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dc.contributor.authorAlvarez, RM
dc.contributor.authorKatz Wisel, G
dc.contributor.authorLevin, I
dc.contributor.authorNunez, L
dc.date.accessioned2020-04-03T07:43:27Z
dc.date.issued2020-09-28
dc.description.abstractBuilding on past research, we implement a hierarchical latent class model to analyze political participation from a comparative perspective. Our methodology allows simultaneously: (i) estimating citizens’ propensity to engage in conventional and unconventional modes of participation; (ii) classifying individuals into underlying “types” capturing within- and cross-country variations in participation; and (iii) assessing how this classification varies with micro- and macro-level factors. We apply our model to Latin American survey data. We show that our method outperforms alternative approaches used to study participation and derive typologies of political engagement. Substantively, we find that the distribution of participatory types is similar throughout the continent, and that it correlates strongly with respondents’ socio-demographic characteristics and crime victimization.en_GB
dc.identifier.citationPublished online 28 September 2020
dc.identifier.doi10.1017/psrm.2020.35
dc.identifier.urihttp://hdl.handle.net/10871/120528
dc.language.isoenen_GB
dc.publisherCambridge University Press (CUP) / European Political Science Associationen_GB
dc.rights© The Author(s), 2020. Published by Cambridge University Press on behalf of the European Political Science Association
dc.titleConventional and unconventional participation in Latin America: a hierarchical latent class approachen_GB
dc.typeArticleen_GB
dc.date.available2020-04-03T07:43:27Z
dc.identifier.issn2049-8470
dc.descriptionThis is the author accepted manuscript. The final version is available from Cambridge University Press via the DOI in this recorden_GB
dc.identifier.journalPolitical Science Research and Methodsen_GB
dc.rights.urihttp://www.rioxx.net/licenses/all-rights-reserveden_GB
dcterms.dateAccepted2020-04-01
rioxxterms.versionAMen_GB
rioxxterms.licenseref.startdate2020-04-01
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2020-04-03T07:41:54Z
refterms.versionFCDAM
refterms.dateFOA2020-11-03T14:35:56Z
refterms.panelCen_GB


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