chauchard_2019_wealth_accumulation

3,063 rated or chosen profiles from 1,021 respondents, in up to 3 tasks of 1 profile varying on 10 attributes.

About this table

DescriptionLab-in-the-field respondents in Madhepura, Bihar, India (spring 2015, n=1,021) each evaluated 3 single fictitious state legislators varying photo, district, subcaste, party, record, family background, criminal charges, 2010 wealth, wealth increase and suspected illegality; outcomes are whether they would consider voting for him and four 1-5 ratings (job addressing problems, personal help, corruption, violence).
ReferenceChauchard, S., Klasnja, M., & Harish, S. P. (2019). Getting rich too fast? Voters' reactions to politicians' wealth accumulation. The Journal of Politics, 81(4), 1197-1209.
DOI10.1086/704222
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/NMCOBF

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

Respondents1,021
Rows (one per respondent, task and profile)3,063
Tasks per respondent (most)3
Profiles per task1
Attributes10
Tasks with no profile chosen1,133

Design

Topiccandidate choice, corruption accountability
A profile representsperson
CountryIN
Language shownunknown
Language of stored levelsen
Randomization restrictionsyes (stated by the source): legality (suspicion / no suspicion) shown only when the wealth increase is not 'No increase'; one of each respondent's three vignettes carries the respondent's own subcaste, the other two are drawn from the eleven largest subcastes in Madhepura
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Because the attribute levels were not randomized independently, an estimator has to account for the restriction; a plain difference in means across levels can mislead.

Outcomes:

choiceWould you consider voting for this politician? (paraphrase) [choice, opt-out allowed]
rating_corruptHow likely is it that the politician is corrupt? (paraphrase) [rating, 1 (unknown) to 5 (unknown)]
rating_personalHow helpful would the politician be for you personally? (paraphrase) [rating, 1 (unknown) to 5 (unknown)]
rating_reprHow good a job would the politician do in addressing constituents' problems? (paraphrase) [rating, 1 (unknown) to 5 (unknown)]
rating_violenceHow likely is it that the politician would engage in violent activities? (paraphrase) [rating, 1 (unknown) to 5 (unknown)]

Columns

attr_casteattr_crimeattr_districtattr_familyattr_legalityattr_partyattr_photoattr_recordattr_wealth_2010attr_wealth_increaseattrpos_casteattrpos_crimeattrpos_districtattrpos_familyattrpos_legalityattrpos_partyattrpos_recordattrpos_wealth_2010attrpos_wealth_increasechoicecov_agecov_castecov_gendercov_schoolingcov_urbanidprofilerating_corruptrating_personalrating_reprrating_violencetask

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("chauchard_2019_wealth_accumulation", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("chauchard_2019_wealth_accumulation", source="conj")

How to cite

@article{Chauchard_2019, title={Getting Rich Too Fast? Voters’ Reactions to Politicians’ Wealth Accumulation}, volume={81}, ISSN={1468-2508}, url={http://dx.doi.org/10.1086/704222}, DOI={10.1086/704222}, number={4}, journal={The Journal of Politics}, publisher={University of Chicago Press}, author={Chauchard, Simon and Klašnja, Marko and Harish, S.P.}, year={2019}, month=Oct, pages={1197–1209} }

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