Integrating Large-Scale Online Surveys and Aggregate Data at the Constituency Level: The Estimation of Voter Transitions in the 2015 British General Elections

被引:1
作者
Thurner, Paul W. [1 ]
Mauerer, Ingrid [1 ]
Bort, Maxim [2 ]
Klima, Andre [2 ]
Kuechenhoff, Helmut [2 ]
机构
[1] Ludwig Maximilians Univ Munchen, Dept Polit Sci, Munich, Germany
[2] Ludwig Maximilians Univ Munchen, Stat Consulting Unit StaBLab, Dept Stat, Munich, Germany
关键词
Voter Transitions; Individual Survey Data; Aggregate Data; Hybrid Models; British General Elections; ECOLOGICAL INFERENCE; PATTERNS; BEHAVIOR; RETURN;
D O I
10.18148/srm/2020.v14i5.7628
中图分类号
O1 [数学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 0701 ; 070101 ;
摘要
What have been the underlying voter shifts that led to the victory of the Conservative Party in the 2015 British general election - against all predictions by pollsters? Analyses of voter transitions based on (online) surveys and recall questions are plagued by sampling and response biases, whereas aggregate data analyses are suspect of the well-known ecological fallacy. We propose a systematic statistical combination of individual-level survey and administrative data at the constituency level to identify regional electoral shifts between the 2010 to 2015 British general elections. The large-scale individual-level data collected by the British Election Study Internet Panel (BESIP) allow us to locate more than 28,000 respondents in their constituencies. We estimate voter transitions based on a recently developed Bayesian Hierarchical Hybrid Multinomial Dirichlet (HHMD) model. We discover substantial deviances from pure survey-based estimations of transition matrices.
引用
收藏
页码:461 / 476
页数:16
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