Publication:
Minding the Gap: Aid Effectiveness, Project Ratings and Contextualization

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creativework.datePublishedReceived: 31 January 2024 Revision received: 17 January 2025 Accepted: 12 February 2025 Published: 27 February 2025
dc.contributor.authorGoldemberg, Diana
dc.contributor.authorJordan, Luke
dc.contributor.authorKenyon, Thomas
dc.date.accessioned2025-04-03T17:55:34Z
dc.date.available2025-04-03T17:55:34Z
dc.date.issued2025-04-03
dc.description.abstractThis paper applies novel techniques to long-standing questions of aid effectiveness. It constructs a new data set using machine-learning methods to encode aspects of development project documents that would be infeasible with manual methods. It then uses that data set to show that the strongest predictor of these projects’ contributions to development outcomes is not the self-evaluation ratings assigned by donors, but their degree of adaptation to country context and that the largest differences between ratings and actual impact occur in large projects in institutionally weak settings. It also finds suggestive evidence that the content of ex post reviews of project effectiveness may predict sector outcomes, even if ratings do not.en
dc.identifier.citationThe World Bank Economic Review
dc.identifier.doi10.1093/wber/lhaf005
dc.identifier.doi10.1596/43016
dc.identifier.issn0258-6770
dc.identifier.urihttps://hdl.handle.net/10986/43016
dc.language.isoen_US
dc.publisherOxford University on behalf of the World Bank
dc.relation.ispartofseriesThe World Bank Economic Review
dc.rightsCC BY 3.0 IGO
dc.rights.holderWorld Bank
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/igo/
dc.subjectAID EFFECTIVENESS
dc.subjectMACHINE LEARNING
dc.subjectWORLD BANK PROJECTS
dc.titleMinding the Gap: Aid Effectiveness, Project Ratings and Contextualizationen
dc.typeJournal Article
dspace.entity.typePublication
okr.date.disclosure2025-04-03
okr.date.doiregistration2025-04-14T11:58:45.053660Z
okr.doctypePublications & Research
okr.doctypePublications & Research::Journal Article
okr.identifier.doi10.1093/wber/lhaf005
okr.peerreviewAcademic Peer Review
okr.region.geographicalWorld
okr.topicMacroeconomics and Economic Growth::Development Economics & Aid Effectiveness
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