lsq: Least Squares Index

In politicsR: Calculating Political System Metrics

Least Squares Index

Description

'lsq()' calculates the electoral disproportionality between votes and seats by Least squares index method as proposed by Michael Gallagher.

Usage

lsq(x, y)

Arguments

x	(numeric). Numeric vector with the vote share of parties
y	(numeric). Numeric vector with the seat share of parties

Value

If the input is a proportion the result is between 0 and 1. But if the input is a percentage it is between 0 and 100. In both cases the higher the value, the more disproportional the electoral system is.

References

Gallagher, M. (1991). Proportionality, disproportionality and electoral systems. Electoral studies, 10(1), 33-51.

Examples

votes <- c(0.2, 0.2, 0.6)
seats <- c(0.18, 0.17, 0.65)
lsq(votes, seats)

politicsR documentation built on March 31, 2023, 10:10 p.m.