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dc.rights.licenseopenen_US
hal.structure.identifierGroupe de Recherche en Economie Théorique et Appliquée [GREThA]
dc.contributor.authorCHACUA, Christian
dc.date.accessioned2020-07-03T09:49:03Z
dc.date.available2020-07-03T09:49:03Z
dc.date.issued2018
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/8550
dc.descriptionLogiciels / R packages : Nomine (https://github.com/cchacua/nomine)en_US
dc.description.abstractEnLarge social science literatures are devoted to examining the role of an individual's gender, ethnicity, or nationality on a host of behaviors and circumstances. This means that researchers often want to know these characteristics of individuals. Not all pre-existing datasets contain this information, though, and it can be difficult for scholars to locate, particularly if they work with exotic samples. (...)
dc.language.isoENen_US
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.title.enNomine: Functions to classify names based on gender, 6 U.S. ethnicities, or 39 leaf nationalities.
dc.typeAutre documenten_US
dc.identifier.doi10.5281/zenodo.1134027en_US
dc.subject.halÉconomie et finance quantitative [q-fin]en_US
bordeaux.hal.laboratoriesGroupe de Recherche en Economie Théorique et Appliquée (GREThA) - UMR 5113en_US
bordeaux.institutionUniversité de Bordeauxen_US
hal.identifierhal-03143882
hal.version1
hal.date.transferred2021-02-17T09:08:26Z
hal.exporttrue
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2018&rft.au=CHACUA,%20Christian&rft.genre=unknown


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