murakami_2015_electricity_us

67,232 rated or chosen profiles from 4,202 respondents, in up to 8 tasks of 2 profiles varying on 4 attributes.

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

About this table

DescriptionChoice experiment: 4,202 online respondents in California, Michigan, New York and Texas (2012) chose between two hypothetical electricity services varying in monthly bill, air-emission reduction, nuclear share and renewable share; the same 8 tasks for everyone.
ReferenceMurakami, K., Ida, T., Tanaka, M., & Friedman, L. (2015). Consumers' willingness to pay for renewable and nuclear energy: A comparative analysis between the US and Japan. Energy Economics, 50, 178-189.
DOI10.1016/j.eneco.2015.05.002
LicenceCC BY-NC 3.0
Source datahttps://doi.org/10.17632/8f7g9gkxp4.1

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

Respondents4,202
Rows (one per respondent, task and profile)67,232
Tasks per respondent (most)8
Profiles per task2
Attributes4
Tasks with no profile chosen0

Design

Topicclimate energy environment
A profile representsproduct service
CountryUS
Language shownen
Language of stored levelsen
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Outcomes:

choiceChoose your preferred option from two hypothetical electricity services, Electricity 1 and Electricity 2 (paraphrase of the working paper's description) [choice, forced]

Columns

attr_air_emissionsattr_monthly_billattr_nuclear_shareattr_renewable_sharechoicecov_stateidprofiletask

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

Licence: CC BY-NC 3.0 — non-commercial use only.

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("murakami_2015_electricity_us", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("murakami_2015_electricity_us", source="conj")

How to cite

@article{Murakami_2015, title={Consumers’ willingness to pay for renewable and nuclear energy: A comparative analysis between the US and Japan}, volume={50}, ISSN={0140-9883}, url={http://dx.doi.org/10.1016/j.eneco.2015.05.002}, DOI={10.1016/j.eneco.2015.05.002}, journal={Energy Economics}, publisher={Elsevier BV}, author={Murakami, Kayo and Ida, Takanori and Tanaka, Makoto and Friedman, Lee}, year={2015}, month=July, pages={178–189} }

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