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dc.contributor.authorHermansen, Gudmund Horn
dc.contributor.authorKnutsen, Carl Henrik
dc.contributor.authorNygård, Håvard Mokleiv
dc.date.accessioned2022-06-13T12:01:41Z
dc.date.available2022-06-13T12:01:41Z
dc.date.created2021-01-30T19:34:52Z
dc.date.issued2020
dc.identifier.citationPolitical Analysis, 2021, 29(4), 485-504en_US
dc.identifier.issn1047-1987
dc.identifier.urihttps://hdl.handle.net/11250/2998524
dc.description.abstractVarious theories in political science point to temporal heterogeneity in relationships of interest. Yet, empirical research typically ignores such heterogeneity or employs fairly crude measures to evaluate it. Advances in models for change point detection offer opportunities to study temporal heterogeneity more carefully. We customize a recent such method for political science purposes, for instance so that it accommodates panel data, and provide an accompanying R-package. We evaluate the methodology, and how it behaves when different assumptions about the number and abrupt nature of change points are violated, by using simulated data. Importantly, the methodology allows us to evaluate changes to different quantities of interest (for various estimators). It also allows us to provide comprehensive estimates concerning uncertainty in the timing and size of changes. We illustrate the utility of this flexible change point methodology on two types of regression models (Probit and OLS) in two empirical applications. We first re-investigate the proposition by Albertus (2017) that labor-dependent agriculture had a more pronounced negative effect on democratic survival before the “third wave of democratization.” Next, we utilize data extending from the French revolution to the present, from V-Dem, to examine the time-variant nature of the income–democracy relationship.en_US
dc.language.isoengen_US
dc.publisherCambridge University Pressen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.subjectChange point modelen_US
dc.subjectTemporal heterogeneityen_US
dc.subjectPanel dataen_US
dc.subjectDemocracyen_US
dc.subjectDemocratizationen_US
dc.titleCharacterizing and Assessing Temporal Heterogeneity: Introducing a Change Point Framework, with Applications on the Study of Democratizationen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holderThe Authorsen_US
dc.source.pagenumber485-504en_US
dc.source.volume29en_US
dc.source.journalPolitical Analysisen_US
dc.source.issue4en_US
dc.identifier.doi10.1017/pan.2020.39
dc.identifier.cristin1883422
dc.relation.projectNorges forskningsråd: 275400en_US
dc.relation.projectNorges forskningsråd: 240505en_US
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode2


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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