they will experimentally evaluate the impacts of offering financi...
    Documentation.zip
    Aug 29, 2024 - G²LM|LIC - Can Temporary Financial Incentives for Female Industrial Workers Lead to Long-Term Retention and a Better Allocation of Talent?
    ZIP Archive - 12.1 KB - MD5: abc5e65b8944f3090b0b83524afcbffc
    Documentation
    This file contains all documentation.
    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.