36,742 rated or chosen profiles from 4,655 respondents, in up to 4 tasks of 2 profiles varying on 6 attributes.

About this table

Description	German voters (online survey, January 2012) rated and chose between two Eurozone bailout proposals in up to 4 comparisons, with proposals varying Germany's contribution and share, the creditor haircut, austerity conditions, the endorser and the receiving country. 4,655 respondents; 0-6 referendum-vote rating and a forced choice.
Reference	Bechtel, M. M., Hainmueller, J., & Margalit, Y. (2017). Policy design and domestic support for international bailouts. European Journal of Political Research, 56(4), 864-886.
DOI	10.1111/1475-6765.12210
Licence	CC0 1.0
Source data	https://doi.org/10.7910/DVN/PMPSWJ

Notes

Conjoint table (irw_conjoint). rating: "If you could vote over each proposal in a direct-democratic vote, how likely would you vote against or in favour of each proposal?" stored 0 (vote definitely against) .. 6 (vote definitely in favour), as in the source (article: 1-7). choice: forced choice between the two proposals (Online Appendix), one chosen per comparison. Up to 4 comparisons per respondent; 6 independently randomized attributes, attribute order randomized per respondent (not recorded). Qualtrics IDs re-keyed; no weight.

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

Size and shape

Respondents	4,655
Rows (one per respondent, task and profile)	36,742
Tasks per respondent (most)	4
Profiles per task	2
Attributes	6
Tasks with no profile chosen	0

Design

Topic	international economy
A profile represents	policy
Country	DE
Language shown	de
Language of stored levels	en
Task order	recorded in the deposit
Profile position	recorded in the deposit

Outcomes:

choice	unknown [choice, forced]
rating	If you could vote over each proposal in a direct-democratic vote, how likely would you vote against or in favour of each proposal? Please provide your answer on the following scale ranging from 'vote definitely against' to 'vote definitely in favour'. (translated) [rating, 0 (vote definitely against) to 6 (vote definitely in favour)]

Columns

attr_conditionsattr_contributionattr_countryattr_endorserattr_haircutattr_sharechoicecov_agecov_bailout_support_codecov_educationcov_eu_goodcov_gender_codecov_hh_income_codecov_left_rightcov_vote_intentionidprofileratingtask

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("bechtel_2017_bailouts", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("bechtel_2017_bailouts", source="conj")

How to cite

@article{Bechtel_2017, title={Policy design and domestic support for international bailouts}, volume={56}, ISSN={1475-6765}, url={http://dx.doi.org/10.1111/1475-6765.12210}, DOI={10.1111/1475-6765.12210}, number={4}, journal={European Journal of Political Research}, publisher={Cambridge University Press (CUP)}, author={Bechtel, Michael M. and Hainmueller, Jens and Margalit, Yotam}, year={2017}, month=Nov, pages={864–886} }

Version and provenance

IRW version	v584
Redivis dataset	irw_conjoint v4.2
Redivis dataset DOI	10.57761/qkye-q530
Manifest pin for this IRW version	v4.2
Metadata source	irw_meta v44.0