gampfer_2014_climate_funding_de

18,000 rated or chosen profiles from 1,500 respondents, in up to 6 tasks of 2 profiles varying on 7 attributes.

One of 2 tables from the same source; this one is the de table. The others are listed under Related tables.

About this table

DescriptionGerman residents (n=1,500, YouGov matched sample, Oct-Nov 2013, German text) chose between two North-South climate funding proposals in 6 tasks, each proposal described by 7 attributes (damage, income and carbon emissions of recipient countries relative to Germany, efficiency, who decides on funding, what the funds are used for, and the Germany contribution versus other countries); outcome is the chosen proposal (forced choice).
ReferenceGampfer, R., Bernauer, T., & Kachi, A. (2014). Obtaining public support for North-South climate funding: Evidence from conjoint experiments in donor countries. Global Environmental Change, 29, 118-126.
DOI10.1016/j.gloenvcha.2014.08.006
LicenceCC BY 4.0
Source datahttps://doi.org/10.5281/zenodo.17969439

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

Respondents1,500
Rows (one per respondent, task and profile)18,000
Tasks per respondent (most)6
Profiles per task2
Attributes7
Tasks with no profile chosen0

Design

Topicclimate energy environment, international economy
A profile representspolicy
CountryDE
Language shownde
Language of stored levelsde
Randomization restrictionsobserved in the data (not documented by the source): Carbon-emission levels 'Similar to' and 'Somewhat lower than' the home country occur only with income levels 'Similar' or 'Somewhat lower' (4 of 16 income x carbon cells are empty), so the carbon shares are unequal (about 3:1); not documented in the deposit.
Task orderrecorded in the deposit
Profile positionrecorded 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:

choiceWhich proposal do you prefer: Proposal 1 or Proposal 2? (paraphrase: the deposit has only the variable label 'Conjoint Experiment - Table t' and the values Proposal 1 / Proposal 2) [choice, forced]

Columns

attr_carbonattr_contributionattr_damageattr_efficiencyattr_funding_decisionsattr_funding_useattr_incomechoicecov_birth_yearcov_educationcov_gendercov_survey_weightidprofiletask

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("gampfer_2014_climate_funding_de", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("gampfer_2014_climate_funding_de", source="conj")

How to cite

@article{Gampfer_2014, title={Obtaining public support for North-South climate funding: Evidence from conjoint experiments in donor countries}, volume={29}, ISSN={0959-3780}, url={http://dx.doi.org/10.1016/j.gloenvcha.2014.08.006}, DOI={10.1016/j.gloenvcha.2014.08.006}, journal={Global Environmental Change}, publisher={Elsevier BV}, author={Gampfer, Robert and Bernauer, Thomas and Kachi, Aya}, year={2014}, month=Nov, pages={118–126} }

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