davis_2026_ethnic_federalism

4,012 rated or chosen profiles from 1,008 respondents, in up to 2 tasks of 2 profiles varying on 4 attributes.

About this table

DescriptionEthiopian university students (n = 1,008 with a usable task; endline and expansion samples pooled) each chose between two hypothetical federal arrangements in up to 2 pairs, varying who hires civil servants, police structure, who decides language/history policy, and how state borders are drawn. Outcome: forced choice.
ReferenceDavis, B., Dow, D. A., Springman, J., & Tellez, J. F. (2026). Two dilemmas in the politics of ethnic federalism: Experimental evidence from Ethiopia. Journal of Conflict Resolution, 70(9), 1642-1669.
DOI10.1177/00220027261427753
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/XBZV21

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

Respondents1,008
Rows (one per respondent, task and profile)4,012
Tasks per respondent (most)2
Profiles per task2
Attributes4
Tasks with no profile chosen0

Design

Topicdemocracy institutions
A profile representspolicy
CountryET
Language shownunknown
Language of stored levelsen
Randomization restrictionsunknown
Task orderinferred from row order
Profile positionrecorded in the deposit

Task order or profile position was rebuilt from row order; analyses of position or task order should leave it out.

Outcomes:

choiceWhich of the two arrangements do you prefer? (paraphrase; codebook: 'Whether the conjoint profile was chosen by the respondent') [choice, forced]

Columns

attr_bordersattr_cultureattr_hiringattr_policechoicecov_career_planscov_ethnic_violence_anycov_ethnicity3cov_multiethniccov_sampleidprofiletask

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("davis_2026_ethnic_federalism", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("davis_2026_ethnic_federalism", source="conj")

How to cite

@article{Davis_2026, title={Two Dilemmas in the Politics of Ethnic Federalism: Experimental Evidence From Ethiopia}, volume={70}, ISSN={1552-8766}, url={http://dx.doi.org/10.1177/00220027261427753}, DOI={10.1177/00220027261427753}, number={9}, journal={Journal of Conflict Resolution}, publisher={SAGE Publications}, author={Davis, Braeden and Dow, David Andres and Springman, Jeremy and Tellez, Juan Fernando}, year={2026}, month=Feb, pages={1642–1669} }

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