{"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/U3BIHX","ore:describes":{"citation:datasetContact":[{"citation:datasetContactName":"Banerjee, Abhijit","citation:datasetContactAffiliation":"Massachusetts Institute of Technology","citation:datasetContactEmail":"banerjee@mit.edu"},{"citation:datasetContactName":"Chandrasekhar, Arun G.","citation:datasetContactAffiliation":"Stanford University","citation:datasetContactEmail":"arungc@stanford.edu"},{"citation:datasetContactName":"Duflo, Esther","citation:datasetContactAffiliation":"Massachusetts Institute of Technology","citation:datasetContactEmail":"eduflo@mit.edu"},{"citation:datasetContactName":"Jackson, Matthew O.","citation:datasetContactAffiliation":"Stanford University","citation:datasetContactEmail":"jacksonm@stanford.edu"}],"publication":{"publicationCitation":"Abhijit Banerjee, Arun G. Chandrasekhar, Esther Duflo, and Matthew O. Jackson.  \"The Diffusion of Microfinance\"  Science 26 July 2013: 341 (6144), 1236498.","publicationIDType":"doi","publicationIDNumber":"10.1126/science.1236498","publicationURL":"https://doi.org/10.1126/science.1236498"},"citation:dsDescription":{"citation:dsDescriptionValue":"We examine how participation in a microfinance program diffuses through social networks. We collected detailed demographic and social network data in 43 villages in South India before microfinance was introduced in those villages and then tracked eventual participation. We exploit exogenous variation in the importance (in a network sense) of the people who were first informed about the program, \"the injection points\". Microfinance participation is higher when the injection points have higher eigenvector centrality. We estimate structural models of diffusion that allow us to (i) determine the relative roles of basic information transmission versus other forms of peer influence, and (ii) distinguish information passing by participants and non-participants. We find that participants are significantly more likely to pass information on to friends and acquaintances than informed non-participants, but that information passing by non-participants is still substantial and significant, accounting for roughly a third of informedness and participation. We also find that, conditioned on being informed, an individual's decision is not significantly affected by the participation of her acquaintances."},"author":[{"citation:authorName":"Banerjee, Abhijit","citation:authorAffiliation":"Massachusetts Institute of Technology","authorIdentifierScheme":"ORCID","authorIdentifier":"0000-0001-9923-6088"},{"citation:authorName":"Chandrasekhar, Arun G.","citation:authorAffiliation":"Stanford University"},{"citation:authorName":"Duflo, Esther","citation:authorAffiliation":"Massachusetts Institute of Technology","authorIdentifierScheme":"ORCID","authorIdentifier":"0000-0001-6105-617X"},{"citation:authorName":"Jackson, Matthew O.","citation:authorAffiliation":"Stanford University"}],"citation:distributor":{"citation:distributorName":"Abdul Latif Jameel Poverty Action Lab"},"geospatial:geographicCoverage":{"geospatial:otherGeographicCoverage":"rural southern Karnataka"},"subject":"Social Sciences","dateOfDeposit":"2013-05-22","citation:distributionDate":"2013-05-22","title":"The Diffusion of Microfinance","@id":"https://doi.org/10.7910/DVN/U3BIHX","@type":["ore:Aggregation","schema:Dataset"],"schema:version":"9.4","schema:name":"The Diffusion of Microfinance","schema:dateModified":"Mon Jun 24 15:54:53 UTC 2019","schema:datePublished":"2013-05-22","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":"The Abdul Latif Jameel Poverty Action Lab Dataverse","@id":"https://dataverse.harvard.edu/dataverse/jpal","schema:description":"The Abdul Latif Jameel Poverty Action Lab (J-PAL) is a network of affiliated professors from over forty universities. Our mission is to reduce poverty by ensuring that policy is informed by scientific evidence. We do this through research, policy outreach, and training across six regional offices worldwide.","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. 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