pardosprado_2026_nhs_tax

57,120 rated or chosen profiles from 3,570 respondents, in up to 8 tasks of 2 profiles varying on 7 attributes.

About this table

Description3,570 British adults (Deltapoll online panel) each compared 8 pairs of hypothetical policy packages to fund the NHS, varying income-tax rates in five income brackets (non-decreasing schedules), the share of government spending on the NHS and whether immigrants are entitled to free health care. Outcomes: choice with a don't-know option and a 1-4 liking rating of each option.
ReferencePardos-Prado, S., & Xena, C. (2026). Immigration, tax progressivity, and support for redistribution. Journal of European Public Policy.
DOI10.1080/13501763.2026.2685818
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/HUCLUE

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

Respondents3,570
Rows (one per respondent, task and profile)57,120
Tasks per respondent (most)8
Profiles per task2
Attributes7
Tasks with no profile chosen3,805

Design

Topictax welfare economy, health covid
A profile representspolicy
CountryGB
Language shownen
Language of stored levelsen
Randomization restrictionsyes (stated by the source): The five bracket tax rates form one schedule drawn from the 126 non-decreasing schedules over 0/15/25/35/45% (article: tax burdens never higher in lower brackets; CJ1 has 126 values, near-equal frequencies). So per-bracket level shares are unequal by construction (e.g. bottom bracket 0% in 70 of 126 schedules, top bracket 45% in 70 of 126), and AMCEs must condition on the allowed combinations.
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:

choiceGenerally speaking, if you had to choose, which one of these two options would you prefer? [choice, opt-out allowed]
ratingAnd just thinking of option A [B], how do you feel about it? [rating, 1 (I like it a lot) to 4 (I don't like it at all)]

Columns

attr_eligibilityattr_nhs_spendingattr_tax_14733_25688attr_tax_25689_43662attr_tax_43663_75500attr_tax_below_14733attr_tax_over_75500choicecov_agecov_educationcov_ethnicitycov_eu_ref_2016cov_gendercov_housingcov_income_bandcov_marital_statuscov_political_attentioncov_regioncov_social_gradecov_survey_weightcov_survey_weight_nonpoliticalcov_vote_2019cov_vote_intentioncov_work_statusidprofileratingtask

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("pardosprado_2026_nhs_tax", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("pardosprado_2026_nhs_tax", source="conj")

How to cite

@article{Pardos_Prado_2026, title={Immigration, tax progressivity, and support for redistribution}, ISSN={1466-4429}, url={http://dx.doi.org/10.1080/13501763.2026.2685818}, DOI={10.1080/13501763.2026.2685818}, journal={Journal of European Public Policy}, publisher={Informa UK Limited}, author={Pardos-Prado, Sergi and Xena, Carla}, year={2026}, month=June, pages={1–25} }

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