lutz_2026_responsibility_sharing

40,800 rated or chosen profiles from 10,200 respondents, in up to 2 tasks of 2 profiles varying on 3 attributes.

About this table

DescriptionAdults in six EU countries (n = 10,200; Denmark, Germany, Greece, Hungary, Italy, Poland) compared two pairs of models of a common European migration policy that varied the mode of refugee protection, the form of migration control and bindingness; forced choice plus a 1-7 rating of each model.
ReferenceLutz, P., & Bachelet, M. (2026). Europe's immigration divide: multidimensional responsibility-sharing as a solution? Journal of European Public Policy, 1-28.
DOI10.1080/13501763.2026.2636284
LicenceCC BY 4.0
Source datahttps://doi.org/10.6084/m9.figshare.31434858

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

Respondents10,200
Rows (one per respondent, task and profile)40,800
Tasks per respondent (most)2
Profiles per task2
Attributes3
Tasks with no profile chosen0

Design

Topicimmigration asylum
A profile representspolicy
CountryDK, DE, GR, HU, IT, PL
Language shownda, de, el, hu, it, pl
Language of stored levelsen
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Outcomes:

choiceWhich of the two models of European migration policy do you favour? Model A or Model B [choice, forced]
ratingHow would you rate Model A [B]? [rating, 1 (strongly disagree) to 7 (strongly agree)]

Columns

attr_controlattr_protectattr_ruleschoicecov_agecov_countrycov_education_groupcov_gendercov_lrsidprofileratingtask

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("lutz_2026_responsibility_sharing", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("lutz_2026_responsibility_sharing", source="conj")

How to cite

@article{Lutz_2026, title={Europe’s immigration divide: multidimensional responsibility-sharing as a solution?}, ISSN={1466-4429}, url={http://dx.doi.org/10.1080/13501763.2026.2636284}, DOI={10.1080/13501763.2026.2636284}, journal={Journal of European Public Policy}, publisher={Informa UK Limited}, author={Lutz, Philipp and Bachelet, Maud}, year={2026}, month=Feb, pages={1–28} }

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