franchino_2017_fiscal_union

12,472 rated or chosen profiles from 3,118 respondents, in up to 2 tasks of 2 profiles varying on 6 attributes.

One of 2 tables from the same source; this one is the fiscal_union table. The others are listed under Related tables.

About this table

DescriptionItalian adults (n = 3,118) chose between pairs of Eurozone fiscal union schemes varying tax rate, tax type, spending destination and type, and spending and auditing institutions (2 pairs), and rated each scheme from strongly against to strongly for.
ReferenceFranchino, F., & Segatti, P. (2019). Public opinion on the Eurozone fiscal union: evidence from survey experiments in Italy. Journal of European Public Policy, 26(1), 126-148.
DOI10.1080/13501763.2017.1400087
LicenceCC BY 4.0
Source datahttps://doi.org/10.6084/m9.figshare.5596942

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

Respondents3,118
Rows (one per respondent, task and profile)12,472
Tasks per respondent (most)2
Profiles per task2
Attributes6
Tasks with no profile chosen0

Design

Topicinternational economy, tax welfare economy
A profile representspolicy
CountryIT
Language shownit
Language of stored levelsen
Randomization restrictionsunknown
Task orderinferred from row order
Profile positioninferred from row order

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

Outcomes:

choiceBetween these two schemes, which one do you prefer? [choice, forced]
ratingAre you for or against these two schemes? Express your opinion on a scale ranging from "strongly against" to "strongly for" [rating, 1 (strongly against (molto contrario)) to 4 (strongly for (molto favorevole))]

Columns

attr_contrinstattr_spendattr_spendinstattr_spendtypeattr_taxrateattr_taxtypechoicecov_eu_membership_viewcov_survey_weightidprofileratingtask

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("franchino_2017_fiscal_union", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("franchino_2017_fiscal_union", source="conj")

How to cite

@article{Franchino_2017, title={Public opinion on the Eurozone fiscal union: evidence from survey experiments in Italy}, volume={26}, ISSN={1466-4429}, url={http://dx.doi.org/10.1080/13501763.2017.1400087}, DOI={10.1080/13501763.2017.1400087}, number={1}, journal={Journal of European Public Policy}, publisher={Informa UK Limited}, author={Franchino, Fabio and Segatti, Paolo}, year={2017}, month=Nov, pages={126–148} }

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