BTLLasso (version 0.1-1)

GLES: German Longitudinal Election Study (GLES)

Description

Data from the German Longitudinal Election Study (GLES), see Rattinger et al. (2014). The GLES is a long-term study of the German electoral process. It collects pre- and post-election data for several federal elections, the data used here originate from the pre-election study for 2013.

Usage

data("GLES")

source

http://www.gesis.org/en/elections-home/gles/data-and-documents/

Details

Variables 1 to 10 represent the response, variables 11 to 18 represent the subject-specific covariates. The response variables are ordinal, with values from 1 to 5. Low values represent string preference of the first-names party, high values represent strong preference of the last-named party.

References

Rattinger, H., S. Rossteutscher, R. Schmitt-Beck, B. Wessels, and C. Wolf (2014): Pre-election cross section (GLES 2013). GESIS Data Archive, Cologne ZA5700 Data file Version 2.0.0. Schauberger, Gunther and Tutz, Gerhard (2015): Modelling Heterogeneity in Paired Comparison Data - an L1 Penalty Approach with an Application to Party Preference Data, Department of Statistics, LMU Munich, Technical Report 183

Examples

data(GLES)