12,464 rated or chosen profiles from 1,558 respondents, in up to 4 tasks of 2 profiles varying on 7 attributes.

About this table

Description	German YouGov respondents (October-November 2021; n=1,558) made 4 forced choices between two government climate proposals varying the policy, timing of costs, tax design, complexity, GDP cost or benefit, who proposed it and public support.
Reference	Devine, D., Stoker, G., & Jennings, W. (2024). Political trust and climate policy choice: Evidence from a conjoint experiment. Journal of Public Policy, 44(2), 327-343.
DOI	10.1017/S0143814X23000430
Licence	CC0 1.0
Source data	https://doi.org/10.7910/DVN/NC5FMP

Notes

Conjoint table (irw_conjoint). choice: "Which proposal would you prefer to be implemented?" (Proposal A / Proposal B, no don't-know option). Attribute order randomized per respondent and fixed across tasks (attrpos_; policy always first); restrictions undocumented. Level text is English (instrument labels; pricing, GDP and recommended-by abbreviated as in the article's Table 1) although respondents saw German. N = 1,558 matches the article.

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

Design

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

Outcomes:

choice	Which proposal would you prefer to be implemented? [choice, forced]

Columns

attr_complexityattr_gdpattr_policyattr_pricingattr_public_supportattr_recommended_byattr_timingattrpos_complexityattrpos_gdpattrpos_policyattrpos_pricingattrpos_public_supportattrpos_recommended_byattrpos_timingchoicecov_climate_importancecov_climate_mythcov_left_rightcov_scientists_paniccov_trustcov_trust_climatecov_vote_2021cov_worried_effectsidprofiletask

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("devine_2024_climate_policy", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("devine_2024_climate_policy", source="conj")

How to cite

@article{Devine_2024, title={Political trust and climate policy choice: evidence from a conjoint experiment}, volume={44}, ISSN={1469-7815}, url={http://dx.doi.org/10.1017/S0143814X23000430}, DOI={10.1017/s0143814x23000430}, number={2}, journal={Journal of Public Policy}, publisher={Cambridge University Press (CUP)}, author={Devine, Daniel and Stoker, Gerry and Jennings, Will}, year={2024}, month=Jan, pages={327–343} }

Respondents	1,558
Rows (one per respondent, task and profile)	12,464
Tasks per respondent (most)	4
Profiles per task	2
Attributes	7
Tasks with no profile chosen	0

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

devine_2024_climate_policy