parties: Electoral institutions, social heterogeneity, and number of...
In pos5737/pos5737data: Data for POS 5737

Description Usage Format Source References Examples

A tidied dataset from Clark and Golder (2006). These are the data they use in their model from Table 2, Pooled Analysis, Whole Sample. See their paper for fuller descriptions of the variables. Their full replication data are available at on Dataverse. These data largely derive from Matt Golder and Nils-Christian Bormann's DES data discussed in this paper this paper.

parties

A data frame with 555 rows and 10 variables:

country: the name of the country
year: the year of the election
average_magnitude: the average district magnitude of electoral districts for the lower house
eneg: the effective number of ethnic groups
enep: the effective number of electoral parties
upper_tier: the percentage of seats allocated in upper tiers
en_pres: the effective number of presidential candidates
proximity: the temporal proximity of presidential and legislative elections
social_heterogeneity: qualitative version of eneg
electoral_system: qualitative version of average_magnitude; small-magnitude PR systems have an average magnitude between 1 and 7

Data from Clark and Golder (2006) available on Dataverse.

Clark, William Roberts, and Matt Golder. 2006. "Rehabilitating Duverger's Theory: Testing the Mechanical and Strategic Modifying Effects of Electoral Laws." Comparative Political Studies 39(6): 679-708. [paper]

# load data
data(parties)

# regression model from their table 2, pooled analysis, whole sample
fit <- lm(enep ~ log(average_magnitude)*eneg + upper_tier*eneg + en_pres*proximity, data = parties)
summary(fit)