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Part 1: Document Description
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Citation |
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Title: |
Women's Empowerment Metric for National Statistical Systems (WEMNS) |
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Identification Number: |
doi:10.7910/DVN/FWWLLG |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2023-11-21 |
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Version: |
7 |
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Bibliographic Citation: |
International Food Policy Research Institute (IFPRI); Emory University; World Bank; Oxford University; National Statistical Office, Malawi; Data Analysis and Technical Assistance (DATA) Limited; Vox Latina, Guatemala; Interdisciplinary Analysts, Nepal, 2023, "Women's Empowerment Metric for National Statistical Systems (WEMNS)", https://doi.org/10.7910/DVN/FWWLLG, Harvard Dataverse, V7 |
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Citation |
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Title: |
Women's Empowerment Metric for National Statistical Systems (WEMNS) |
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Identification Number: |
doi:10.7910/DVN/FWWLLG |
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Authoring Entity: |
International Food Policy Research Institute (IFPRI) |
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Emory University |
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World Bank |
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Oxford University |
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National Statistical Office, Malawi |
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Data Analysis and Technical Assistance (DATA) Limited |
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Vox Latina, Guatemala |
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Interdisciplinary Analysts, Nepal |
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Other identifications and acknowledgements: |
Faas, Simone (International Food Policy Research Institute (IFPRI)) |
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Other identifications and acknowledgements: |
Heckert, Jessica (International Food Policy Research Institute (IFPRI)) |
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Other identifications and acknowledgements: |
Malapit, Hazel (International Food Policy Research Institute (IFPRI)) |
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Other identifications and acknowledgements: |
Meinzen-Dick, Ruth (International Food Policy Research Institute (IFPRI)) |
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Other identifications and acknowledgements: |
Myers, Emily (International Food Policy Research Institute (IFPRI)) |
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Other identifications and acknowledgements: |
Paz, Flor (International Food Policy Research Institute (IFPRI)) |
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Other identifications and acknowledgements: |
Quisumbing, Agnes (International Food Policy Research Institute (IFPRI)) |
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Other identifications and acknowledgements: |
Seymour, Greg (International Food Policy Research Institute (IFPRI)) |
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Other identifications and acknowledgements: |
Cheong, Yuk Fai (Emory University) |
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Other identifications and acknowledgements: |
Johnson, Erin (Emory University) |
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Other identifications and acknowledgements: |
Sinharoy, Sheela (Emory University) |
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Other identifications and acknowledgements: |
Yount, Kathryn (Emory University) |
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Other identifications and acknowledgements: |
Drazi, Wibert Vundru (World Bank) |
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Other identifications and acknowledgements: |
Kilic, Talip (World Bank) |
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Other identifications and acknowledgements: |
Moylan, Heather (World Bank) |
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Other identifications and acknowledgements: |
Doss, Cheryl (Oxford University |
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Other identifications and acknowledgements: |
Kanyanda, Shelton (National Statistical Office, Malawi) |
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Other identifications and acknowledgements: |
Hassan, Zahid (Data Analysis and Technical Assistance (DATA) Limited) |
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Other identifications and acknowledgements: |
Simon, Imrul Hassan (Data Analysis and Technical Assistance (DATA) Limited) |
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Other identifications and acknowledgements: |
Dardón, Monica (Vox Latina, Guatemala) |
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Other identifications and acknowledgements: |
Pokhrel, Pankaj (Interdisciplinary Analysts, Nepal) |
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Other identifications and acknowledgements: |
Sharma, Sudhindra (Interdisciplinary Analysts, Nepal) |
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Other identifications and acknowledgements: |
CGIAR Research Program on Agriculture for Nutrition and Health (A4NH) |
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Producer: |
International Food Policy Research Institute (IFPRI) |
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Date of Production: |
2023 |
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Distributor: |
Harvard Dataverse |
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Distributor: |
International Food Policy Research Institute (IFPRI) |
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Access Authority: |
IFPRI-Data |
