bansak_2016_asylum

180,210 rated or chosen profiles from 18,021 respondents, in up to 5 tasks of 2 profiles varying on 9 attributes.

About this table

Description18,021 eligible voters in 15 European countries (about 1,200 per country, online, 2016) each compared 5 pairs of hypothetical asylum-seeker profiles varying on 9 attributes. Outcomes are forced choice and a 1-7 rating of support for granting asylum.
ReferenceBansak, K., Hainmueller, J., & Hangartner, D. (2016). How economic, humanitarian, and religious concerns shape European attitudes toward asylum-seekers. Science, 354(6309), 217-222.
DOI10.1126/science.aag2147
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/KL0FDF

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

Respondents18,021
Rows (one per respondent, task and profile)180,210
Tasks per respondent (most)5
Profiles per task2
Attributes9
Tasks with no profile chosen0

Design

Topicimmigration asylum
A profile representsperson
CountryAT, CZ, DK, FR, DE, GR, HU, IT, NL, NO, PL, ES, SE, CH, GB
Language shownunknown
Language of stored levelsen
Randomization restrictionsunknown
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Outcomes:

choiceindicator for whether a profile was the preferred profile in its respective pair (paraphrase) [choice, forced]
ratingrating (1-7) of a profile, in terms of degree of support (paraphrase) [rating, 1 (unknown) to 7 (unknown)]

Columns

attr_ageattr_consistencyattr_genderattr_languageattr_occupationattr_originattr_reasonattr_religionattr_vulnerabilitychoicecov_agecov_asylum_homecov_countrycov_eiscedcov_empathy1cov_empathy2cov_employmentcov_gendercov_home_borncov_ideologycov_income_decilecov_party_idcov_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("bansak_2016_asylum", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("bansak_2016_asylum", source="conj")

How to cite

@article{Bansak_2016, title={How economic, humanitarian, and religious concerns shape European attitudes toward asylum seekers}, volume={354}, ISSN={1095-9203}, url={http://dx.doi.org/10.1126/science.aag2147}, DOI={10.1126/science.aag2147}, number={6309}, journal={Science}, publisher={American Association for the Advancement of Science (AAAS)}, author={Bansak, Kirk and Hainmueller, Jens and Hangartner, Dominik}, year={2016}, month=Oct, pages={217–222} }

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