bechtel_2020_income_reforms

18,906 rated or chosen profiles from 2,721 respondents, in up to 4 tasks of 2 profiles varying on 6 attributes.

One of 3 tables from the same source; this one is the reforms table. The others are listed under Related tables.

About this table

DescriptionUS online quota sample (Respondi, Sept/Oct 2016; n=2,721) compared up to 4 pairs of policy proposals described only by their income effects (-$5,000 to +$5,000) on the US average, the respondent's own income, their sector's average, and people earning about $10,000, $85,000 and $375,000 a year; they chose one and rated each 1-10 for referendum vote.
ReferenceBechtel, M. M., & Liesch, R. (2020). Reforms and redistribution: Disentangling the egoistic and sociotropic origins of voter preferences. Public Opinion Quarterly, 84(1), 1-23.
DOI10.1093/poq/nfaa006
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/QUPGIN

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

Respondents2,721
Rows (one per respondent, task and profile)18,906
Tasks per respondent (most)4
Profiles per task2
Attributes6
Tasks with no profile chosen0

Design

Topictax welfare economy
A profile representspolicy
CountryUS
Language shownen
Language of stored levelsen
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Outcomes:

choiceWhich policy do you prefer? [choice, forced]
ratingIf you could vote on each of these policies in a referendum, how likely is it that you would vote in favor or against each of the proposals? Please give your answer on the following scale from definitely against (1) to definitely in favor (10). [rating, 1 (Vote definitely against) to 10 (Vote definitely in favor)]

Columns

attr_income_10kattr_income_375kattr_income_85kattr_income_personalattr_income_sectorattr_income_uschoicecov_agecov_altruism_donationcov_attention_passcov_county_unemployment_ratecov_educationcov_gendercov_incomecov_income_highcov_know_defensecov_know_housecov_know_senate_termcov_leftrightcov_occupationcov_party_idcov_racecov_sectorcov_socid_classcov_socid_nationalitycov_socid_occupationcov_socid_racecov_survey_weightcov_weight_likely_voteridprofileratingtasktrial_page_submit_sec

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("bechtel_2020_income_reforms", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("bechtel_2020_income_reforms", source="conj")

How to cite

@article{Bechtel_2020, title={Reforms and Redistribution: Disentangling the Egoistic and Sociotropic Origins of Voter Preferences}, volume={84}, ISSN={1537-5331}, url={http://dx.doi.org/10.1093/poq/nfaa006}, DOI={10.1093/poq/nfaa006}, number={1}, journal={Public Opinion Quarterly}, publisher={Oxford University Press (OUP)}, author={Bechtel, Michael M and Liesch, Roman}, year={2020}, pages={1–23} }

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