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Title: Statistical Model for Multiparty Electoral Data      
dateReleased:
04-08-2015
downloadURL: http://dx.doi.org/10.3886/ICPSR01190.v1
ID:
doi:10.3886/ICPSR01190.v1
description:
In this collection, a comprehensive statistical model for analyzing multiparty, district-level elections is proposed. This model, which provides a tool for comparative politics research analogous to what regression provides in the American two-party context, can be used to explain or predict how geographic distributions of electoral results depend upon economic conditions, neighbor hood ethnic compositions, campaign spending, and other features of the election campaign or aggregate areas. Also provided are new graphical representations for data exploration, model evaluation, and substantive interpretation. The authors illustrate the use of this model by attempting to resolve a controversy over the size of and trend in the electoral advantage of incumbency in Britain. Contrary to previous analyses, all based on measures now known to be biased, the research demonstrates that the advantage is small but meaningful, varies substantially across parties, and is not growing. Finally, the authors show how to estimate from which party each other party's advantage is predominantly drawn.
description:
Katz, Jonathan; King, Gary, 2015, "Statistical Model for Multiparty Electoral Data", http://dx.doi.org/10.3886/ICPSR01190.v1
name:
Katz, Jonathan
King, Gary
homePage: http://www.harvard.edu/
name:
Harvard University
ID:
SCR:011273
abbreviation:
DataVerse
homePage: http://thedata.org/
name:
Dataverse Network Project
ID:
SCR:001997