| gles17 {svyweight} | R Documentation |
Partial Data from the 2017 German Election Survey
Description
Partial data from the pre-election 2017 wave of the German Longitudinal Election Study (GLES). Includes variables for vote in the 2013 German federal election to the Bundestag (lower house of parliament) - specifically the 'second vote'. Also includes other demographics that might be used for weighting, such as gender, birth year, and state. Each row in the dataset is a unique respondent who completed the survey.
Usage
gles17
Format
A data frame with 2179 rows and 11 columns:
- gender
gender
- educ
educational attainment, based on kind of secondary school from which respondent graduated
- gender_educ
interaction of gender and education attainment
- birthyear
four-digit birth year
- votingage
eligibility to vote in the (upcoming) 2017 German federal elections
- agecat
approximate age category in 2017, estimated from birth year
- state
state the respondent lives in
- eastwest
whether the respondent lives in East or West Germany
- vote2013
respondent's reported vote in 2013 (specifically the 'second vote')
- turnout2013
whether the respondent actually voted in 2013
- votecurrent
party the respondent plans to vote for in the upcoming (2017) election
- intnum
unique code for the interviewer who conducted an interview
- vpoint
unique code anonymously identifying census block where an interview was conducted
- hhsize
number of people in the household
- dweight
nationally-representative design weight supplied by the GLES study authors
...
Source
GLES data and documentation is available at https://gles-en.eu/download-data/vor-und-nachwahlquerschnitt-2017/. Data is taken from the pre-election wave, file ZA6800, for a limited number of variables. Note that most documentation is available in English, but some may be in German only.