Description

Dutch Voting Behavior in 1989.

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.

Source

H. Anker and E.V. Oppenhuis. 1993. “Dutch Parliamentary Election Study.” (computer file). Dutch Electoral Research Foundation and Netherlands Central Bureau of Statistics, Amsterdam.

References

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