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Can Job Training Decrease Women’s Self-Defeating Biases?: Experimental Evidence from Nigeria

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dc.contributor.authorCroke, Kevin
dc.contributor.authorGoldstein, Markus
dc.contributor.authorHolla, Alaka
dc.date.accessioned2017-07-19T18:08:35Z
dc.date.available2017-07-19T18:08:35Z
dc.date.issued2017-07
dc.description.abstractOccupational segregation is a central contributor to the gap between male and female earnings worldwide. As new sectors of employment emerge, a key question is whether this pattern is replicated. This paper examines this question by focusing on the emerging information and communications technology sector in Nigeria. Using a randomized control trial, the paper examines the impacts of an information and communications technology training intervention that targeted university graduates in five major cities. The analysis finds that after two years the treatment group was 26 percent more likely to work in the information and communications technology sector. The program appears to have succeeded only in shifting employment to the new sector, as it had no average impact on the overall likelihood of being employed. However, viewed through the lens of occupational segregation, the program had a surprising effect. For women who at baseline were implicitly biased against associating women with professional attributes, the likelihood that the program induced switching into the information and communications technology sector was more than three times as large than that of unbiased women. These results suggest that training programs can help individuals overcome self-defeating biases that could hamper mobility and reduce efficiency in the labor market.en
dc.identifierhttp://documents.worldbank.org/curated/en/879141499698936934/Can-job-training-decrease-women-s-self-defeating-biases-experimental-evidence-from-Nigeria
dc.identifier.doi10.1596/1813-9450-8141
dc.identifier.urihttps://hdl.handle.net/10986/27644
dc.languageEnglish
dc.language.isoen_US
dc.publisherWorld Bank, Washington, DC
dc.relation.ispartofseriesPolicy Research Working Paper;No. 8141
dc.rightsCC BY 3.0 IGO
dc.rights.holderWorld Bank
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/igo
dc.subjectJOB TRAINING
dc.subjectGENDER
dc.subjectOCCUPATIONAL MOBILITY
dc.subjectLABOR MARKET
dc.subjectRANDOMIZED TRIAL
dc.subjectFORMAL TRAINING
dc.subjectAFRICA GENDER POLICY
dc.subjectGENDER INNOVATION LAB
dc.subjectWOMEN AND PRIVATE SECTOR DEVELOPMENT
dc.titleCan Job Training Decrease Women’s Self-Defeating Biases?en
dc.title.subtitleExperimental Evidence from Nigeriaen
dc.typeWorking Paperen
dc.typeDocument de travailfr
dc.typeDocumento de trabajoes
dspace.entity.typePublication
okr.crossref.titleCan Job Training Decrease Women's Self-Defeating Biases? Experimental Evidence from Nigeria
okr.date.disclosure2017-07-10
okr.doctypePublications & Research
okr.doctypePublications & Research::Policy Research Working Paper
okr.docurlhttp://documents.worldbank.org/curated/en/879141499698936934/Can-job-training-decrease-women-s-self-defeating-biases-experimental-evidence-from-Nigeria
okr.guid879141499698936934
okr.identifier.doi10.1596/1813-9450-8141
okr.identifier.externaldocumentum090224b088197dae_2_0
okr.identifier.internaldocumentum27714668
okr.identifier.reportWPS8141
okr.importedtrue
okr.language.supporteden
okr.pdfurlhttp://documents.worldbank.org/curated/en/879141499698936934/pdf/WPS8141.pdfen
okr.region.administrativeAfrica
okr.region.countryNigeria
okr.statistics.combined2921
okr.statistics.dr879141499698936934
okr.statistics.drstats2018
okr.topicEducation::Education For All
okr.topicGender::Gender and Education
okr.topicGender::Gender and Social Development
okr.topicSocial Protections and Labor::Skills Development and Labor Force Training
okr.unitGender Cross Cutting Solution Area
relation.isAuthorOfPublication442e6ddc-d567-5db8-8fea-62f71781ad6a
relation.isAuthorOfPublication.latestForDiscovery442e6ddc-d567-5db8-8fea-62f71781ad6a
relation.isSeriesOfPublication26e071dc-b0bf-409c-b982-df2970295c87
relation.isSeriesOfPublication.latestForDiscovery26e071dc-b0bf-409c-b982-df2970295c87
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