12,080 rated or chosen profiles from 1,208 respondents, in up to 5 tasks of 2 profiles varying on 6 attributes.
| Description | US MTurk respondents (n=1,208) compared two countries in 5 paired tasks varying alliance with America, military size, trade-induced military growth, conflict likelihood, impact on the US economy and government type; chose which country America should increase trade with and rated support for trade with each (1-10). |
|---|---|
| Reference | Carnegie, A., & Gaikwad, N. (2022). Public opinion on geopolitics and trade: Theory and evidence. World Politics, 74(2), 167-204. |
| DOI | 10.1017/S0043887121000265 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/4DE06H |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 1,208 |
|---|---|
| Rows (one per respondent, task and profile) | 12,080 |
| Tasks per respondent (most) | 5 |
| Profiles per task | 2 |
| Attributes | 6 |
| Tasks with no profile chosen | 0 |
| Topic | international economy, foreign policy security |
|---|---|
| A profile represents | place |
| Country | US |
| Language shown | en |
| Language of stored levels | en |
| Randomization restrictions | observed in the data (not documented by the source): 'Ally of America' always paired with conflict level 'Likelihood stays the same' (decrease levels only for adversaries); level shares unequal: Adversary 75% vs Ally 25%, conflict 'stays the same' 50% |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Because the attribute levels were not randomized independently, an estimator has to account for the restriction; a plain difference in means across levels can mislead.
Outcomes:
| choice | Which country should America increase trade with? [choice, forced] |
|---|---|
| rating | How much would you support or oppose increasing trade with Country A [B] [rating, 1 (oppose) to 10 (support)] |
attr_allianceattr_conflictattr_governmentattr_military_growthattr_military_sizeattr_us_economyattrpos_allianceattrpos_conflictattrpos_governmentattrpos_military_growthattrpos_military_sizeattrpos_us_economychoicecov_agecov_education_codecov_foreign_interestcov_gendercov_incomecov_job_securitycov_liberalcov_marital_statuscov_occupation_catcov_party_idcov_racecov_religionidprofileratingtask
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("carnegie_2022_trade_partners", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("carnegie_2022_trade_partners", source="conj")
@article{Carnegie_2022, title={Public Opinion on Geopolitics and Trade: Theory and Evidence}, volume={74}, ISSN={1086-3338}, url={http://dx.doi.org/10.1017/S0043887121000265}, DOI={10.1017/s0043887121000265}, number={2}, journal={World Politics}, publisher={Project MUSE}, author={Carnegie, Allison and Gaikwad, Nikhar}, year={2022}, month=Apr, pages={167–204} }
| 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 |