bremer_2022_social_spending

37,160 rated or chosen profiles from 3,716 respondents, in up to 5 tasks of 2 profiles varying on 6 attributes.

About this table

Description3,716 voters in Germany, Italy and the UK (Qualtrics panels) each chose between two zero-sum fiscal packages in 5 tasks, where spending on six social policies (training for the unemployed, childcare, education, unemployment benefits, child benefits, pensions) is decreased, unchanged or increased; choice and a 0-10 support rating of each package.
ReferenceBremer, B., & Bürgisser, R. (2022). Public opinion on welfare state recalibration in times of austerity: Evidence from survey experiments. Political Science Research and Methods, 11(1), 34-52.
DOI10.1017/psrm.2021.78
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/7ERIFH

Notes

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Size and shape

Respondents3,716
Rows (one per respondent, task and profile)37,160
Tasks per respondent (most)5
Profiles per task2
Attributes6
Tasks with no profile chosen0

Design

Topictax welfare economy
A profile representspolicy
CountryDE, IT, GB
Language shownde, it, en
Language of stored levelsen
Randomization restrictionsyes (stated by the source): zero-sum packages: the number of attributes set to Increase equals the number set to Decrease; 588 of 729 combinations excluded, 141 remain with equal probability (article Section 3.2); verified in the data
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Because the attribute levels were not randomized independently, an estimator has to account for the restriction; a plain difference in means across levels can mislead.

Outcomes:

choiceChoose between the two fiscal packages (paraphrase; Appendix C instructions not available) [choice, forced]
ratingHow likely are you to support each of the packages (paraphrase) [rating, 0 (unknown) to 10 (unknown)]

Columns

attr_child_benefitsattr_childcare_servicesattr_educationattr_old_age_pensionsattr_training_for_unemployedattr_unemployment_benefitschoicecov_children_u10cov_countrycov_education_codecov_ideology_codecov_income_tercile_codecov_retiredcov_survey_weightidprofileratingtask

The layout (one row per respondent, task and profile; choice/rating outcomes; attr_ columns holding each attribute level as displayed) is defined in the IRW conjoint standard. What the outcomes asked is under Design above.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("bremer_2022_social_spending", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("bremer_2022_social_spending", source="conj")

How to cite

@article{Bremer_2022, title={Public opinion on welfare state recalibration in times of austerity: evidence from survey experiments}, volume={11}, ISSN={2049-8489}, url={http://dx.doi.org/10.1017/psrm.2021.78}, DOI={10.1017/psrm.2021.78}, number={1}, journal={Political Science Research and Methods}, publisher={Cambridge University Press (CUP)}, author={Bremer, Björn and Bürgisser, Reto}, year={2022}, month=Feb, pages={34–52} }

Version and provenance

IRW versionv584
Redivis datasetirw_conjoint_2 v1.4
Redivis dataset DOI10.57761/hk97-wv30
Manifest pin for this IRW versionv1.4
Metadata sourceirw_meta v44.0