traditional_indexes: Traditional indexes for measuring deviations from...

In ElectDecomp: Decomposition of Seats-to-Votes Distortions

Traditional indexes for measuring deviations from proportionality

Description

Computes a list of indexes proposed in the literature to measure the seat-to-vote deviations from proportionality. (See the malapportionment_index function for the Samuels and Snyder’s index).

Usage

traditional_indexes(votes, seats)

Arguments

votes	A vector of length p (where p the number of parties) with the votes gained by each party in the election. When blank or null votes are included in votes, they are treated in the same way as the other parties.
seats	A vector of length p (where p the number of parties) with components in the same order as votes, with the seats gained by each party/candidacy in the election.

Value

A data.frame of order 10x3 with the Rae, Loosemore-Handy, Gallagher, Monroe, Sainte-Lague, Entropy, Taagepera-Laasko-v, Taagepera-Laasko-s, Taagapera-Shugart, Pessini-Gini and Pavia-Gini indexes.

Note

The Entropy index (EI) only considers parties gaining seats.

Author(s)

Alberto Penades, [e-mail]

Jose M. Pavia, [e-mail]

References

Riera, P and Penades, A Indices of Disproportionality. Elgar Encyclopedia of Political Representation (Eds. A Freire, A Pedrazzani & H Schmit). Cheltenham: Edgar Elgar Publishing.

Taagepera, R and Shugart, MS (1991) Seats and Votes: The Effects and Determinants of Electoral Systems. New Haven: Yale University Press.

Examples

votes.ex <- c(Party1 = 6310391, Party2 = 5371866, Party3 = 1709890,
              Party4 = 1504771, Party5 = 323444)

seats.ex <- c(Party1 = 165, Party2 = 118, Party3 = 20,
              Party4 = 16, Party5 = 0)

example <- traditional_indexes(votes.ex, seats.ex)
example

ElectDecomp documentation built on April 3, 2025, 6:09 p.m.