kruse_2025_expected_contribution

65,520 rated or chosen profiles from 4,368 respondents, in up to 5 tasks of 3 profiles varying on 17 attributes.

About this table

DescriptionEthnic-Danish YouGov respondents (n=4,368, Feb-Mar 2022) saw 15 hypothetical male public-goods-game participants, three at a time (name: Danish or Middle Eastern, born in Denmark, religiosity, age, plus treatment-dependent information), chose who would contribute most and rated each one's expected contribution 0-10 (DKK 100 units).
ReferenceKruse, M. (2025). The correlates of ethnicity: Why the ethnic majority expects that ethnic minorities contribute less to the collective. British Journal of Political Science, 55, e70.
DOI10.1017/S0007123425000092
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/XKY5PI

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

Respondents4,368
Rows (one per respondent, task and profile)65,520
Tasks per respondent (most)5
Profiles per task3
Attributes17
Tasks with no profile chosen0

Design

Topicsocial identity interpersonal
A profile representsperson
CountryDK
Language shownunknown
Language of stored levelsen
Randomization restrictionsyes (stated by the source): born in Denmark depends on name: 90% of Danish-named profiles born in Denmark (Middle Eastern-named 50%); attributes shown depend on the information condition. Level weights: those conditional born-in-Denmark shares; other levels uniform (article)
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:

choiceWhich of the three participants do you think will give the most money to the common pool? (paraphrase) [choice, forced]
ratingHow much do you think this participant will give to the common pool? (paraphrase) [rating, 0 (DKK 0) to 10 (DKK 1,000)]

Columns

attr_ageattr_bornattr_colorattr_drinksattr_educationattr_exerciseattr_gender_rolesattr_homosexual_marriageattr_nameattr_name_originattr_natureattr_petsattr_religiosityattr_residenceattr_tvattr_undeclared_workattr_work_statuschoicecov_age_groupcov_att_coopcov_att_naivcov_attention_pass_1cov_attention_pass_2cov_devicecov_educationcov_gendercov_gender_rolecov_homocov_household_incomecov_occupationcov_party_votecov_personal_incomecov_pol_interestcov_regioncov_relcov_rescov_survey_weightcov_undeclaredcov_welfareidprofileratingtasktrial_information

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("kruse_2025_expected_contribution", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("kruse_2025_expected_contribution", source="conj")

How to cite

@article{Kruse_2025, title={The Correlates of Ethnicity: Why the Ethnic Majority Expects That Ethnic Minorities Contribute Less to the Collective}, volume={55}, ISSN={1469-2112}, url={http://dx.doi.org/10.1017/S0007123425000092}, DOI={10.1017/s0007123425000092}, journal={British Journal of Political Science}, publisher={Cambridge University Press (CUP)}, author={Kruse, Mathias}, year={2025} }

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