A Decision Heuristic for Party Identification: New British and German Data and a New Understanding for a Classic Concept
Author(s) -
Alan S. Zuckerman,
Malcolm Brynin
Publication year - 2002
Publication title -
ssrn electronic journal
Language(s) - English
Resource type - Journals
ISSN - 1556-5068
DOI - 10.2139/ssrn.302330
Subject(s) - german , identification (biology) , heuristic , computer science , operations research , data science , artificial intelligence , political science , data mining , management science , history , economics , mathematics , archaeology , botany , biology
The concept party identification lies at the heart of much research on political preferences and behavior in established democracies. Drawing on data obtained from the British Household Panel Survey (1991-99) and the German Socio-Economic Panel Survey (1984-1998), we offer a fresh approach to the concept. Party identification is a stance that people take towards the political parties. They apply a consistent rule -a decision heuristic -persistently returning to the same preference year after year or behaving haphazardly, moving with no clear pattern among the choices. Most take a definitively negative stance towards one of the parties and a positive stance towards the other major party. Of these, about half display behavior that reflects a psychological commitment and about half are as likely as not to pick that party when asked. For most people, party identification is neither a loyalty, as conceived by traditional understanding associated with the Michigan -nor a calculated choice -as offered by rational choice theory -but a way to situate oneself persistently in relation to the relatively distant objects of politics.
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