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  • 标题:The Estimation of Voter Transitions in the 2015 British General Election: Combining Online Panels and Aggregate Data at the Constituency Level
  • 本地全文:下载
  • 作者:Paul W. Thurner ; Ingrid Mauerer ; Maxim Bort
  • 期刊名称:Survey Research Methods
  • 印刷版ISSN:1864-3361
  • 出版年度:2020
  • 卷号:14
  • 期号:5
  • 页码:461-476
  • DOI:10.18148/srm/2020.v14i5.7628
  • 出版社:European Survey Research Association
  • 摘要:What have been the underlying voter shifts that led to the victory of the Con-servative Party in the 2015 British general election – against all predictions bypollsters? Analyses of voter transitions based on (online) surveys and recall ques-tions are plagued by sampling and response biases, whereas aggregate data analysesare suspect of the well-known ecological fallacy. We propose a systematic statisticalcombination of individual and aggregate data at the constituency level to identifyregional electoral shifts between the 2010 to 2015 British general elections, with aparticular focus on England. Large-scale individual data collected by the BritishElection Study Internet Panel (BESIP) allow us to locate more than 28,000 respon-dents in their constituencies. We estimate transitions based on a recently developedBayesian Hierarchical Hybrid Multinomial Dirichlet (HHMD) model. We discovera clear deviance from pure RxC ecological inference and from pure online panel-based estimations of transition matrices. Convergence diagnostics corroborate thesuperiority of the hybrid models.
  • 关键词:voter transitions;ecological inference;British election study internet panel;hybrid models
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