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  <identifier identifierType="DOI">10.7910/DVN/ZZRV3J</identifier>
  <creators>
    <creator>
      <creatorName nameType="Organizational">International Food Policy Research Institute (IFPRI)</creatorName>
    </creator>
  </creators>
  <titles>
    <title>Replication Data for: Development of the Project-Level Women’s Empowerment in Agriculture Index (pro-WEAI)</title>
  </titles>
  <publisher>Harvard Dataverse</publisher>
  <publicationYear>2020</publicationYear>
  <subjects>
    <subject>Social Sciences</subject>
    <subject>Agricultural Sciences</subject>
    <subject schemeURI="http://aims.fao.org/aos/agrovoc/c_03ae1678" subjectScheme="AGROVOC">gender equality</subject>
    <subject schemeURI="http://aims.fao.org/aos/agrovoc/c_f1c72537" subjectScheme="AGROVOC">women&amp;apos;s empowerment</subject>
  </subjects>
  <contributors>
    <contributor contributorType="Producer">
      <contributorName nameType="Organizational">International Food Policy Research Institute (IFPRI)</contributorName>
    </contributor>
    <contributor contributorType="Distributor">
      <contributorName nameType="Organizational">International Food Policy Research Institute (IFPRI)</contributorName>
    </contributor>
    <contributor contributorType="ContactPerson">
      <contributorName nameType="Personal">IFPRI-Data</contributorName>
      <affiliation>International Food Policy Research Institute (IFPRI)</affiliation>
    </contributor>
    <contributor contributorType="Researcher">
      <contributorName nameType="Organizational">Heckert, Jessica (International Food Policy Research Institute (IFPRI))</contributorName>
    </contributor>
    <contributor contributorType="Researcher">
      <contributorName nameType="Organizational">Malapit, Hazel (International Food Policy Research Institute (IFPRI))</contributorName>
    </contributor>
    <contributor contributorType="Researcher">
      <contributorName nameType="Organizational">Martinez, Elena M. (International Food Policy Research Institute (IFPRI))</contributorName>
    </contributor>
    <contributor contributorType="Researcher">
      <contributorName nameType="Organizational">Meinzen-Dick, Ruth (International Food Policy Research Institute (IFPRI))</contributorName>
    </contributor>
    <contributor contributorType="Researcher">
      <contributorName nameType="Organizational">Quisumbing, Agnes (International Food Policy Research Institute (IFPRI))</contributorName>
    </contributor>
    <contributor contributorType="Researcher">
      <contributorName nameType="Personal">Rubin, Deborah (Cultural Practice, LLC, USA)</contributorName>
      <givenName>Deborah</givenName>
    </contributor>
    <contributor contributorType="Researcher">
      <contributorName nameType="Organizational">Seymour, Greg (International Food Policy Research Institute (IFPRI))</contributorName>
    </contributor>
    <contributor contributorType="Researcher">
      <contributorName nameType="Organizational">Yount, Kathryn M. (Emory University, USA)</contributorName>
    </contributor>
    <contributor contributorType="Researcher">
      <contributorName nameType="Organizational">Vaz, Ana (Oxford Poverty and Human Development Initiative, United Kingdom)</contributorName>
    </contributor>
    <contributor contributorType="Researcher">
      <contributorName nameType="Organizational">Gender Agriculture Assets Project Phase 2 Study Team</contributorName>
    </contributor>
  </contributors>
  <dates>
    <date dateType="Issued">2020</date>
    <date dateType="Created">2019</date>
    <date dateType="Submitted">2020-05-04</date>
    <date dateType="Available">2020-05-18</date>
  </dates>
  <resourceType resourceTypeGeneral="Dataset">sample survey data (SSD)</resourceType>
  <relatedIdentifiers>
    <relatedIdentifier relationType="IsSupplementTo" relatedIdentifierType="DOI">10.1016/J.WORLDDEV.2019.06.018</relatedIdentifier>
