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<p>We examine how the optimal degree of policy divergence between two policy platforms in an election is affected by two types of aggregate uncertainty: policy-related and candidate-specific. We show that when the candidate-specific uncertainty is sufficiently large, policy convergence becomes optimal. We also show that when these two types of uncertainty co-exist, only purely office-motivated parties result in policy convergence, in other words, any level of policy motivation of parties results in some policy divergence, making policy motivation undesirable when candidate-specific uncertainty is sufficiently large.</p>

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How does political uncertainty affect the optimal degree of policy divergence?

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年4月15日

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  • R. Emre Aytimur,
  • Aris Boukouras,
  • Richard M. H. Suen

摘要

We examine how the optimal degree of policy divergence between two policy platforms in an election is affected by two types of aggregate uncertainty: policy-related and candidate-specific. We show that when the candidate-specific uncertainty is sufficiently large, policy convergence becomes optimal. We also show that when these two types of uncertainty co-exist, only purely office-motivated parties result in policy convergence, in other words, any level of policy motivation of parties results in some policy divergence, making policy motivation undesirable when candidate-specific uncertainty is sufficiently large.