Why can voters anticipate post-election coalition formation likelihoods?. Armstrong, D. A. & Duch, R. M. Electoral Studies, 29(3):308--315, 2010. 603
doi  abstract   bibtex   
A number of scholars have argued that, in contexts with multi-party governing coalitions, voters can use historical patterns to anticipate the ideological composition of likely postelection coalitions and make vote choices accordingly. In this paper we analyze historical coalition formation data from the period 1960e2007 in order to determine whether the historical regularities in the party composition of coalition governments are such that voters can use this information to assess the likelihood that different coalitions would form after an election. Specifically, we examine: (1) the likelihood of party pairs joining a coalition; (2) the likelihood of different coalition permutations; and (3) the likelihood of a party occupying the Prime Ministership.
@article{ armstrong_why_2010,
  title = {Why can voters anticipate post-election coalition formation likelihoods?},
  volume = {29},
  issn = {02613794},
  doi = {10.1016/j.electstud.2010.03.007},
  abstract = {A number of scholars have argued that, in contexts with multi-party governing coalitions, voters can use historical patterns to anticipate the ideological composition of likely postelection coalitions and make vote choices accordingly. In this paper we analyze historical coalition formation data from the period 1960e2007 in order to determine whether the historical regularities in the party composition of coalition governments are such that voters can use this information to assess the likelihood that different coalitions would form after an election. Specifically, we examine: (1) the likelihood of party pairs joining a coalition; (2) the likelihood of different coalition permutations; and (3) the likelihood of a party occupying the Prime Ministership.},
  number = {3},
  journal = {Electoral Studies},
  author = {Armstrong, David A. and Duch, Raymond M.},
  year = {2010},
  note = {603},
  keywords = {Albania, Australia, Austria, Belgium, Bulgaria, Canada, Croatia, Denmark, Estonia, Finland, France, Germany, Great Britain, Greece, Hungary, Iceland, Ireland, Italy, Japan, Latvia, Lithuania, Luxembourg, New Zealand, Norway, Poland, Portugal, Romania, Slovakia, Slovenia, Spain, Sweden, the Netherlands},
  pages = {308--315}
}

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