Publication:
Understanding Labor Market Demand in Real Time in Argentina and Uruguay

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dc.contributor.authorVezza, Evelyn
dc.contributor.authorZunino, Gonzalo
dc.contributor.authorLaguinge, Luis
dc.contributor.authorMoroz, Harry
dc.contributor.authorApella, Ignacio Raúl
dc.contributor.authorSpivack, Marla
dc.date.accessioned2025-03-18T13:52:13Z
dc.date.available2025-03-18T13:52:13Z
dc.date.issued2025-03-18
dc.description.abstractThis paper explores how job vacancy data can enhance labor market information systems (LMISs) in Argentina and Uruguay where, as in many countries, data on in-demand skills is lacking. By analyzing job postings collected over four years in Argentina and Uruguay, this study assesses the potential of vacancy data to fill labor market data gaps. The findings reveal that vacancy data capture labor market dynamics across time and geography, showing a strong correlation with traditional labor market indicators such as employment and unemployment. However, the data are biased towards higher-skilled occupations. Despite these limitations, the large volume of postings allows for robust inferences and provides valuable insights into skills demand. The study presents three key applications of the data: 1) using postings as a leading indicator of labor market health; 2) identifying in-demand skills; and 3) mapping similarities between occupations to improve the information available to job counselors to provide advice about job transitions. Finally, the paper contributes methodologically by developing both a manually created skills taxonomy and an experimental machine learning approach to classifying skills. The machine learning method, while less comprehensive, highlights in-demand skills and can complement the manual approach by keeping it up to date with minimal input. Overall, the paper demonstrates the potential of job vacancy data to improve LMISs and inform labor market policies in Argentina and Uruguay with immediate practical applications for labor market analysis, skills development, and workforce training.en
dc.identifierhttp://documents.worldbank.org/curated/en/099753203172540083
dc.identifier.doi10.1596/1813-9450-11086
dc.identifier.doihttps://doi.org/10.1596/1813-9450-11086
dc.identifier.urihttps://hdl.handle.net/10986/42966
dc.languageEnglish
dc.language.isoen_US
dc.publisherWashington, DC: World Bank
dc.relation.ispartofseriesPolicy Research Working Paper; 11086
dc.rightsCC BY 3.0 IGO
dc.rights.holderWorld Bank
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/igo/
dc.subjectARGENTINA
dc.subjectEMPLOYMENT
dc.subjectLABOR MARKET INFORMATION SYSTEMS
dc.subjectMACHINE LEARNING SKILLS
dc.subjectURUGUAY
dc.titleUnderstanding Labor Market Demand in Real Time in Argentina and Uruguayen
dc.typeWorking Paper
dspace.entity.typePublication
okr.associatedcontenthttps://reproducibility.worldbank.org/index.php/catalog/257 Link to reproducibility package
okr.date.disclosure2025-03-18
okr.date.doiregistration2025-04-14T11:56:50.089429Z
okr.date.lastmodified2025-03-18T12:04:46Zen
okr.doctypePolicy Research Working Paper
okr.doctypePublications & Research
okr.docurlhttp://documents.worldbank.org/curated/en/099753203172540083
okr.guid099753203172540083
okr.identifier.docmidIDU-8eac3ab7-d888-47cd-b8f5-d56ef7d9178c
okr.identifier.doi10.1596/1813-9450-11086
okr.identifier.externaldocumentum40001322
okr.identifier.internaldocumentum40001322
okr.identifier.reportWPS11086
okr.import.id6902
okr.importedtrueen
okr.language.supporteden
okr.pdfurlhttps://documents.worldbank.org/curated/en/099753203172540083/pdf/IDU-8eac3ab7-d888-47cd-b8f5-d56ef7d9178c.pdfen
okr.region.administrativeLatin America and Caribbean
okr.region.countryArgentina
okr.region.countryUruguay
okr.topicSocial Protections and Labor::Employment and Unemployment
okr.topicSocial Protections and Labor::Labor Markets
okr.topicSocial Protections and Labor::Skills Development and Labor Force Training
okr.unitSocial Protection & Labor LCR (HLCSP)
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