ndebele_2019_electricity_switching

8,064 rated or chosen profiles from 224 respondents, in up to 12 tasks of 3 profiles varying on 9 attributes.

About this table

DescriptionChoice experiment in which 224 New Zealand electricity bill payers chose among their current supplier and two hypothetical suppliers (A, B) described by call waiting time, fixed-rate guarantee, prompt-payment discount, loyalty rewards, renewable share, NZ ownership, supplier type and monthly bill. 12 tasks each, forced choice.
ReferenceNdebele, T., Marsh, D., & Scarpa, R. (2019). Consumer switching in retail electricity markets: Is price all that matters? Energy Economics, 83, 88-103.
DOI10.1016/j.eneco.2019.06.012
LicenceCC BY-NC 3.0
Source datahttps://doi.org/10.17632/t58vfsrv5w

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

Respondents224
Rows (one per respondent, task and profile)8,064
Tasks per respondent (most)12
Profiles per task3
Attributes9
Tasks with no profile chosen0

Design

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

Outcomes:

choiceIn the scenarios that follow please only consider the information provided in deciding whether to switch supplier or not. Assume that any information not provided is the same for the three suppliers. Which supplier would you prefer? [choice, forced]

Columns

attr_alternativeattr_call_waiting_timeattr_fixed_rate_guaranteeattr_loyalty_rewardsattr_monthly_billattr_nz_ownershipattr_prompt_payment_discountattr_renewable_shareattr_supplier_typechoicecov_adultscov_agecov_asiancov_children_under18cov_gendercov_household_sizecov_income_nzdcov_maoricov_nz_europeancov_other_ethniccov_owns_residencecov_pacificcov_switched_24midprofiletask

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("ndebele_2019_electricity_switching", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("ndebele_2019_electricity_switching", source="conj")

How to cite

@article{Ndebele_2019, title={Consumer switching in retail electricity markets: Is price all that matters?}, volume={83}, ISSN={0140-9883}, url={http://dx.doi.org/10.1016/j.eneco.2019.06.012}, DOI={10.1016/j.eneco.2019.06.012}, journal={Energy Economics}, publisher={Elsevier BV}, author={Ndebele, Tom and Marsh, Dan and Scarpa, Riccardo}, year={2019}, month=Sept, pages={88–103} }

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