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The spatial model with non-policy factors: a theory of policy-motivated candidates

机译:具有非政策因素的空间模型:政策激励候选人的理论

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摘要

The theoretical literature on two candidate elections is dominated by symmetric contests and vote-maximizing candidates. These models fail to capture two important features of real elections. First, most elections pit a stronger candidate against a weaker one. Second, candidates care not only about holding office, but also about policy outcomes. Ignoring any one of these features means we will fail to capture an important dynamic—strong candidates must balance their desire to change policy with their need to win the election. We provide conditions for the existence of an equilibrium in the spatial model with non-policy factors, when candidates are policy motivated. We provide a characterization of ‘regular’ equilibria and show that there exists at most one regular equilibrium. We provide conditions that guarantee that all equilibria are regular. We derive comparative statics for the model and show that increasing a candidate’s non-policy advantage causes that candidate to move towards his ideal point.
机译:关于两次候选人选举的理论文献主要是对称竞赛和投票最大化的候选人。这些模型无法捕捉到真实选举的两个重要特征。首先,大多数选举将更强大的候选人与较弱的候选人抗衡。其次,候选人不仅关心担任职务,而且也关心政策成果。忽略这些功能中的任何一个,意味着我们将无法捕捉到重要的动态信息-强大的候选人必须在改变政策的愿望与赢得选举的需求之间取得平衡。当候选人出于政策动机时,我们提供了具有非政策因素的空间模型中均衡存在的条件。我们提供了“常规”均衡的特征,并表明最多存在一个常规均衡。我们提供条件来保证所有平衡都是规律的。我们得出了该模型的比较静态数据,并表明增加候选人的非政策优势会导致该候选人朝自己的理想点迈进。

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  • 来源
    《Social Choice and Welfare》 |2010年第2期|265-294|共30页
  • 作者

    Michael Peress;

  • 作者单位

    Department of Political Science, University of Rochester, Rochester, USA;

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  • 正文语种 eng
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