huebscher_2018_austerity_pt

22,486 rated or chosen profiles from 2,255 respondents, in up to 5 tasks of 2 profiles varying on 7 attributes.

One of 5 tables from the same source; this one is the pt table. The others are listed under Related tables.

About this table

Description2,255 respondents in Portugal (March 2018) each saw five screens of two policy packages from a conservative and a leftist party (cuts to five services of small or large size, tax increase none/across the board/wealthy only) and said which, if either, they would vote for.
ReferenceHuebscher, E., Sattler, T., & Wagner, M. (2018). Voter responses to fiscal austerity [Working paper]. SSRN.
DOI10.2139/ssrn.3289341
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/VHS0J3

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

Respondents2,255
Rows (one per respondent, task and profile)22,486
Tasks per respondent (most)5
Profiles per task2
Attributes7
Tasks with no profile chosen6,725

Design

Topictax welfare economy, parties platforms
A profile representspolicy
CountryPT
Language shownunknown
Language of stored levelsen
Randomization restrictionsyes (stated by the source): The party attribute always differs within a task: one conservative and one leftist package (checked in every task); no other restriction documented.
Task orderrecorded in the deposit
Profile positioninferred from row order

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. Task order or profile position was rebuilt from row order; analyses of position or task order should leave it out.

Outcomes:

choiceWould you vote for this party/package (of the two shown), or neither? (vote intention per package; paraphrase, wording not in deposit) [choice, opt-out allowed]

Columns

attr_education_cutsattr_health_cutsattr_infrastructure_cutsattr_partyattr_pension_cutsattr_tax_increaseattr_unemployment_cutschoicecov_agecov_educationcov_gendercov_identifies_center_leftcov_income_decilecov_left_rightcov_survey_weightidprofiletask

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("huebscher_2018_austerity_pt", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("huebscher_2018_austerity_pt", source="conj")

How to cite

@article{Huebscher_2018, title={Voter Responses to Fiscal Austerity}, ISSN={1556-5068}, url={http://dx.doi.org/10.2139/ssrn.3289341}, DOI={10.2139/ssrn.3289341}, journal={SSRN Electronic Journal}, publisher={Elsevier BV}, author={Huebscher, Evelyne and Sattler, Thomas and Wagner, Markus}, year={2018} }

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