    <relatedIdentifier relationType="HasPart" relatedIdentifierType="DOI">10.7910/DVN/ZZRV3J/LGWNGX</relatedIdentifier>
    <relatedIdentifier relationType="HasPart" relatedIdentifierType="DOI">10.7910/DVN/ZZRV3J/UHTXHA</relatedIdentifier>
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    <relatedIdentifier relationType="HasPart" relatedIdentifierType="DOI">10.7910/DVN/ZZRV3J/NQZWLC</relatedIdentifier>
    <relatedIdentifier relationType="HasPart" relatedIdentifierType="DOI">10.7910/DVN/ZZRV3J/S9U6HE</relatedIdentifier>
    <relatedIdentifier relationType="HasPart" relatedIdentifierType="DOI">10.7910/DVN/ZZRV3J/JGFEAB</relatedIdentifier>
    <relatedIdentifier relationType="HasPart" relatedIdentifierType="DOI">10.7910/DVN/ZZRV3J/T5ULYK</relatedIdentifier>
    <relatedIdentifier relationType="HasPart" relatedIdentifierType="DOI">10.7910/DVN/ZZRV3J/A6FSZG</relatedIdentifier>
    <relatedIdentifier relationType="HasPart" relatedIdentifierType="DOI">10.7910/DVN/ZZRV3J/3JJ82A</relatedIdentifier>
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  <version>1.0</version>
  <rightsList>
    <rights rightsURI="info:eu-repo/semantics/openAccess"/>
    <rights rightsURI="https://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.7910/DVN/ZZRV3J">Custom terms specific to this dataset</rights>
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  <descriptions>
    <description descriptionType="Abstract">The project-level Women’s Empowerment in Agriculture Index (pro-WEAI) is a survey-based index designed for use by agriculture development projects to measure project impacts on women’s empowerment, diagnose areas of women’s disempowerment, and inform strategies to address deficiencies in specific settings. Pro-WEAI was developed jointly by the International Food Policy Research Institute (IFPRI), the Oxford Poverty and Human Development Initiative (OPHI), and 13 agricultural development projects in Africa and South Asia as part of the Gender, Agriculture, and Assets Project, Phase 2 (GAAP2). Pro-WEAI is an adaptation of the Women’s Empowerment in Agriculture Index (WEAI), originally developed in 2012 by IFPRI, the United States Agency for International Development (USAID), and OPHI. This data package contains baseline data from five GAAP2 projects and Stata .do files necessary for replicating the results of Malapit et al. (2019). The data include all items needed to calculate pro-WEAI, as well as the basic demographic information (gender and household type) used in the analysis.</description>
    <description descriptionType="SeriesInformation">Household- and Community-level Surveys</description>
  </descriptions>
  <geoLocations>
    <geoLocation>
      <geoLocationPlace>Bangladesh</geoLocationPlace>
    </geoLocation>
    <geoLocation>
      <geoLocationPlace>Burkina Faso</geoLocationPlace>
    </geoLocation>
    <geoLocation>
      <geoLocationPlace>Mali</geoLocationPlace>
    </geoLocation>
    <geoLocation>
      <geoLocationPlace>Washington, DC</geoLocationPlace>
    </geoLocation>
  </geoLocations>
  <fundingReferences>
    <fundingReference>
      <funderName>Bill &amp;amp; Melinda Gates Foundation (BMGF)</funderName>
    </fundingReference>
    <fundingReference>
      <funderName>United States Agency for International Development (USAID)</funderName>
    </fundingReference>
    <fundingReference>
      <funderName>CGIAR Research Program on Agriculture for Nutrition and Health (A4NH)</funderName>
    </fundingReference>
    <fundingReference>
      <funderName>Bill &amp;amp; Melinda Gates Foundation (BMGF)</funderName>
      <awardNumber>OPP1125297</awardNumber>
    </fundingReference>
    <fundingReference>
      <funderName>United States Agency for International Development (USAID)</funderName>
      <awardNumber>EEM-G-00-04-00013-00</awardNumber>
    </fundingReference>
  </fundingReferences>
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