90,450 rated or chosen profiles from 9,045 respondents, in up to 5 tasks of 2 profiles varying on 6 attributes.

About this table

Description	Adults in Austria, Italy, the Netherlands, Slovakia, Spain and Sweden (2025, n=9,045) compared pairs of national migration-policy packages on six dimensions (asylum, labour shortages, welfare, regularization, borders, returns), 5 tasks; forced choice plus a 1-7 support rating per policy.
Reference	Jeannet, A.-M., & Rubio, M. G. (2026). PACES public opinion dataset [Data set]. DANS Data Station Social Sciences and Humanities.
Licence	CC BY 4.0
Source data	https://doi.org/10.17026/SS/R6LXP1

Notes

Outcomes: forced choice between Policy A and Policy B (no opt-out) and a 1-7 support rating for each policy (1 = extremely oppose, 7 = extremely support). Attribute text is the English codebook master with "[pipe: COUNTRY]" for the respondent's country (shown translated); dimension order was randomized per respondent but not recorded, and level frequencies vary by card though they balance overall. Six countries pooled with cov_country; weight in cov_survey_weight. (irw#2887)

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

Design

Topic	immigration asylum
A profile represents	policy
Country	AT, IT, NL, SK, ES, SE
Language shown	de, it, nl, sk, es, sv
Language of stored levels	en
Randomization restrictions	yes (stated by the source): Policy A and B must differ on at least one attribute (WP p.10); level frequencies also differ by card position although they balance over all 10 cards (draws not independent per card; scheme undocumented)
Task order	recorded in the deposit
Profile position	recorded 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:

choice	Binary choice about which policy they preferred (paraphrase) [choice, forced]
rating	Rank their support for each policy on a scale from 1 (highly unsupportive) to 7 (highly supportive) (paraphrase) [rating, 1 (Extremely oppose) to 7 (Extremely support)]

Columns

attr_asylumattr_bordersattr_labour_shortagesattr_regularizationattr_returnsattr_welfarechoicecov_birth_yearcov_countrycov_discriminated_groupcov_educationcov_gendercov_income_feelingcov_political_viewscov_survey_weightcov_work_statusidprofileratingtask

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 needed Browse on Redivisexplore and query Croissant 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("jeannet_2026_migration_policy", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("jeannet_2026_migration_policy", source="conj")

How to cite

@misc{https://doi.org/10.17026/ss/r6lxp1,
  doi = {10.17026/SS/R6LXP1},
  url = {https://ssh.datastations.nl/citation?persistentId=doi:10.17026/SS/R6LXP1},
  author = {{A. Jeannet}},
  keywords = {Social Sciences, migration, conjoint exeperiment},
  title = {PACES Public Opinion Dataset},
  journal = {PACES project},
  publisher = {DANS Data Station Social Sciences and Humanities},
  year = {2026}
}

Respondents	9,045
Rows (one per respondent, task and profile)	90,450
Tasks per respondent (most)	5
Profiles per task	2
Attributes	6
Tasks with no profile chosen	0

IRW version	v584
Redivis dataset	irw_conjoint v4.2
Redivis dataset DOI	10.57761/qkye-q530
Manifest pin for this IRW version	v4.2
Metadata source	irw_meta v44.0

jeannet_2026_migration_policy