grahn_2025_tariffs_de

23,184 rated or chosen profiles from 3,864 respondents, in up to 3 tasks of 2 profiles varying on 7 attributes.

One of 2 tables from the same source; this one is the de table. The others are listed under Related tables.

About this table

DescriptionGerman Bilendi panel respondents (April 2025, n = 3,864 in the deposit) chose between 3 pairs of hypothetical coalition agreements varying the coalition, economic policy, protectionism (tariffs, green tariffs or EU-contribution cuts), migration, women's quotas, LGBT funding and social-media regulation; outcomes are the preferred agreement and a 1-5 likelihood rating of each.
ReferenceGrahn, M., Lawall, K., Mainz, S., Nordbrandt, M., & Turnbull-Dugarte, S. J. (2025). A game of tariffs: Is there demand for tariffs in Europe? Journal of European Public Policy.
DOI10.1080/13501763.2025.2571062
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/H9DPSX

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

Respondents3,864
Rows (one per respondent, task and profile)23,184
Tasks per respondent (most)3
Profiles per task2
Attributes7
Tasks with no profile chosen0

Design

Topicparties platforms
A profile representspolicy
CountryDE
Language shownde
Language of stored levelsde
Randomization restrictionsunknown
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Outcomes:

choiceWhich coalition agreement do you prefer? (paraphrase) [choice, forced]
ratingLikelihood rating of each coalition agreement (paraphrase; wording not deposited) [rating, 1 (Gar nicht wahrscheinlich) to 5 (Sehr wahrscheinlich)]

Columns

attr_coalitionattr_economyattr_lgbtattr_migrationattr_protectionismattr_social_mediaattr_womens_rightschoicecov_affect_eucov_affect_muskcov_affect_netherlandscov_affect_trumpcov_affect_usacov_agecov_dem_satcov_educationcov_employedcov_gendercov_leftrightcov_migrant_familycov_party_idcov_party_id_strengthcov_party_thermometer_afdcov_party_thermometer_bswcov_party_thermometer_cducov_party_thermometer_fdpcov_party_thermometer_greencov_party_thermometer_leftcov_party_thermometer_spdcov_regioncov_trust_docscov_trust_merzcov_trust_politicianscov_trust_scholzcov_trust_scientistscov_trust_weidelidprofileratingtask

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("grahn_2025_tariffs_de", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("grahn_2025_tariffs_de", source="conj")

How to cite

@article{Grahn_2025, title={A game of tariffs: is there demand for tariffs in Europe?}, ISSN={1466-4429}, url={http://dx.doi.org/10.1080/13501763.2025.2571062}, DOI={10.1080/13501763.2025.2571062}, journal={Journal of European Public Policy}, publisher={Informa UK Limited}, author={Grahn, Michal and Lawall, Katharina and Mainz, Sophie and Nordbrandt, Maria and Turnbull-Dugarte, Stuart J.}, year={2025}, month=Oct, pages={1–18} }

Version and provenance

IRW versionv584
Redivis datasetirw_conjoint v4.2
Redivis dataset DOI10.57761/qkye-q530
Manifest pin for this IRW versionv4.2
Metadata sourceirw_meta v44.0