Abstract
The analysis of voter transitions is an important area of electoral studies. A main strategy is to use aggregate data provided by the offices of statistics regarding districts, precincts, communities etc. and to rely on ecological inference. Ecological inference, however, is plagued by the well-known indeterminacy problem. In this article, we present the so far most extensive systematic empirical comparison of commonly used approaches for ecological inference of the analysis of voter transitions. Our evaluation is based on diverse simulations for multiple assumptions and scenarios. Based on recent election data for the German metropolitan city Munich, we are able to show that an application of the hierarchical multinomial-Dirichlet model, which is implemented in the R-library eiPack, exhibits the best overall estimation performance. Other prominent approaches frequently used by practitioners, e.g. the Thomsen logit approach, proved to be inconsistent. Furthermore, we demonstrate that appropriate data preprocessing is crucial for achieving reliable results.
Dokumententyp: | Zeitschriftenartikel |
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Keywords: | Ecological inference; Voter transitions; Hierarchical Bayesian models |
Fakultät: | Sozialwissenschaften > Geschwister-Scholl-Institut für Politikwissenschaft
Mathematik, Informatik und Statistik > Statistik Mathematik, Informatik und Statistik > Statistik > Lehrstühle/Arbeitsgruppen > Statistisches Beratungslabor |
Themengebiete: | 300 Sozialwissenschaften > 310 Statistiken
300 Sozialwissenschaften > 320 Politik 500 Naturwissenschaften und Mathematik > 510 Mathematik |
ISSN: | 1863-8171; 1863-818X |
Sprache: | Englisch |
Dokumenten ID: | 31616 |
Datum der Veröffentlichung auf Open Access LMU: | 19. Dez. 2016, 14:05 |
Letzte Änderungen: | 04. Nov. 2020, 13:08 |