Probabilistic voting model: Difference between revisions

Revision as of 00:22, 21 February 2009

Revision as of 00:22, 21 February 2009

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The Probabilistic voting theory, also known as the probabilistic voting model, is a voting theory developed by professor [[Peter J. Coughlin]], 1992, which is gradually replacing the [[Median voter theory]], thanks to its ability of finding the existence of an equilibrium in a multi-dimensional space. This theory represents a real break-through in the [[political economy]] literature and allowed to solve problems impossible to solve before.

==Applications==

The [[political economy]] and the [[Public Economics]] are the main fields where the Probabilistic voting theory is applied. In particular, it was used to explain public expenditure programmes (Persson & Tabellini, 2000), social security systems (Profeta, 2002) and taxation (Hettich and& Winer, 1998 and Canegrati, 2007).

==References==

* {{cite book | author=Coughlin, Peter J.| title=Probabilistic Voting Theory | publisher=Cambridge University Press| year=1992 | ISBN=0521360528}}