psns: Party System Nationalization Score
In esaps: Indicators of Electoral Systems and Party Systems

Description Usage Arguments Value Author(s) Examples

View source: R/psns.R

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

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

`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.

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

Nicolas Schmidt nschmidt@cienciassociales.edu.uy

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)