36,200 rated or chosen profiles from 3,620 respondents, in up to 5 tasks of 2 profiles varying on 5 attributes.

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

About this table

Description	Germany respondents (n=3620, Ipsos quota panel, 2018) chose between and rated pairs of carbon tax proposals varying in tax level, import and export exemptions, other countries' participation and (for a random half) the use of the revenue; 5 tasks x 2 profiles, outcomes choice and 1-7 support rating.
Reference	Beiser-McGrath, L. F., & Bernauer, T. (2019). Could revenue recycling make effective carbon taxation politically feasible? Science Advances, 5(9), eaax3323.
DOI	10.1126/sciadv.aax3323
Licence	CC BY 4.0
Source data	https://doi.org/10.5281/zenodo.18144631

Notes

Conjoint table (irw_conjoint_2). Forced choice between two carbon tax proposals (no opt-out) and a 1-7 support rating of each (7 = most supportive, inferred from the authors' 5-7 = supportive coding; wording not in the deposit). The revenue-use attribute was shown to a random half of respondents, otherwise '(not shown)' (trial_revenue_shown). Germany only; N = 3620 respondents, matching the paper.

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	3,620
Rows (one per respondent, task and profile)	36,200
Tasks per respondent (most)	5
Profiles per task	2
Attributes	5
Tasks with no profile chosen	0

Design

Topic	climate energy environment
A profile represents	policy
Country	DE
Language shown	unknown
Language of stored levels	en
Randomization restrictions	unknown
Task order	recorded in the deposit
Profile position	recorded in the deposit

Outcomes:

choice	Which of the two carbon tax proposals do you prefer? (paraphrase) [choice, forced]
rating	Level of support for each proposed carbon tax, 1 to 7 (paraphrase) [rating, 1 (oppose) to 7 (support)]

Columns

attr_domestic_firmattr_foreign_firmattr_oth_countriesattr_revenueattr_taxchoiceidprofileratingtasktrial_revenue_shown

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("beisermcgrath_2019_revenue_de", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("beisermcgrath_2019_revenue_de", source="conj")

How to cite

@article{Beiser_McGrath_2019, title={Could revenue recycling make effective carbon taxation politically feasible?}, volume={5}, ISSN={2375-2548}, url={http://dx.doi.org/10.1126/sciadv.aax3323}, DOI={10.1126/sciadv.aax3323}, number={9}, journal={Science Advances}, publisher={American Association for the Advancement of Science (AAAS)}, author={Beiser-McGrath, Liam F. and Bernauer, Thomas}, year={2019}, month=Sept }

Version and provenance

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