nukui_2025_female_successors

7,209 rated or chosen profiles from 7,209 respondents, in up to 1 tasks of 1 profile varying on 2 attributes.

About this table

Description7,209 Japanese local council members each read one vignette about a hypothetical potential successor whose gender (man/woman) and age (32/65) were randomized, and rated their willingness to nominate the person, their supporters' likely acceptance, and the person's electability (each 1-4).
ReferenceNukui, H., Miwa, H., & Ono, Y. (2025). Preferences for female successors: Evidence from a survey experiment among Japanese local politicians. Electoral Studies, 96, 102956.
DOI10.1016/j.electstud.2025.102956
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/6TRWIQ

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

Respondents7,209
Rows (one per respondent, task and profile)7,209
Tasks per respondent (most)1
Profiles per task1
Attributes2

Design

Topiccandidate choice
A profile representsperson
CountryJP
Language shownja
Language of stored levelsen
Randomization restrictionsunknown
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Outcomes:

ratingIf you were thinking of retiring from your position as a local council member and were looking for a successor, would you be willing to nominate this person as your successor? Please select one option that applies. (If you feel that neither option fully applies, please choose the one that you feel is closest.) (translated) [rating, 1 (I would be unwilling to appoint them.) to 4 (I would be willing to appoint them.)]
rating_electabilityIf this person were to become your successor, do you think this person would be able to obtain enough support to get elected from the local constituencies? Please select one option that applies. (If you feel that neither option fully applies, please choose the one that you feel is closest.) (translated) [rating, 1 (I think they would not gain the necessary support to win.) to 4 (I think they would gain the necessary support to win.)]
rating_supportIf this person were to become your successor, how satisfied do you think your supporters and local support base would be? Please select one option that applies. (If you feel that neither option fully applies, please choose the one that you feel is closest.) (translated) [rating, 1 (I think they would not accept it.) to 4 (I think they would accept it.)]

Columns

attr_ageattr_gendercov_age_groupcov_blockcov_designatedcov_did_codecov_gendercov_magnitude_codecov_municipalitycov_tenureidprofileratingrating_electabilityrating_supporttask

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("nukui_2025_female_successors", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("nukui_2025_female_successors", source="conj")

How to cite

@article{Nukui_2025, title={Preferences for female successors: Evidence from a survey experiment among Japanese local politicians}, volume={96}, ISSN={0261-3794}, url={http://dx.doi.org/10.1016/j.electstud.2025.102956}, DOI={10.1016/j.electstud.2025.102956}, journal={Electoral Studies}, publisher={Elsevier BV}, author={Nukui, Hikaru and Miwa, Hirofumi and Ono, Yoshikuni}, year={2025}, month=Aug, pages={102956} }

Version and provenance

IRW versionv584
Redivis datasetirw_conjoint_2 v1.4
Redivis dataset DOI10.57761/hk97-wv30
Manifest pin for this IRW versionv1.4
Metadata sourceirw_meta v44.0