caa a22 4500 388079908 CHVBK 20180307125210.0 cr unu---uuuuu 161130e199903 xx s 000 0 eng 10.2307/2585758 doi S0003055400216596 pii (NATIONALLICENCE)cambridge-10.2307/2585758 A Statistical Model for Multiparty Electoral Data [Elektronische Daten] We propose a comprehensive statistical model for analyzing multiparty, district-level elections. This model, which provides a tool for comparative politics research analogous to that which regression analysis 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. We also provide new graphical representations for data exploration, model evaluation, and substantive interpretation. We 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, we demonstrate that the advantage is small but meaningful, varies substantially across the parties, and is not growing. Finally, we show how to estimate the party from which each party's advantage is predominantly drawn. Copyright © American Political Science Association 1999 Katz Jonathan N. University of Chicago King Gary Harvard University American Political Science Review Cambridge University Press 93/1(1999-03), 15-32 0003-0554 93:1<15 1999 93 PSR https://doi.org/10.2307/2585758 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.2307/2585758 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Katz Jonathan N. University of Chicago NATIONALLICENCE 700 1- King Gary Harvard University NATIONALLICENCE 773 0- American Political Science Review Cambridge University Press 93/1(1999-03), 15-32 0003-0554 93:1<15 1999 93 PSR CC0 http://creativecommons.org/publicdomain/zero/1.0 nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-cambridge