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dc.contributor.authorArnesen, Sveinungeng
dc.date.accessioned2013-12-03T13:39:13Z
dc.date.available2013-12-03T13:39:13Z
dc.date.issued2013eng
dc.identifier.issn0169-2070
dc.identifier.urihttps://hdl.handle.net/1956/7570
dc.descriptionPublished as: Forecasting Norwegian elections: Out of work and out of office.eng
dc.description.abstractAcross established democracies, the relationship between the economy and party choice is robust. In efforts to test the relationship further, forecasting models based on economic and political variables have been constructed for many democracies, most notably for France, the United Kingdom, and the United States. This work has produced an effective body of theory and empirical research on predicting election outcomes in advance. However, for certain other democracies, such as Norway, little or no election forecasting has been undertaken. This paper draws on established relationships from the economic voting literature and tests for their presence in Norwegian politics. We find that the vote share of the left bloc is sensitive to unemployment and whether or not they are in government. In line with the clientele hypothesis, the vote for the left has a positive relationship with unemployment figures. In addition, we find that being in office leads to a general depreciation of their vote share. The vote forecasting models constructed using these predictors are compared with and outperform an AR(1) benchmark model for sequentially updated ex post predictions of Norwegian elections over the last twenty years.en_US
dc.language.isoengeng
dc.publisherElseviereng
dc.relation.ispartof<a href="http://hdl.handle.net/1956/7568" target="blank">Leaping into the unknown: Comparing, testing, and applying methods of predicting elections</a>eng
dc.subjectNorwayeng
dc.subjectElectioneng
dc.subjectTime serieseng
dc.subjectElection forecasteng
dc.subjectEconomic votingeng
dc.titleOut of work and out of office: The golden mix for left bloc support in Norwayeng
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersion
dc.rights.holderCopyright 2012 International Institute of Forecasters. Published by Elsevier B.V. All rights reserved.en_US
dc.identifier.doihttps://doi.org/10.1016/j.ijforecast.2012.04.009
dc.identifier.cristin964580
dc.source.journalInternational Journal of Forecasting
dc.source.4028
dc.source.144
dc.source.pagenumber789-796


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