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Does Gender Tagging Public Works Increase Women’s Participation? Experimental Evidence from Haiti, Kenya, and Rwanda 2020-2024
Baseline and Midline Surveys

Haiti, Rwanda, Kenya, 2020 - 2024
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Reference ID
WLD_2020-2024_GTPWIE_v01_M
Producer(s)
Tanay Balantrapu, Paul Christian, Lelys Dinarte-Diaz, Felipe Dunsch, Jonas Heirman, Dahyeon Jeong, Erin Kelley, Florence Kondylis, Gregory Lane, John Loeser
Metadata
Documentation in PDF DDI/XML JSON
Study website
Created on
May 13, 2025
Last modified
May 13, 2025
Page views
4
  • Study Description
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  • Identification
  • Version
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  • Sampling
  • Survey instrument
  • Data collection
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  • Metadata production
  • Identification

    Survey ID number

    WLD_2020-2024_GTPWIE_v01_M

    Title

    Does Gender Tagging Public Works Increase Women’s Participation? Experimental Evidence from Haiti, Kenya, and Rwanda 2020-2024

    Subtitle

    Baseline and Midline Surveys

    Abbreviation or Acronym

    GTPWIE 2020-24

    Country
    Name Country code
    Haiti HTI
    Rwanda RWA
    Kenya KEN
    Study type

    Other Household Survey [hh/oth]

    Abstract

    Public works programs often fail to induce participation by women in dual-headed households, with potential implications for closing gender gaps in autonomy. We randomize "Gender Tagging", labeling programs as "for women", in cash-for-work programs that target poor households in three countries (Haiti, Kenya, and Rwanda). Gender Tagging increases women's participation by 11-to-27 percentage points (29-190%) in contexts where women have low labor market attachment. We apply recent econometric methods to test effect heterogeneity across households, to show that Gender Tagging generates catch up: women least likely to participate under the status quo program experience the largest increase in participation from Gender Tagging.

    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis

    Households

    Version

    Version Date

    2025-03-01

    Coverage

    Geographic Coverage

    75 villages in Kenya, 78 villages in Rwanda, and 78 villages in Haiti

    Universe

    Sample of households who participated in the World Food Programme's Cash-for-Work intervention in Rwanda, Kenya, and Haiti.

    Producers and sponsors

    Primary investigators
    Name Affiliation
    Tanay Balantrapu World Bank
    Paul Christian World Bank
    Lelys Dinarte-Diaz World Bank
    Felipe Dunsch World Food Programme
    Jonas Heirman World Food Programme
    Dahyeon Jeong World Bank
    Erin Kelley University of Chicago
    Florence Kondylis World Bank
    Gregory Lane University of Chicago
    John Loeser World Bank
    Funding Agency/Sponsor
    Name Abbreviation
    World Bank Group WBG

    Sampling

    Sampling Procedure

    The impact evaluation used a cluster randomized control trial (RCT) design to assess the effects of being invited to participate in the programme. For details, consult the trial information in the following AEA registry link: https://www.socialscienceregistry.org/trials/5933. In each country, the selection of households to participate in the surveys was as follows:

    Haiti: Randomization occurred at the locality level. Within each selected locality, up to 30 households were randomly chosen, depending on the locality's size to be surveyed as part of the IE.

    Rwanda: Randomization occurred at the community level. In each community, WFP worked with local community leaders and government officials to identify approximately 15 of the most vulnerable households within each community.

    Kenya: Randomization occurred at the community level. In each community, WFP worked with local community leaders and government officials to identify approximately 20 of the most vulnerable households within each community.

    Survey instrument

    Methodology notes

    The indicators included in these datasets were constructed from deidentified data and are defined in the attached data dictionary. All baseline variables were standardized to have mean 0 and standard deviation 1 in the "Standard" treatment arm.

    Data collection

    Dates of Data Collection
    Start End Cycle
    2020-12-19 2020-12-30 Baseline - Rwanda
    2021-12-03 2021-12-19 Baseline - Kenya
    2023-04-25 2023-05-30 Baseline - Haiti
    2021-03-25 2022-06-06 Midline - Rwanda
    2023-02-26 2023-03-15 Midline - Kenya
    2023-12-09 2024-01-04 Midline - Haiti
    Mode of data collection
    • Computer Assisted Personal Interview [capi]

    Disclaimer and copyrights

    Disclaimer

    The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.

    Metadata production

    DDI Document ID

    DDI_WLD_2020-2024_GTPWIE_v01_M_WB

    Producers
    Name Abbreviation Affiliation Role
    Development Data Group DECDG World Bank Group Documentation of the survey
    Date of Metadata Production

    2025-05-13

    Metadata version

    DDI Document version

    Version 01 (May 2025)

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