16,152 rated or chosen profiles from 2,019 respondents, in up to 8 tasks of 2 profiles varying on 7 attributes.

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

About this table

Description	The same US adults (n=2,019) compared pairs of countries as recipients of climate transfers (political regime, climate risk, policy exposure, income level, relationship with the US, relative efficiency, race): 4 paired tasks (5-8), choosing one and rating each (1-10).
Reference	Gaikwad, N., Genovese, F., & Tingley, D. (2025). Climate action from abroad: Assessing mass support for cross-border climate transfers. International Organization, 79(1), 146-172.
DOI	10.1017/S0020818324000365
Licence	CC0 1.0
Source data	https://doi.org/10.7910/DVN/PQV2BY

Notes

Conjoint table (irw_conjoint_2). Paired conjoint, 4 tasks (numbered 5-8) x 2 profiles, 7 country attributes incl. regime, climate risk, income level and race (white / not white); choice is the preferred country (no opt-out), rating a 1-10 rating of each country (19 missing). Question wording and rating anchors are not in the deposit.

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	2,019
Rows (one per respondent, task and profile)	16,152
Tasks per respondent (most)	8
Profiles per task	2
Attributes	7
Tasks with no profile chosen	0

Design

Topic	climate energy environment
A profile represents	place
Country	US
Language shown	en
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 countries do respondents prefer? (respondents chose their preferred profile of a pair; exact wording not in the deposit) (paraphrase) [choice, forced]
rating	Rating of each countrie 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_climate_riskattr_income_levelattr_policy_exposureattr_political_regimeattr_raceattr_relationship_with_usattr_relative_efficiencychoiceidprofileratingtask

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("gaikwad_2025_climate_country_us", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("gaikwad_2025_climate_country_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 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