{"dcterms:modified":"2025-04-01","dcterms:creator":"Harvard Dataverse","@type":"ore:ResourceMap","schema:additionalType":"Dataverse OREMap Format v1.0.1","dvcore:generatedBy":{"@type":"schema:SoftwareApplication","schema:name":"Dataverse","schema:version":"6.6 build 1829-192cdc4","schema:url":"https://github.com/iqss/dataverse"},"@id":"https://dataverse.harvard.edu/api/datasets/export?exporter=OAI_ORE&persistentId=https://doi.org/10.7910/DVN/QA0R1O","ore:describes":{"citation:keyword":[{"citation:keywordValue":"Employment"},{"citation:keywordValue":"Poverty"},{"citation:keywordValue":"Gender"},{"citation:keywordValue":"Cash transfers"},{"citation:keywordValue":"Microenterprise"},{"citation:keywordValue":"Empowerment"},{"citation:keywordValue":"Intra-household bargaining"},{"citation:keywordValue":"Post-conflict"},{"citation:keywordValue":"Uganda"},{"citation:keywordValue":"Field experiment"}],"citation:dateOfCollection":{"citation:dateOfCollectionStart":"2009","citation:dateOfCollectionEnd":"2011"},"citation:datasetContact":{"citation:datasetContactName":"Research Transparency, Data Ethics, and Governance","citation:datasetContactAffiliation":"Innovations for Poverty Action","citation:datasetContactEmail":"transparency@poverty-action.org"},"software":{"citation:softwareName":"Stata","citation:softwareVersion":"13"},"author":[{"citation:authorName":"Annan, Jeannie","citation:authorAffiliation":"International Rescue Committee"},{"citation:authorName":"Blattman, Christopher","citation:authorAffiliation":"Columbia University"},{"citation:authorName":"Green, Eric","citation:authorAffiliation":"Duke University Global Health Institute"},{"citation:authorName":"Jamison, Julian","citation:authorAffiliation":"Consumer Financial Protection Bureau"}],"citation:dsDescription":{"citation:dsDescriptionValue":"In 2007, the NGO AVSI Uganda and two of the IPA Investigators surveyed more than 600 young females aged 14 to 35 affected by the conflict in northern Uganda, including more than 200 women formerly abducted by an armed group. The evidence from the survey, along with program experience among NGOs in northern Uganda, suggests that the development of new economic opportunities and building social capital will be crucial ingredients in reducing poverty and improving the health, education and psychosocial well-being of youth, especially young women."},"grantNumber":[{"citation:grantNumberAgency":"World Bank Learning on Gender and Conflict in Africa (LOGiCA) trust fund"},{"citation:grantNumberAgency":"Vanguard charitable trust"}],"geospatial:geographicCoverage":[{"geospatial:country":"Uganda"},{"geospatial:state":"Kitgum and Gulu districts"}],"language":"English","socialscience:dataCollector":"Innovations for Poverty Action","citation:depositor":"Research Support, Innovations for Poverty Action","kindOfData":"Survey data","socialscience:unitOfAnalysis":"Individual","citation:relatedMaterial":["http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2439488","http://www.sciencedirect.com/science/article/pii/S0277953615001951"],"socialscience:collectionMode":"In-person interviews","socialscience:samplingProcedure":"120 communities chose 15 to 20 of their neediest residents for the program and grant. The full sample totaled 1,800. In October 2009, 60 communities were randomly chosen to have all of their nominated residents receive the program and cash. We refer to this period as Phase 1. 