16,048 rated or chosen profiles from 2,006 respondents, in up to 4 tasks of 2 profiles varying on 6 attributes.
| Description | Paired conjoint on solar net-metering donation programs in the US: 2,006 Qualtrics panel respondents compared 4 pairs of programs varying federal tax credit, target community, an extra recipient tax credit, average yearly solar profit, community participation and project type; outcomes are a forced choice and the percent of solar profits the respondent would donate under each program. |
|---|---|
| Reference | Gazmararian, A. F., & Tingley, D. (2024). Reimagining net metering: A polycentric model for equitable solar adoption in the United States. Energy Research & Social Science, 108, 103374. |
| DOI | 10.1016/j.erss.2023.103374 |
| Licence | CC BY-NC 4.0 |
| Source data | https://doi.org/10.7910/DVN/7FCGPA |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 2,006 |
|---|---|
| Rows (one per respondent, task and profile) | 16,048 |
| Tasks per respondent (most) | 4 |
| Profiles per task | 2 |
| Attributes | 6 |
| Tasks with no profile chosen | 0 |
| Topic | climate energy environment |
|---|---|
| A profile represents | policy |
| Country | US |
| Language shown | en |
| Language of stored levels | en |
| Randomization restrictions | unknown |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| choice | Please read the descriptions of the two programs carefully. Then pick which one you like best and say how much of your profit from solar you would choose to donate under each program. Which program do you prefer? [choice, forced] |
|---|---|
| rating | What percent (from 0 to 100) of your yearly solar profits would you choose to donate under each program? [rating, 0 (0 percent) to 100 (100 percent)] |
attr_additional_tax_creditattr_average_yearly_profitattr_community_participationattr_federal_tax_creditattr_project_typeattr_target_communitychoicecov_agecov_altruismcov_buy_solar_selfcov_duration_seccov_educationcov_employmentcov_gendercov_hispaniccov_homecov_ideologycov_incomecov_party_idcov_racecov_read_additionalcov_read_communitycov_read_creditcov_read_participationcov_read_profitscov_read_typecov_riskcov_ruralcov_statecov_trust_fedcov_trust_generalcov_trust_localcov_trust_poweridprofileratingtask
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.
Licence: CC BY-NC 4.0 — non-commercial use only.
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("gazmararian_2024_net_metering", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("gazmararian_2024_net_metering", source="conj")
@article{Gazmararian_2024, title={Reimagining net metering: A polycentric model for equitable solar adoption in the United States}, volume={108}, ISSN={2214-6296}, url={http://dx.doi.org/10.1016/j.erss.2023.103374}, DOI={10.1016/j.erss.2023.103374}, journal={Energy Research & Social Science}, publisher={Elsevier BV}, author={Gazmararian, Alexander F. and Tingley, Dustin}, year={2024}, month=Feb, pages={103374} }
| 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 |