ballardrosa_2017_income_tax

36,000 rated or chosen profiles from 2,250 respondents, in up to 8 tasks of 2 profiles varying on 7 attributes.

About this table

DescriptionUS adults (YouGov, June 2014, n = 2,250) chose between 8 pairs of hypothetical federal income tax plans varying in the marginal rate for six income brackets and, for 2,000 respondents, the plan's total revenue relative to today; outcome is the preferred plan.
ReferenceBallard-Rosa, C., Martin, L., & Scheve, K. (2017). The structure of American income tax policy preferences. The Journal of Politics, 79(1), 1-16.
DOI10.1086/687324
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/NGRGS5

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

Respondents2,250
Rows (one per respondent, task and profile)36,000
Tasks per respondent (most)8
Profiles per task2
Attributes7
Tasks with no profile chosen0

Design

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

Outcomes:

choiceWhich of the two tax plans do you prefer? (paraphrase) [choice, forced]

Columns

attr_rate_10k_35kattr_rate_175k_375kattr_rate_35k_85kattr_rate_85k_175kattr_rate_over_375kattr_rate_under_10kattr_revenuechoicecov_agecov_attention_passcov_birth_yearcov_duration_seccov_educationcov_gendercov_hh_incomecov_ideologycov_party_idcov_party_id7cov_racecov_survey_weightidprofiletasktrial_saw_revenue

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("ballardrosa_2017_income_tax", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("ballardrosa_2017_income_tax", source="conj")

How to cite

@article{Ballard_Rosa_2017, title={The Structure of American Income Tax Policy Preferences}, volume={79}, ISSN={1468-2508}, url={http://dx.doi.org/10.1086/687324}, DOI={10.1086/687324}, number={1}, journal={The Journal of Politics}, publisher={University of Chicago Press}, author={Ballard-Rosa, Cameron and Martin, Lucy and Scheve, Kenneth}, year={2017}, month=Jan, pages={1–16} }

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