22,260 rated or chosen profiles from 2,232 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 it table. The others are listed under Related tables.

About this table

Description	2,232 respondents in Italy (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.
Reference	Huebscher, E., Sattler, T., & Wagner, M. (2018). Voter responses to fiscal austerity [Working paper]. SSRN.
DOI	10.2139/ssrn.3289341
Licence	CC0 1.0
Source data	https://doi.org/10.7910/DVN/VHS0J3

Notes

Conjoint table (irw_conjoint_2). Italy: five screens of two policy packages (one conservative, one leftist party; small/large cuts to health, pensions, education, unemployment benefits, infrastructure; tax increase none/across the board/for the wealthy only); choice = would vote for this package (one of the two, or neither: opt-out). Levels are codebook labels, not the on-screen wording; vote question wording not in the deposit. Rows with no package or vote dropped; cov_survey_weight is NA on about a fifth of rows.

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Design

Topic	tax welfare economy, parties platforms
A profile represents	policy
Country	IT
Language shown	unknown
Language of stored levels	en
Randomization restrictions	yes (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 order	recorded in the deposit
Profile position	inferred 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:

choice	Would 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 needed Browse on Redivisexplore and query Croissant 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_it", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("huebscher_2018_austerity_it", 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} }

Respondents	2,232
Rows (one per respondent, task and profile)	22,260
Tasks per respondent (most)	5
Profiles per task	2
Attributes	7
Tasks with no profile chosen	8,719

IRW version	v584
Redivis dataset	irw_conjoint_2 v1.4
Redivis dataset DOI	10.57761/hk97-wv30
Manifest pin for this IRW version	v1.4
Metadata source	irw_meta v44.0

huebscher_2018_austerity_it