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.
| Description | US 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). |
|---|---|
| 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 |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 2,019 |
|---|---|
| Rows (one per respondent, task and profile) | 16,152 |
| Tasks per respondent (most) | 4 |
| Profiles per task | 2 |
| Attributes | 7 |
| Tasks with no profile chosen | 0 |
| Topic | climate energy environment |
|---|---|
| A profile represents | policy |
| Country | US |
| Language shown | en |
| Language of stored levels | en |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| choice | Which of the two policies do respondents prefer? (respondents chose their preferred profile of a pair; exact wording not in the deposit) (paraphrase) [choice, forced] |
|---|---|
| rating | Rating 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))] |
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.
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")
@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} }
| 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 |