duch_2025_covid_incumbents

177,219 rated or chosen profiles from 22,180 respondents, in up to 8 tasks of 1 profile varying on 6 attributes.

About this table

DescriptionOnline respondents in 16 countries (CANDOUR II, 2022) saw single government-leader profiles describing pandemic-era GDP and job growth, vaccine supplies, lockdown length, COVID deaths and vaccination rate, and said whether the leader should be re-elected and rated support 1-7; 22,180 respondents, 8 profiles each.
ReferenceDuch, R., Loewen, P., Robinson, T., & Zakharov, A. (2025). Governing in the face of a global crisis: When do voters punish and reward incumbent governments? Proceedings of the National Academy of Sciences, 122(4), e2405021122.
DOI10.1073/pnas.2405021122
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/HF8YDZ

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

Respondents22,180
Rows (one per respondent, task and profile)177,219
Tasks per respondent (most)8
Profiles per task1
Attributes6
Tasks with no profile chosen99,492

Design

Topiccandidate choice, corruption accountability, health covid
A profile representsperson
CountryAU, BR, CA, CL, CN, CO, FR, GH, IN, IT, JP, ZA, ES, UG, US, GB
Language shownen, pt, es, fr, it, ja, zh
Language of stored levelsen
Randomization restrictionsunknown
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Outcomes:

choiceAs you can see the Government Leader is described by six characteristics: ... Please indicate whether you think YES this Government Leader should be re-elected or NO this Government Leader should not be re-elected. [choice, opt-out allowed]
ratingOn a scale from 1 to 7, where 1 indicates that you Very Strongly Oppose the re-election of this Government Leader and 7 indicates that you Very Strongly Support the re-election of this Government Leader. How would you rate this Government Leader? [rating, 1 (Very Strongly Oppose) to 7 (Very Strongly Support)]

Columns

attr_deathsattr_gdpattr_jobsattr_lockdownattr_vaccinatedattr_vaccine_supplieschoicecov_agecov_attention_passcov_countrycov_dep_childrencov_education_levelcov_gendercov_gov_ratecov_gov_reelectcov_ideologycov_marriedcov_regioncov_survey_weightcov_vaccinatedidprofileratingtask

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("duch_2025_covid_incumbents", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("duch_2025_covid_incumbents", source="conj")

How to cite

@article{Duch_2025, title={Governing in the face of a global crisis: When do voters punish and reward incumbent governments?}, volume={122}, ISSN={1091-6490}, url={http://dx.doi.org/10.1073/pnas.2405021122}, DOI={10.1073/pnas.2405021122}, number={4}, journal={Proceedings of the National Academy of Sciences}, publisher={National Academy of Sciences}, author={Duch, Raymond M. and Loewen, Peter and Robinson, Thomas S. and Zakharov, Alexei}, year={2025}, month=Jan }

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