nmm 22 4500 ICPSR01190 MiAaI m f a u cr mn mmmmuuuu 130620s1998 miu f a eng d (MiAaI)ICPSR01190 MiAaI MiAaI Statistical Model for Multiparty Electoral Data [electronic resource] Jonathan Katz , Gary King 1998-12-17 Ann Arbor, Mich. Inter-university Consortium for Political and Social Research [distributor] 1998 ICPSR 1190 Numeric Title from ICPSR DDI metadata of 2013-06-20. AVAILABLE. This study is freely available to the general public. Also available as downloadable files. 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, neighborhood 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. Cf.: http://dx.doi.org/10.3886/ICPSR01190.v1 campaign expenditures icpsr economic conditions icpsr election districts icpsr election returns icpsr elections icpsr ethnicity icpsr prediction icpsr statistical models icpsr NACDA I. Demographic Characteristics of Older Adults ICPSR XVIII. ICPSR Publication-Related Archive Katz, Jonathan University of Chicago King, Gary Harvard University Inter-university Consortium for Political and Social Research. ICPSR (Series) Access restricted ; authentication may be required: http://dx.doi.org/10.3886/ICPSR01190.v1