govtform | R Documentation |
Data from a study on Western European government formation duration. Data is at the country-level (N = 409). Variable names are taken directly from original dataset. The data is publicly available and has been included here with the endorsement of the author. Please see the original codebook for a more detailed description of the variables.
data(govtform)
A data frame with 410 rows and 18 variables. The following are taken from the codebook at doi: 10.7910/DVN/BUWZBA.
names of countries used in analysis
unique number identifying each country
unique number identifying each country. Begins with country code, followed by cabinets 1 - n
the number of days between either an election or the resignation of the previous government and the day on which the new government is officially inaugurated
date on which a government took office. Format is YYMMDD
date on which a government left office. Format is YYMMDD
dichotomous variable that equals 1 if a government is the first to form after an election (more uncertainty) and 0 if it forms in an interelection period (less uncertainty)
dichotomous variable that equals 1 if the government is nonpartisan and 0 otherwise
a fraction representing the number of parties that have won legislative seats. See codebook for more detail
the number of inconclusive bargaining rounds prior to a new government successfully forming
cabinet name identified by surname of prime minister (followed by a number if the PM presided over more than one cabinet)
dichotomous variable that equals 1 if a single party controls a majority of the legislative seats, 0 otherwise
measures the level of ideological polarization in the party system. See codebook for more detail
dichotomous variable that equals 1 if the outgoing government or formateur gets the first opportunity to form a new government, 0 otherwise. See codebook for more detail
dichotomous variable that equals 1 if a new government requires the explicit support of a legislative majority in order to take office, 0 otherwise. See codebook for more detail
interaction term made by multiplying the postelection variable with the legislative_parties variable
interaction term made by multiplying the postelection variable with the polarization variable
interaction term made by multiplying the postelection variable with the positive_parl variable
doi: 10.7910/DVN/BUWZBA
Golder, S. N. (2010). Bargaining delays in the government formation process. Comparative Political Studies, 43(1), 3-32. doi: 10.1177/0010414009341714
data(govtform) library(survival) library(coxrobust) library(modeLLtest) # Survival models with data from Golder (2010) golder_surv <- Surv(govtform$bargainingdays) golder_x <- cbind(govtform$postelection, govtform$legislative_parties, govtform$polarization, govtform$positive_parl, govtform$post_legislative_parties, govtform$post_polariz, govtform$post_positive, govtform$continuation, govtform$singleparty_majority) colnames(golder_x) <- c("govtform$postelection", "govtform$legislative_parties", "govtform$polarization", "govtform$positive_parl", "govtform$post_legislative_parties", "govtform$post_polariz", "govtform$post_positive", "govtform$continuation", "govtform$singleparty_majority") golder_cox <- coxph(golder_surv ~ golder_x, method = "efron", data = govtform) golder_robust <- coxr(golder_surv ~ golder_x, data = govtform) # Comparing PLM to IRR methods of estimating the survival model obj_cvmf_golder <- cvmf(golder_surv ~ golder_x, method = "efron", data = govtform) obj_cvmf_golder
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