16 months later, the other 60 received the treatment (Phase 2).","dateOfDeposit":"2015-11-13","socialscience:universe":"Extremely poor, war-affected women","subject":["Medicine, Health and Life Sciences","Social Sciences"],"title":"Enterprises for Ultra Poor Women After War: The WINGS Program in Northern Uganda","@id":"https://doi.org/10.7910/DVN/QA0R1O","@type":["ore:Aggregation","schema:Dataset"],"schema:version":"3.1","schema:name":"Enterprises for Ultra Poor Women After War: The WINGS Program in Northern Uganda","schema:dateModified":"Wed Nov 13 13:17:22 UTC 2019","schema:datePublished":"2015-11-16","schema:creativeWorkStatus":"RELEASED","schema:license":"http://creativecommons.org/publicdomain/zero/1.0","dvcore:fileTermsOfAccess":{"dvcore:fileRequestAccess":false},"schema:includedInDataCatalog":"Harvard Dataverse","schema:isPartOf":{"schema:name":"Innovations for Poverty Action Dataverse","@id":"https://dataverse.harvard.edu/dataverse/ipa","schema:description":"Innovations for Poverty Action (IPA) is a research and policy nonprofit that discovers and promotes effective solutions to global poverty problems. IPA brings together researchers and decision-makers to design, rigorously evaluate, and refine these solutions and their applications, ensuring that the evidence created is used to improve the lives of the world’s poor. Learn more about our research transparency work at: poverty-action.org/research-transparency.","schema:isPartOf":{"schema:name":"Datahub for Field Experiments in Economics and Public Policy","@id":"https://dataverse.harvard.edu/dataverse/DFEEP","schema:description":"This repository contains mostly data from randomized experiments in the social sciences, including data from studies run by researchers associated with Innovations for Poverty Action (IPA) and the Abdul Latif Jameel Poverty Action Lab (J-PAL). Data, statistical code underlying published research results, surveys, and documentation are included. To download all materials from a study, locate the zip folder called \"Dataverse materials\" within each study. Each organization is responsible for curating and managing their own data. Contact for questions/comments: IPA (transparency@poverty-action.org) or J-PAL (data@povertyactionlab.org).","schema:isPartOf":{"schema:name":"Harvard Dataverse","@id":"https://dataverse.harvard.edu/dataverse/harvard","schema:description":"<span><span><span><h3>Share, archive, and get credit for your data. Find and cite data across all research fields.</h3></span></span></span>"}}},"ore:aggregates":[{"schema:description":"User-written commands needed to run the code.","schema:name":"ado files.zip","dvcore:restricted":false,"schema:version":1,"dvcore:datasetVersionId":177645,"dvcore:categories":["ADO Files"],"@id":"doi:10.7910/DVN/QA0R1O/LIHBEX","schema:sameAs":"https://dataverse.harvard.edu/api/access/datafile/:persistentId?persistentId=doi:10.7910/DVN/QA0R1O/LIHBEX","@type":"ore:AggregatedResource","schema:fileFormat":"application/zip","dvcore:filesize":1746,"dvcore:storageIdentifier":"s3://dvn-cloud:15111225e2c-8da15eb18aeb","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"a2bdf45fa593e76cde0b891e71c1fc1e"}},{"schema:description":"Contains codebooks of all variables by dataset.","schema:name":"Codebook.zip","dvcore:restricted":false,"schema:version":2,"dvcore:datasetVersionId":177645,"dvcore:categories":["Codebooks","Documentation"],"@id":"doi:10.7910/DVN/QA0R1O/HFDNES","schema:sameAs":"https://dataverse.harvard.edu/api/access/datafile/:persistentId?persistentId=doi:10.7910/DVN/QA0R1O/HFDNES","@type":"ore:AggregatedResource","schema:fileFormat":"application/zip","dvcore:filesize":1265413,"dvcore:storageIdentifier":"s3://dvn-cloud:15111224bd9-6fd72a48b96b","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"6913d45bbda6a93998dd9e5d31b78af2"}},{"schema:description":"Stata code to construct variables and datasets.","schema:name":"Data