RT Journal Article
T1 Integrating Large-Scale Online Surveys and Aggregate Data at the Constituency Level: The Estimation of Voter Transitions in the 2015 British General Elections.
A1 Thurner, Paul W.
A1 Mauerer, Ingrid Doris
A1 Bort, Maxim
A1 Klima, André
A1 Küchenhoff, Helmut
K1 Elecciones - Gran Bretaña - Modelos matemáticos
K1 Sociología electoral
AB 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.
PB European Survey Research Association
YR 2020
FD 2020-09-25
LK https://hdl.handle.net/10630/38644
UL https://hdl.handle.net/10630/38644
LA eng
NO Thurner, P. W., Mauerer, I., Bort, M., Klima, A., & Küchenhoff, H. (2020). Integrating Large-Scale Online Surveys and Aggregate Data at the Constituency Level: The Estimation of Voter Transitions in the 2015 British General Elections. Survey Research Methods, 14(5), 461–476. https://doi.org/10.18148/srm/2020.v14i5.7628
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026