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MCMCpack (version 1.7-1)

Nethvote: Dutch Voting Behavior in 1989

Description

Dutch Voting Behavior in 1989.

Arguments

Format

A data frame with 1754 observations and 11 variables from the 1989 Dutch Parliamentary Election Study (Anker and Oppenhuis, 1993). Each observation is a survey respondent. These data are a subset of one of five multiply imputed datasets used in Quinn and Martin (2002). For more information see Quinn and Martin (2002).

vote

A factor giving the self-reported vote choice of each respondent. The levels are CDA (Christen Democratisch Appel), D66 (Democraten 66), Pvda (Partij van de Arbeid), and VVD (Volkspartij voor Vrijheid en Democratie).

distD66

A numeric variable giving the squared ideological distance between the respondent and the D66. Larger values indicate ideological dissimilarity between the respondent and the party.

distPvdA

A numeric variable giving the squared ideological distance between the respondent and the PvdA. Larger values indicate ideological dissimilarity between the respondent and the party.

distVVD

A numeric variable giving the squared ideological distance between the respondent and the VVD. Larger values indicate ideological dissimilarity between the respondent and the party.

distCDA

A numeric variable giving the squared ideological distance between the respondent and the CDA. Larger values indicate ideological dissimilarity between the respondent and the party.

relig

An indicator variable equal to 0 if the respondent is not religious and 1 if the respondent is religious.

class

Social class of respondent. 0 is the lowest social class, 4 is the highest social class.

income

Income of respondent. 0 is lowest and 6 is highest.

educ

Education of respondent. 0 is lowest and 4 is highest.

age

Age category of respondent. 0 is lowest and 12 is highest.

urban

Indicator variable equal to 0 if the respondent is not a resident of an urban area and 1 if the respondent is a resident of an urban area.

References

Kevin M. Quinn and Andrew D. Martin. 2002. ``An Integrated Computational Model of Multiparty Electoral Competition.'' Statistical Science. 17: 405-419.