gaikwad_2025_climate_policy_us

16,152 rated or chosen profiles from 2,019 respondents, in up to 4 tasks of 2 profiles varying on 7 attributes.

One of 4 tables from the same source; this one is the policy_us table. The others are listed under Related tables.

About this table

DescriptionUS adults (n=2,019) compared pairs of cross-border climate-transfer policies (target, cost, duration, goal, compensation share, partners, reciprocity by other rich countries): 4 paired tasks, choosing one policy and rating each (1-10).
ReferenceGaikwad, N., Genovese, F., & Tingley, D. (2025). Climate action from abroad: Assessing mass support for cross-border climate transfers. International Organization, 79(1), 146-172.
DOI10.1017/S0020818324000365
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/PQV2BY

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

Respondents2,019
Rows (one per respondent, task and profile)16,152
Tasks per respondent (most)4
Profiles per task2
Attributes7
Tasks with no profile chosen0

Design

Topicclimate energy environment
A profile representspolicy
CountryUS
Language shownen
Language of stored levelsen
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Outcomes:

choiceWhich of the two policies do respondents prefer? (respondents chose their preferred profile of a pair; exact wording not in the deposit) (paraphrase) [choice, forced]
ratingRating of each policie on a ten-point scale (exact wording not in the deposit) (paraphrase) [rating, 1 (not stated (lowest)) to 10 (not stated (highest; higher assumed more favourable))]

Columns

attr_compensationattr_costattr_durationattr_goalattr_partnersattr_reciprocityattr_targetchoiceidprofileratingtask

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("gaikwad_2025_climate_policy_us", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("gaikwad_2025_climate_policy_us", source="conj")

How to cite

@article{Gaikwad_2025, title={Climate Action from Abroad: Assessing Mass Support for Cross-Border Climate Transfers}, volume={79}, ISSN={1531-5088}, url={http://dx.doi.org/10.1017/S0020818324000365}, DOI={10.1017/s0020818324000365}, number={1}, journal={International Organization}, publisher={Cambridge University Press (CUP)}, author={Gaikwad, Nikhar and Genovese, Federica and Tingley, Dustin}, year={2025}, pages={146–172} }

Version and provenance

IRW versionv584
Redivis datasetirw_conjoint_2 v1.4
Redivis dataset DOI10.57761/hk97-wv30
Manifest pin for this IRW versionv1.4
Metadata sourceirw_meta v44.0