27,304 rated or chosen profiles from 3,413 respondents, in up to 4 tasks of 2 profiles varying on 6 attributes.

About this table

Description	3,413 members of the Swiss Environmental Panel (wave 8, 2022), each randomly assigned a smartphone, TV or washing machine, chose which of two products to buy in 4 rounds; products varied price, functional duration, environmental production impact, energy-efficiency class, recyclability and repairability.
Reference	Brügge, C. (2024). Replication data: Circular products resonate well with diverse consumers. Evidence from a choice experiment in Switzerland [Data set]. Harvard Dataverse.
Licence	CC0 1.0
Source data	https://doi.org/10.7910/DVN/YKVLTR

Notes

Conjoint table (irw_conjoint). Outcome: choice of which of two products to buy (wording not deposited; paraphrase), exactly one per round, no opt-out. Each respondent saw one randomly assigned product type (trial_product_type), and price and functional-duration levels are specific to that product. Level text is the authors' English recode of German labels. The authors' survey weight and attribute-order variables are not deposited; respondents with any missing conjoint answer were dropped before deposit.

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Design

Topic	consumer products
A profile represents	product service
Country	CH
Language shown	unknown
Language of stored levels	en
Randomization restrictions	yes (stated by the source): Price (4 levels) and functional duration (3 levels) take product-specific values: smartphone 180/550/920/1300 CHF and 2/4/8 years; TV 250/850/1900/3100 CHF and 2/8/15 years; washing machine 470/890/1650/3200 CHF and 5/10/15 years. Product type is randomized between respondents, so these levels occur only within their product arm (condition on trial_product_type).
Task order	recorded in the deposit
Profile position	recorded 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:

choice	Which of these two products would you buy? (paraphrase) [choice, forced]

Columns

attr_energy_efficiencyattr_env_production_impactattr_functional_durationattr_priceattr_recyclabilityattr_repairabilitychoicecov_agecov_educationcov_gendercov_household_incomecov_left_rightidprofiletasktrial_product_type

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 needed Browse on Redivisexplore and query Croissant 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("brugge_2024_circular_products", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("brugge_2024_circular_products", source="conj")

How to cite

@misc{https://doi.org/10.7910/dvn/ykvltr,
  doi = {10.7910/DVN/YKVLTR},
  url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/YKVLTR},
  author = {Brügge, Clara},
  keywords = {Social Sciences},
  title = {Replication Data: Circular products resonate well with diverse consumers. Evidence from a Choice Experiment in Switzerland},
  publisher = {Harvard Dataverse},
  year = {2024}
}

Respondents	3,413
Rows (one per respondent, task and profile)	27,304
Tasks per respondent (most)	4
Profiles per task	2
Attributes	6
Tasks with no profile chosen	0

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

brugge_2024_circular_products