cammett_2024_clientelism_lebanon

19,640 rated or chosen profiles from 2,455 respondents, in up to 4 tasks of 2 profiles varying on 9 attributes.

About this table

DescriptionPaired candidate-choice conjoint in Lebanon (face-to-face survey, 2017): 2,455 respondents chose between 4 pairs of parliamentary candidates varying gender, experience, sect, clientelist pledge, security rhetoric, piety, education, party (relative to the respondent) and platform; outcome is a forced vote choice. Level text is the Arabic text displayed.
ReferenceCammett, M., Parreira, C., & Atallah, S. (2024). Is clientelism (only) for the poor? Insights on class and clientelism from a survey experiment in Lebanon. Journal of Politics.
DOI10.1086/732967
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/QTCNQD

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

Respondents2,455
Rows (one per respondent, task and profile)19,640
Tasks per respondent (most)4
Profiles per task2
Attributes9
Tasks with no profile chosen0

Design

Topiccandidate choice, corruption accountability
A profile representsperson
CountryLB
Language shownar
Language of stored levelsar
Randomization restrictionsunknown
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Outcomes:

choiceWhich of the two candidates would you vote for? (paraphrase) [choice, forced]

Columns

attr_educationattr_genderattr_partyattr_pietyattr_platformattr_political_experienceattr_relationship_with_supportersattr_sectattr_securitychoicecov_age_codecov_duration_seccov_governorate_codecov_household_income_codecov_household_net_income_codecov_sectcov_sex_codeidprofiletasktrial_prime

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("cammett_2024_clientelism_lebanon", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("cammett_2024_clientelism_lebanon", source="conj")

How to cite

@article{Cammett_2025, title={Is Clientelism (Only) for the Poor? Insights on Class and Clientelism from a Survey Experiment in Lebanon}, volume={87}, ISSN={1468-2508}, url={http://dx.doi.org/10.1086/732967}, DOI={10.1086/732967}, number={3}, journal={The Journal of Politics}, publisher={University of Chicago Press}, author={Cammett, Melani and Parreira, Christiana and Atallah, Sami}, year={2025}, month=July, pages={1204–1209} }

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