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.
| Description | Italian 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. |
|---|---|
| Reference | Franchino, 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. |
| DOI | 10.1080/13501763.2017.1400087 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.6084/m9.figshare.5596942 |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 3,118 |
|---|---|
| Rows (one per respondent, task and profile) | 12,472 |
| Tasks per respondent (most) | 2 |
| Profiles per task | 2 |
| Attributes | 6 |
| Tasks with no profile chosen | 0 |
| Topic | international economy, tax welfare economy |
|---|---|
| A profile represents | policy |
| Country | IT |
| Language shown | it |
| Language of stored levels | en |
| Randomization restrictions | unknown |
| Task order | inferred from row order |
| Profile position | inferred from row order |
Task order or profile position was rebuilt from row order; analyses of position or task order should leave it out.
Outcomes:
| choice | Between these two schemes, which one do you prefer? [choice, forced] |
|---|---|
| rating | Are 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))] |
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.
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")
@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} }
| 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 |