| pns {electoral} | R Documentation |
Party Nationalization Score (PNS)
Description
Party nationalization score is a measure for the uniformity of vote share of a party over subnational units (provinces for Ecuador). It is computed as 1 minus Gini inequality index (Jones and Mainwaring, 2003)
PNS = 1 - G
G = (2*sum(i*xi)) / (n*sum(xi)) - (n + 1)/n
in which G is the Gini inequality index, xi is the vote share in the province ith, indexed in non-decreasing order (xi <= xi+1) i is an index from 1 to n n is the total of provinces
Party nationalization score is a number from 0 to 1, a low value (near 0) means a low level of nationalization, i.e. heterogeneous distribution of vote shares in subnational territorial units.
High score (near 1) indicates a high level of nationalization, i.e. homogeneous distribution of vote shares in subnational territorial units.
A new approach developed by Golosov (2014) 'Party System Nationalization: The Problems of Measurement with an Application to Federal States' (http://ppq.sagepub.com/content/early/2014/09/08/1354068814549342.abstract) is also available.
See psns function for further information.
Developed by Jorge Albuja Delgado (albuja@yahoo.com).
Usage
pns(subnational_shares, method)
Arguments
subnational_shares |
vector of vote shares per subnational unit (province) for a single party |
method |
string to choose from c('Jones-Mainwaring', 'Golosov'). Defaults to 'Jones-Mainwaring' |
Value
A single numeric with party nationalization score of a party, in the interval [0, 1]
Examples
pns(subnational_shares = c(0.467265, 0.542505))
pns(subnational_shares = c(0.467265, 0.542505), method = 'Golosov')