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dc.contributor.authorSCHMID, Samuel D.
dc.contributor.authorHELBLING, Marc
dc.date.accessioned2017-01-13T15:07:05Z
dc.date.available2017-01-13T15:07:05Z
dc.date.issued2016
dc.identifier.urihttps://hdl.handle.net/1814/44764
dc.description.abstractThe aim of this paper is to discuss the external and internal validity of the newly created Immigration Policies in Comparison (IMPIC) dataset. After presenting its theoretical conceptualization, we compare the IMPIC to other datasets in this policy field. Next, using a variant of principal component analysis, we empirically analyze its sub-dimensions. Among other things, and contrary to some expectations in the extant literature, we find that there appears to be a comprehensive and consistent dimension comprising immigration policies for the fields of labor migration, family reunification, and asylum seekers. We also offer two typologies, which can be used to map the most important dimensions of variation. These validity tests allow us to better understand what the IMPIC dataset measures, what its main dimensions are, and how it can be compared to other indices that measure immigration policies.en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.relation.ispartofseriesWZB Discussion Paperen
dc.relation.ispartofseries2016/202en
dc.relation.urihttps://bibliothek.wzb.eu/pdf/2016/vi16-202.pdfen
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.subjectImmigration policyen
dc.subjectOpen bordersen
dc.subjectInternal validityen
dc.subjectExternal validityen
dc.subjectPrincipal component analysisen
dc.titleValidating the immigration policies in comparison (IMPIC) dataseten
dc.typeWorking Paperen


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