Publication: Predicting School Dropout with Administrative Data: New Evidence from Guatemala and Honduras
dc.contributor.author | Adelman, Melissa | |
dc.contributor.author | Haimovich, Francisco | |
dc.date.accessioned | 2018-08-06T18:51:06Z | |
dc.date.available | 2018-08-06T18:51:06Z | |
dc.date.issued | 2018 | |
dc.description.abstract | School dropout is a growing concern across Latin America because of its negative social and economic consequences. Identifying who is likely to drop out, and therefore could be targeted for interventions, is a well-studied prediction problem in countries with strong administrative data. In this paper, we use new data in Guatemala and Honduras to estimate some of the first dropout prediction models for lower-middle income countries. These models correctly identify 80% of sixth grade students who will drop out within the next year, performing better than other commonly used targeting approaches and as well as models used in the United States. | en |
dc.identifier.citation | Education Economics | |
dc.identifier.doi | 10.1596/30146 | |
dc.identifier.issn | 0964-5292 | |
dc.identifier.uri | https://hdl.handle.net/10986/30146 | |
dc.publisher | Taylor and Francis | |
dc.rights | CC BY-NC-ND 3.0 IGO | |
dc.rights.holder | World Bank | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/igo | |
dc.subject | DROPOUT RATE | |
dc.subject | SCHOOL ADMINISTRATION | |
dc.subject | PRIMARY EDUCATION | |
dc.subject | SECONDARY EDUCATION | |
dc.subject | PREDICTION | |
dc.subject | EARLY WARNING SYSTEM | |
dc.subject | ENROLLMENT | |
dc.subject | BASIC EDUCATION | |
dc.title | Predicting School Dropout with Administrative Data | en |
dc.title.subtitle | New Evidence from Guatemala and Honduras | en |
dc.type | Journal Article | en |
dc.type | Article de journal | fr |
dc.type | ArtÃculo de revista | es |
dspace.entity.type | Publication | |
okr.associatedcontent | https://www.tandfonline.com/doi/full/10.1080/09645292.2018.1433127 Journal website (version of record) | en |
okr.associatedcontent | https://openknowledge.worldbank.org/handle/10986/27645 Working paper version (pre-print) | |
okr.crossref.title | Predicting School Dropout with Administrative Data: New Evidence from Guatemala and Honduras | |
okr.date.disclosure | 2019-08-02 | |
okr.doctype | Publications & Research | |
okr.doctype | Publications & Research::Journal Article | |
okr.externalcontent | External Content | |
okr.identifier.doi | 10.1080/09645292.2018.1433127 | |
okr.identifier.doi | 10.1596/30146 | |
okr.identifier.report | 129476 | |
okr.journal.nbpages | 356-72 | |
okr.language.supported | en | |
okr.peerreview | Academic Peer Review | |
okr.region.administrative | Latin America & Caribbean | |
okr.region.country | Guatemala | |
okr.region.country | Honduras | |
okr.region.geographical | Central America | |
okr.topic | Education::Access & Equity in Basic Education | |
okr.topic | Education::Economics of Education | |
okr.topic | Education::Education For All | |
okr.topic | Education::Education Reform and Management | |
okr.topic | Education::Educational Policy and Planning | |
okr.topic | Education::Effective Schools and Teachers | |
okr.topic | Education::Primary Education | |
okr.topic | Education::Secondary Education | |
okr.unit | Education Global Practice | |
okr.volume | 26(4) | |
relation.isAuthorOfPublication | 4b974ae0-3759-56b9-8fa0-93f6ba62849d | |
relation.isAuthorOfPublication | 954c8d3d-eebb-52de-9a50-b8121e2b3582 | |
relation.isAuthorOfPublication.latestForDiscovery | 954c8d3d-eebb-52de-9a50-b8121e2b3582 |
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