digiuseppe_2018_trade_agreements

25,120 rated or chosen profiles from 2,512 respondents, in up to 5 tasks of 2 profiles varying on 6 attributes.

About this table

DescriptionUS MTurk workers (July 2016; n=2,512) chose between 5 pairs of hypothetical trade agreements described by effects on US jobs, US growth and partner growth and by the partner's regime and wealth; two of three randomized arms added the agreement's effect on US global influence or the partner's security relationship to the US.
ReferenceDiGiuseppe, M., & Kleinberg, K. B. (2018). Economics, security, and individual-level preferences for trade agreements. International Interactions, 45(2), 289-315.
DOI10.1080/03050629.2019.1551007
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/0HST44

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

Respondents2,512
Rows (one per respondent, task and profile)25,120
Tasks per respondent (most)5
Profiles per task2
Attributes6
Tasks with no profile chosen0

Design

Topicinternational economy
A profile representspolicy
CountryUS
Language shownen
Language of stored levelsen
Randomization restrictionsunknown
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Outcomes:

choiceIndicate which trade agreement you prefer (paraphrase) [choice, forced]

Columns

attr_global_influenceattr_jobsattr_partner_growthattr_regime_economyattr_relationshipattr_us_growthchoicecov_agecov_attention_pass_1cov_attention_pass_2cov_gendercov_raceidprofiletasktrial_arm

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("digiuseppe_2018_trade_agreements", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("digiuseppe_2018_trade_agreements", source="conj")

How to cite

@article{DiGiuseppe_2018, title={Economics, security, and individual-level preferences for trade agreements}, volume={45}, ISSN={1547-7444}, url={http://dx.doi.org/10.1080/03050629.2019.1551007}, DOI={10.1080/03050629.2019.1551007}, number={2}, journal={International Interactions}, publisher={Informa UK Limited}, author={DiGiuseppe, Matthew and Kleinberg, Katja B.}, year={2018}, month=Dec, pages={289–315} }

Version and provenance

IRW versionv584
Redivis datasetirw_conjoint v4.2
Redivis dataset DOI10.57761/qkye-q530
Manifest pin for this IRW versionv4.2
Metadata sourceirw_meta v44.0