psns {esaps}

Party System Nationalization Score

Description

Party System Nationalization Score Mainwaring and Jones (2003) and Chhibber and Kollman (2004)

Usage

psns(tidy_data, method, pns = FALSE, scale = 100)

Arguments

tidy_data

data.frame that contains the following variables with these names:

• election: year of election.

• unit: the unit of analysis (province, department ...)

• party: name of the political parties that obtain votes.

• votes: votes obtained by each party.

• votes_nac: votes at national level for each party.

If the data is not structured in this way you can order it with: convert_esaps.

method

Method to calculate Party System Nationalization Score:

• method = "Mainwaring and Jones" or method = 1.

• method = "Chhibber and Kollman" or method = 2.

pns

by default it is FALSE. If TRUE, the Party Nationalization Score is calculated. In method, you must indicate: method = 1.

scale

By default it is 100, the indices will vary between 0 and 100. If scale = 1 the variation will be between 0 and 1.

Value

if pns = FALSE, return data.frame.

if pns = TRUE, return a list with two data.frame.

• list[[1]] PSNS: Party System Nationalization Score

• list[[2]] PNS: Party Nationalization Score

Author(s)

Nicolas Schmidt [e-mail]

Examples

votes <- data.frame(election = rep(2000,4),
                    unit  = rep(c("District_1", "District_2"), each = 2),
                    party = rep(c("party_A", "party_B"), 2),
                    votes = c(0.60,0.40, 0.30, 0.70),
                    votes_nac = rep(c(0.55,0.45),2)
                   )
psns(tidy_data = votes, method = 1)
psns(tidy_data = votes, method = 1, pns = TRUE)