Learning from Polls During Electoral Campaigns

نویسندگان

چکیده

Abstract Voters’ beliefs about the strength of political parties are a central part many foundational science theories. In this article, we present dynamic Bayesian learning model that allows us to study how voters form these by from pre-election polls over course an election campaign. model, belief adaptation new can vary due perceived precision poll or reliance on prior beliefs. We evaluate implications our using two experiments. find respondents update their assuming relatively imprecise but still weigh them more strongly than priors. Studying for motivational partisans, varying works through priors and not necessarily discrediting poll’s precision. The findings inform understanding consequences during campaigns in general.

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ژورنال

عنوان ژورنال: Political Behavior

سال: 2022

ISSN: ['1573-6687', '0190-9320']

DOI: https://doi.org/10.1007/s11109-022-09837-8