Construction.do","dvcore:restricted":false,"schema:version":1,"dvcore:datasetVersionId":177645,"dvcore:categories":["Code"],"@id":"doi:10.7910/DVN/QA0R1O/OG75ZQ","schema:sameAs":"https://dataverse.harvard.edu/api/access/datafile/:persistentId?persistentId=doi:10.7910/DVN/QA0R1O/OG75ZQ","@type":"ore:AggregatedResource","schema:fileFormat":"application/x-stata-syntax","dvcore:filesize":65173,"dvcore:storageIdentifier":"s3://dvn-cloud:1511121e00a-c2f877fee131","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"1f785f7ac80dfe14e116db6f4e22299c"}},{"schema:description":"Contains all datasets (raw and final) associated with the study.","schema:name":"Data.zip","dvcore:restricted":false,"schema:version":1,"dvcore:datasetVersionId":177645,"dvcore:categories":["Data"],"@id":"doi:10.7910/DVN/QA0R1O/LDLBJS","schema:sameAs":"https://dataverse.harvard.edu/api/access/datafile/:persistentId?persistentId=doi:10.7910/DVN/QA0R1O/LDLBJS","@type":"ore:AggregatedResource","schema:fileFormat":"application/zip","dvcore:filesize":64509382,"dvcore:storageIdentifier":"s3://dvn-cloud:15111272979-635b746710b5","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"03bac21b68149a0dafe6fe028a6d872f"}},{"schema:description":"The original readme document that accompanies the data and code. Contains information on how the data was constructed, the files needed to reproduce all tables, what is included in the data, and basic information about the study.","schema:name":"Documentation.pdf","dvcore:restricted":false,"schema:version":1,"dvcore:datasetVersionId":177645,"dvcore:categories":["Documentation","Readme"],"@id":"doi:10.7910/DVN/QA0R1O/Y9AG4L","schema:sameAs":"https://dataverse.harvard.edu/api/access/datafile/:persistentId?persistentId=doi:10.7910/DVN/QA0R1O/Y9AG4L","@type":"ore:AggregatedResource","schema:fileFormat":"application/pdf","dvcore:filesize":262486,"dvcore:storageIdentifier":"s3://dvn-cloud:1511121a8cc-c2c88fb4dae4","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"6e3dbd7550a186e4018c8d13aac86591"}},{"schema:description":"Stata code used to produce the tables associated with \"The returns to cash and microenterprise support among the ultra-poor: A ﬁeld experiment.\"","schema:name":"Economics Paper Analysis.do","dvcore:restricted":false,"schema:version":1,"dvcore:datasetVersionId":177645,"dvcore:categories":["Code"],"@id":"doi:10.7910/DVN/QA0R1O/ODOIBH","schema:sameAs":"https://dataverse.harvard.edu/api/access/datafile/:persistentId?persistentId=doi:10.7910/DVN/QA0R1O/ODOIBH","@type":"ore:AggregatedResource","schema:fileFormat":"application/x-stata-syntax","dvcore:filesize":54599,"dvcore:storageIdentifier":"s3://dvn-cloud:1511121dfb1-54e509d6b8e8","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"5d25e6d1306692d8342e5e08a045e298"}},{"schema:description":"Master Stata code used to run all other do-files.","schema:name":"MASTER.do","dvcore:restricted":false,"schema:version":1,"dvcore:datasetVersionId":177645,"dvcore:categories":["Code"],"@id":"doi:10.7910/DVN/QA0R1O/HZVDNR","schema:sameAs":"https://dataverse.harvard.edu/api/access/datafile/:persistentId?persistentId=doi:10.7910/DVN/QA0R1O/HZVDNR","@type":"ore:AggregatedResource","schema:fileFormat":"application/x-stata-syntax","dvcore:filesize":591,"dvcore:storageIdentifier":"s3://dvn-cloud:1511121ddf9-f5b0d927478d","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"7d07080684d41de819bcc205a68034c6"}},{"schema:description":"Contains all surveys and manuals used in the