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Depositor: |
IFPRI-KM |
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Date of Deposit: |
2023-11-17 |
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Date of Distribution: |
2024 |
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Series Name: |
Household- and Community-level Surveys |
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Holdings Information: |
https://doi.org/10.7910/DVN/FWWLLG |
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Study Scope |
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Keywords: |
Agricultural Sciences, Social Sciences, women's empowerment, equality, leadership, legal rights, ownership, decision making, information and communication technologies, sexual violence |
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Topic Classification: |
Agricultural production, Gender, Poverty |
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Abstract: |
The Women’s Empowerment Metric for National Statistical Systems (WEMNS) is a streamlined tool for measuring empowerment. It is intended for use in large-scale, multitopic surveys in both rural and urban areas and is relevant across a wide range of livelihood strategies. WEMNS was developed by the International Food Policy Research Institute (IFPRI), Emory University, Oxford University, and the World Bank’s Living Standards Measurement Study Unit in collaboration with country partners in Bangladesh, Guatemala, Malawi, and Nepal . This work was funded by the Bill & Melinda Gates Foundation and the United States Agency for International Development. </p> WEMNS has 12 indicators mapped to one of four domains: Intrinsic agency, instrumental agency, collective agency, and agency-enabling resources. WEMNS is calculated using a counting-based methodology: Respondents are first identified to be either adequate or inadequate in each indicator with respect to a specified threshold, and then they are identified as empowered or disempowered based on the number of indicators in which they achieve adequacy. The exact number of indicators required to be considered “empowered” will be determined once WEMNS has been piloted at scale. Aggregation of indicators in WEMNS is simple: Each of the four domains are equally weighted, and within those domains, each indicator is equally weighted. However, because women’s experience of empowerment—and their critical consciousness related to four of the indicators—is very different from men’s, only eight of the 12 indicators are used to calculate men’s empowerment. An advantage of WEMNS is its decomposability, allowing researchers and policymakers to see to what extent each indicator contributes to disempowerment. |
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Kind of Data: |
sample survey data (SSD) |
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Kind of Data: |
survey tool |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Citation Requirement: |
International Food Policy Research Institute (IFPRI); Emory University; World Bank; Oxford University; National Statistical Office, Malawi; Data Analysis and Technical Assistance (DATA) Limited; Vox Latina, Guatemala; Interdisciplinary Analysts, Nepal. 2023. Women's Empowerment Metric for National Statistical Systems (WEMNS). Washington, DC: IFPRI [Survey Tool]. <a href="https://doi.org/10.7910/DVN/FWWLLG">https://doi.org/10.7910/DVN/FWWLLG</a>. Harvard Dataverse. Version 7. |
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Conditions: |
We aim to gather additional information regarding your use of the WEMNS tool to better track users and provide the latest information and guidance on the tool. Kindly provide the details asked in the guestbook related to your project where you are considering using WEMNS as relevant. |
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Disclaimer: |
<p>IFPRI adheres to the principle of unrestricted public access to its own final research outputs and will make such outputs freely available. The Institute encourages the use of this dataset; for detailed information on its use, please refer to <a href="https://www.ifpri.org/intellectual-property-policy">IFPRI’s Intellectual Property Policy</a>. The data files in this dataset are unit record or ‘raw’ data files. Information that would allow survey respondents to be identified has been deleted from the files, but all other information remains. IFPRI’s decision not to alter the contents of the data files means that the user of these files will need to take care in handling missing observations, outliers, and violations of logical consistency. </p><p>The data are provided ‘as is’ and in no event shall IFPRI be liable for any damages resulting from the use of the data. While great effort was taken to obtain high-quality data, the accuracy or reliability of the data is not guaranteed or warranted in any way.</p> |
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Other Study Description Materials |
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Related Materials |
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<a href="https://www.ifpri.org/blog/developing-womens-empowerment-metric-national-statistical-systems">Developing a Women’s Empowerment Metric for National Statistical Systems</a> |
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</p><a href="https://www.ifpri.org/blog/introducing-womens-empowerment-metric-national-statistical-systems-wemns">Introducing the Women’s Empowerment Metric for National Statistical Systems (WEMNS)</a> |
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Label: |
WEMNS FTF Core.pdf |
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Notes: |
application/pdf |
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Label: |
1_WEMNS Dataprep.do |
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Notes: |
application/x-stata-syntax |
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Label: |
2_WEMNS Calculation.do |
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Notes: |
application/x-stata-syntax |