000			01707naa a2200169uu 4500
001			6041214105421
003			OSt
005			20190211161010.0
008			060412s2006 xx ||||gr |0|| 0 eng d
100	1		_aLAVER, Michael _924442
245	1	0	_aPolicy and the Dynamics of Political Competition
260			_aNew York, NY : _bAmerican Political Science Association, _cMay 2005
520	3		_aThis paper proposes a model that takes the dynamic agent-based analysis of policy-driven party competition into a multiparty environment. In this, voters continually review party support and switch parties to increase their expectations; parties continually readapt policy positions to the shifting affiliations of voters. Different algorithms for party adaptation are explored, including “Aggregator” (adapt party policy to the ideal policy positions of party supporters), Hunter (repeat policy moves that were rewarded; otherwise make random moves), Predator (move party policy toward the policy position of the largest party), and “Sticker” (never change party policy). Strong trends in the behavior of parties using different methods of adaptation are explored. The model is then applied in a series of experiments to the dynamics of a real party system, described in a published opinion poll time series. This paper reports first steps toward endogenizing key features of the process, including the birth and death of parties, internal party decision rules, and voter ideal points.
773	0	8	_tAmerican Political Science Review _g99, 2, p. 263-281 _dNew York, NY : American Political Science Association, May 2005 _xISSN 0003-0554 _w
942			_cS
998			_a20060412 _b1410^b _cNatália
999			_aConvertido do Formato PHL _bPHL2MARC21 1.1 _c15538 _d15538
041			_aeng