guidi_2026_fdi_italy

5,915 rated or chosen profiles from 1,183 respondents, in up to 5 tasks of 1 profile varying on 7 attributes.

One of 3 tables from the same source; this one is the italy table. The others are listed under Related tables.

About this table

DescriptionItalian adults (Bilendi opt-in panel, April 2024) judged 5 hypothetical foreign acquisitions of a domestic company, varying the acquiring country, relative gains, reciprocity in openness, and the target's size, performance, technology and sector, and said whether the government should block each. 1,183 respondents who passed the attention screener.
ReferenceGuidi, M., Moro, F. N., & Poletti, A. (2026). Geopolitics and opposition to foreign direct investment in the EU: Evidence from a conjoint experiment. Business and Politics.
DOI10.1017/bap.2026.10027
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/XJ5BUG

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

Respondents1,183
Rows (one per respondent, task and profile)5,915
Tasks per respondent (most)5
Profiles per task1
Attributes7
Tasks with no profile chosen2,895

Design

Topicinternational economy
A profile representsscenario
CountryIT
Language shownit
Language of stored levelsen
Randomization restrictionsunknown
Task orderinferred from row order
Profile positionrecorded in the deposit

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

Outcomes:

choiceShould the government block the acquisition? (paraphrase) [choice, opt-out allowed]

Columns

attr_acquiring_countryattr_reciprocityattr_relative_gainsattr_target_performanceattr_target_sectorattr_target_sizeattr_target_technologychoicecov_anti_governmentcov_anti_tradecov_china_shockcov_degreecov_right_wingcov_workingidprofiletask

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("guidi_2026_fdi_italy", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("guidi_2026_fdi_italy", source="conj")

How to cite

@article{Guidi_2026, title={Geopolitics and opposition to foreign direct investment in the EU: evidence from a conjoint experiment}, ISSN={1469-3569}, url={http://dx.doi.org/10.1017/bap.2026.10027}, DOI={10.1017/bap.2026.10027}, journal={Business and Politics}, publisher={Cambridge University Press (CUP)}, author={Guidi, Mattia and Moro, Francesco Niccolò and Poletti, Arlo}, year={2026}, month=Sept, pages={1–21} }

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