elkjaer_2025_inheritance_tax

31,860 rated or chosen profiles from 3,186 respondents, in up to 5 tasks of 2 profiles varying on 8 attributes.

About this table

Description3,186 adults in England and Wales compared pairs of tax plans (5 tasks) that set income-tax rates for four income bands and inheritance-tax rates for four inheritance bands. Outcomes: preferred plan on income tax and preferred plan on inheritance tax (both forced choices).
ReferenceElkjaer, M. A., Ansell, B., Bokobza, L., Cansunar, A., Haslberger, M., & Nyrup, J. (2025). Why is it so hard to counteract wealth inequality? Evidence from the United Kingdom. World Politics, 77(3), 515-561.
DOI10.1353/wp.2025.a964464
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/dvn/l6hycl

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

Respondents3,186
Rows (one per respondent, task and profile)31,860
Tasks per respondent (most)5
Profiles per task2
Attributes8
Tasks with no profile chosen0

Design

Topictax welfare economy
A profile representspolicy
CountryGB
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 on income tax rates (paraphrase) [choice, forced]
choice_inheritanceWhich of the two tax plans do you prefer on inheritance tax rates (paraphrase) [choice, forced]

Columns

attr_income_12_5k_50kattr_income_50k_150kattr_income_gt150kattr_income_lt12_5kattr_inheritance_125k_500kattr_inheritance_500k_1mattr_inheritance_gt1mattr_inheritance_lt125kchoicechoice_inheritancecov_agecov_educationcov_gendercov_survey_weightidprofiletasktrial_info_treatment

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("elkjaer_2025_inheritance_tax", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("elkjaer_2025_inheritance_tax", source="conj")

How to cite

@article{Elkj_r_2025, title={Why is it so Hard to Counteract Wealth Inequality? Evidence from the United Kingdom}, volume={77}, ISSN={1086-3338}, url={http://dx.doi.org/10.1353/wp.2025.a964464}, DOI={10.1353/wp.2025.a964464}, number={3}, journal={World Politics}, publisher={Project MUSE}, author={Elkjær, Mads Andreas and Ansell, Ben and Bokobza, Laure and Cansunar, Asli and Haslberger, Matthias and Nyrup, Jacob}, year={2025}, month=July, pages={515–561} }

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