study.","schema:name":"Other.zip","dvcore:restricted":false,"schema:version":1,"dvcore:datasetVersionId":177645,"dvcore:categories":["Surveys"],"@id":"doi:10.7910/DVN/QA0R1O/3RVMQ9","schema:sameAs":"https://dataverse.harvard.edu/api/access/datafile/:persistentId?persistentId=doi:10.7910/DVN/QA0R1O/3RVMQ9","@type":"ore:AggregatedResource","schema:fileFormat":"application/zip","dvcore:filesize":3128146,"dvcore:storageIdentifier":"s3://dvn-cloud:15111221f07-1ffabca9fc6a","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"76770f495eae4c00073bfceac6aa4648"}},{"schema:description":"Stata code used to produce tables for \"Women’s entrepreneurship and intimate partner violence: A cluster randomized trial of microenterprise assistance and partner participation in post-conﬂict Uganda.\"","schema:name":"SSM Analysis.do","dvcore:restricted":false,"schema:version":1,"dvcore:datasetVersionId":177645,"dvcore:categories":["Code"],"@id":"doi:10.7910/DVN/QA0R1O/LWPQNE","schema:sameAs":"https://dataverse.harvard.edu/api/access/datafile/:persistentId?persistentId=doi:10.7910/DVN/QA0R1O/LWPQNE","@type":"ore:AggregatedResource","schema:fileFormat":"application/x-stata-syntax","dvcore:filesize":56239,"dvcore:storageIdentifier":"s3://dvn-cloud:1511121e3b9-d962f612e95c","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"40199dd2e21676ea43b3960f069473c2"}},{"schema:description":"Social Science & Medicine publication with appendix.","schema:name":"SSM Paper and Online Appendix.pdf","dvcore:restricted":false,"schema:version":1,"dvcore:datasetVersionId":177645,"@id":"doi:10.7910/DVN/QA0R1O/1TA1A9","schema:sameAs":"https://dataverse.harvard.edu/api/access/datafile/:persistentId?persistentId=doi:10.7910/DVN/QA0R1O/1TA1A9","@type":"ore:AggregatedResource","schema:fileFormat":"application/pdf","dvcore:filesize":2172005,"dvcore:storageIdentifier":"s3://dvn-cloud:15b1ba48dc6-aeb3797f66da","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"f297b686b27e717ff7d2a30f2745cce0"}},{"schema:description":"Contains files needed for replication (data, code, ado files, surveys, codebooks) in the proper folder structure, as well as Readme file.","schema:name":"WINGS Dataverse Files.zip","dvcore:restricted":false,"schema:version":1,"dvcore:datasetVersionId":177645,"dvcore:categories":["Zip file"],"@id":"doi:10.7910/DVN/QA0R1O/EAPDKS","schema:sameAs":"https://dataverse.harvard.edu/api/access/datafile/:persistentId?persistentId=doi:10.7910/DVN/QA0R1O/EAPDKS","@type":"ore:AggregatedResource","schema:fileFormat":"application/zip","dvcore:filesize":138591003,"dvcore:storageIdentifier":"s3://dvn-cloud:151121969ad-32d7d2f1cd2a","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"401299fef00369b966e14d0cf08bb387"}}],"schema:hasPart":["doi:10.7910/DVN/QA0R1O/LIHBEX","doi:10.7910/DVN/QA0R1O/HFDNES","doi:10.7910/DVN/QA0R1O/OG75ZQ","doi:10.7910/DVN/QA0R1O/LDLBJS","doi:10.7910/DVN/QA0R1O/Y9AG4L","doi:10.7910/DVN/QA0R1O/ODOIBH","doi:10.7910/DVN/QA0R1O/HZVDNR","doi:10.7910/DVN/QA0R1O/3RVMQ9","doi:10.7910/DVN/QA0R1O/LWPQNE","doi:10.7910/DVN/QA0R1O/1TA1A9","doi:10.7910/DVN/QA0R1O/EAPDKS"]},"@context":{"author":"http://purl.org/dc/terms/creator","citation":"https://dataverse.org/schema/citation/","dateOfDeposit":"http://purl.org/dc/terms/dateSubmitted","dcterms":"http://purl.org/dc/terms/","dvcore":"https://dataverse.org/schema/core#","geospatial":"https://dataverse.harvard.edu/schema/geospatial#","grantNumber":"https://schema.org/sponsor","kindOfData":"http://rdf-vocabulary.ddialliance.org/discovery#kindOfData","language":"http://purl.org/dc/terms/language","ore":"http://www.openarchives.org/ore/terms/","schema":"http://schema.org/","socialscience":"https://dataverse.harvard.edu/schema/socialscience#","software":"https://www.w3.org/TR/prov-o/#wasGeneratedBy","subject":"http://purl.org/dc/terms/subject","title":"http://purl.org/dc/terms/title"}}