Inequality, Uncertainty, and Redistribution

Fabiana Machado
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引用次数: 1

Abstract

For centuries it has been believed that the extension of the franchise in unequal societies would lead to relatively high levels of redistribution. According to international rankings, how- ever, among the fourteen most unequal countries in the world, nine have been democratic for at least the past fourteen years. A prerequisite for the adoption of redistributive policies is that there be elected representatives who are either committed to or who have an incentive to advocate for such policies. The prospects of such an outcome depend not only on candidates personal policy preferences and motivations, but also how they are perceived by voters. One important feature shared by highly unequal democracies is that they tend to be relatively young, with many new parties and candidates in the political scene. This means elections occur under a high degree of uncertainty about critical information voters need to chose their delegates. Thus, in this paper I develop a model of elections as a game of incomplete information to explore how uncertainty, candidates’ motivation (policy vs. office), and beliefs about their ideological inclinations affect what policy interests are likely to be represented in the political process. I explore the model’s assumptions and outcomes empirically using individual level data for each presidential election in Brazil since democratization.
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不平等、不确定性和再分配
几个世纪以来,人们一直认为,在不平等的社会中,选举权的扩大将导致相对较高的再分配水平。然而,根据国际排名,在世界上最不平等的14个国家中,有9个至少在过去14年里实行了民主。采用再分配政策的一个先决条件是,选出的代表要么致力于这种政策,要么有动力倡导这种政策。这种结果的前景不仅取决于候选人个人的政策偏好和动机,还取决于选民对他们的看法。高度不平等的民主国家共有的一个重要特征是,它们往往相对年轻,政治舞台上有许多新的政党和候选人。这意味着选举是在选民选择代表所需的关键信息高度不确定的情况下进行的。因此,在本文中,我建立了一个将选举作为不完全信息博弈的模型,以探索不确定性、候选人的动机(政策与职位)以及对其意识形态倾向的信念如何影响政治过程中可能代表的政策利益。我利用巴西民主化以来每次总统选举的个人层面数据,对模型的假设和结果进行了实证研究。
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