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Policy-motivated parties in dynamic political competition

  • University of California at San Diego

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

Abstract

We analyze a model of a dynamic political competition between two policy-motivated parties under uncertainty. The model suggests that electoral mandates matter: increasing the margin of victory in the previous election causes both parties to shift towards policies preferred by the winner, and the loser typically shifts more than the winner. The model also provides potential answers to a number of empirical puzzles in the field of electoral politics. In particular, we provide possible explanations for why close elections may lead to extreme platforms by both parties, why increased extremism in the platform of one party may lead to greater moderation in the platform of the other party, and why increasing polarization of the electorate causes winning candidates to become more sensitive to mandates. We also show that, contrary to previous findings, increasing uncertainty sometimes decreases platform divergence. Finally, we pay special attention to the proper methodology for doing numerical comparative statics analysis in computational models.

Original languageEnglish
Pages (from-to)9-31
Number of pages23
JournalJournal of Theoretical Politics
Volume19
Issue number1
DOIs
StatePublished - Jan 2007

Keywords

  • Bayesian updating
  • Computational models
  • Dynamic models
  • Electoral politics
  • Party competition

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