20,340 rated or chosen profiles from 2,034 respondents, in up to 5 tasks of 2 profiles varying on 2 attributes.
| Description | Swiss residents (IPSOS online quota sample, December 2017, n = 2,034) saw 5 pairs of proposals (initiative vs counter-proposal) to cut car emissions, each a policy instrument (7) with an implementation year (2025-2045) under an EV or emission-reduction frame; outcomes are support/reject of each proposal and the choice between them. |
|---|---|
| Reference | Huber, R. A., Wicki, M. L., & Bernauer, T. (2020). Public support for environmental policy depends on beliefs concerning effectiveness, intrusiveness, and fairness. Environmental Politics, 29(4), 649-673. |
| DOI | 10.1080/09644016.2019.1629171 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/2V2LGK |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 2,034 |
|---|---|
| Rows (one per respondent, task and profile) | 20,340 |
| Tasks per respondent (most) | 5 |
| Profiles per task | 2 |
| Attributes | 2 |
| Tasks with no profile chosen | 0 |
| Topic | climate energy environment |
|---|---|
| A profile represents | policy |
| Country | CH |
| Language shown | de, fr, it |
| Language of stored levels | en |
| Randomization restrictions | unknown |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| choice | Which do you choose: the initiative or the counter-proposal? (paraphrase) [choice, forced] |
|---|---|
| rating | Would you support or reject this proposal? (paraphrase) [rating, 0 (reject) to 1 (support)] |
attr_implementation_yearattr_policychoicecov_agecov_car_ban_effectivecov_car_ban_faircov_car_ban_intrusivecov_car_ban_supportcov_car_tax_effectivecov_car_tax_faircov_car_tax_intrusivecov_car_tax_supportcov_educationcov_energy_label_effectivecov_energy_label_faircov_energy_label_intrusivecov_energy_label_supportcov_env_bonus_effectivecov_env_bonus_faircov_env_bonus_intrusivecov_env_bonus_supportcov_gendercov_info_campaign_effectivecov_info_campaign_faircov_info_campaign_intrusivecov_info_campaign_supportcov_languagecov_lrcov_parking_effectivecov_parking_faircov_parking_intrusivecov_parking_supportcov_regioncov_road_pricing_effectivecov_road_pricing_faircov_road_pricing_intrusivecov_road_pricing_supportcov_urban_ruralidprofileratingtasktrial_frame
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("huber_2020_car_policy_instruments", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("huber_2020_car_policy_instruments", source="conj")
@article{Huber_2019, title={Public support for environmental policy depends on beliefs concerning effectiveness, intrusiveness, and fairness}, volume={29}, ISSN={1743-8934}, url={http://dx.doi.org/10.1080/09644016.2019.1629171}, DOI={10.1080/09644016.2019.1629171}, number={4}, journal={Environmental Politics}, publisher={Informa UK Limited}, author={Huber, Robert A. and Wicki, Michael L. and Bernauer, Thomas}, year={2019}, month=June, pages={649–673} }
| 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 |