kramon_2025_democratic_innovations

4,172 rated or chosen profiles from 1,043 respondents, in up to 2 tasks of 2 profiles varying on 3 attributes.

About this table

DescriptionPaired conjoint on how a district allocates a public-goods project: 1,043 Ghanaian adults (Ipsos face-to-face, nationally representative, 2023) compared 2 pairs of decision processes (status quo, citizen-elite deliberation, participatory, mini-public) varying party endorsement and whether their community gets the project; choice plus 1-7 fairness and democratic ratings.
ReferenceKramon, E. (2025). Are democratic innovations legitimate to the broader public? Evidence from survey experiments in Ghana. British Journal of Political Science.
DOI10.1017/S000712342510094X
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/JDUUGI

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

Respondents1,043
Rows (one per respondent, task and profile)4,172
Tasks per respondent (most)2
Profiles per task2
Attributes3
Tasks with no profile chosen0

Design

Topicdemocracy institutions
A profile representspolicy
CountryGH
Language showndag, ee, gaa, tw
Language of stored levelsen
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Outcomes:

choiceWhich of these processes would you prefer? [choice, forced]
rating_democraticThinking of process A [B], how democratic would you say it is? [rating, 1 (Extremly not democratic) to 7 (Extremly democratic)]
rating_fairThinking of process A [B], how fair would you say it is? [rating, 1 (Extremly unfair) to 7 (Extremly fair)]

Columns

attr_endorsementattr_processattr_projectchoicecov_age_groupcov_gendercov_ndc_partisancov_npp_partisancov_ruralidprofilerating_democraticrating_fairtask

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("kramon_2025_democratic_innovations", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("kramon_2025_democratic_innovations", source="conj")

How to cite

@article{Kramon_2025, title={Are Democratic Innovations Legitimate to the Broader Public? Evidence from Survey Experiments in Ghana}, volume={55}, ISSN={1469-2112}, url={http://dx.doi.org/10.1017/S000712342510094X}, DOI={10.1017/s000712342510094x}, journal={British Journal of Political Science}, publisher={Cambridge University Press (CUP)}, author={Kramon, Eric}, 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