01768     2200265   4500001002100000005001500021035002000036008004100056020002200097041000800119082001000127084001600137100002400153700002000177245009800197250001100295260005100306300003000357520093700387650003601324650004501360650004501405990002601450990002601476INLIS00000000000964920221024102422  a0010-0520009649221024                |          | eng    a978-1-108-41702-0  aeng  a324.6  a324.6 SHU v0 aShugart, Matthew S.0 aTaagepera, Rein1 aVotes From Seats : Logical Models of Electoral Systems /cMatthew S. Shugart & Rein Taagepera  aCet. 1  aCambridge :bCambridge University Press,c2017  axiii, 325p ; 23cm ;c23cm  aTake the number of seats in a representative assembly and the number of seats in districts through which this assembly is elected. From just these two numbers, the authors of Votes from Seats show that it is possible to deduce the number of parties in the assembly and in the electorate, as well as the size of the largest party. Inside parties, the vote distributions of individual candidates likewise follow predictable patterns. Four laws of party seats and votes are constructed by logic and tested, using scientific approaches rare in social sciences. Both complex and simple electoral systems are covered, and the book offers a set of best practices for electoral system design. The ability to predict so much from so little, and to apply to countries worldwide, is an advance in the systematic analysis of a core institutional feature found in any democracy, and points the way towards making social sciences more predictive. 4aElections--Mathematical models. 4aElection districts--Mathematical models. 4aLegislative bodies--Mathematical models.  a26504/MKRI-P/XII-2018  a26504/MKRI-P/XII-2018