00000nam 2200000 4500 INLIS000000000009649 26504/MKRI-P/XII-2018 20221024102422 0010-0520009649 221024################|##########|#eng## 978-1-108-41702-0 eng 324.6 324.6 SHU v Shugart, Matthew S. Taagepera, Rein Votes From Seats : Logical Models of Electoral Systems / Matthew S. Shugart & Rein Taagepera Cet. 1 Cambridge : Cambridge University Press, 2017 xiii, 325p ; 23cm ; 23cm Take 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. Elections--Mathematical models. Election districts--Mathematical models. Legislative bodies--Mathematical models. 26504/MKRI-P/XII-2018