21,260 rated or chosen profiles from 1,063 respondents, in up to 10 tasks of 2 profiles varying on 7 attributes.

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

About this table

Description	Randomized time-restriction experiment, health-insurance DCE: 1,063 adults in Shenzhen (532 with a time limit, 531 without) chose between two health-insurance plans (premium, inpatient and outpatient deductibles, reimbursement rates and caps) or neither, in 10 tasks.
Reference	Jiang, Y. (2025). Decision time both influences and reflects willingness to pay for health-related risk reduction [Data set]. Mendeley Data.
Licence	CC BY 4.0
Source data	https://doi.org/10.17632/9hdcpnrbcc.1

Notes

Conjoint table (irw_conjoint_2). Choice between two health-insurance plans or neither (opt-out, 1,193 of 10,630 tasks; the none option has no attributes) in 10 tasks; attributes premium, inpatient/outpatient deductible, inpatient/outpatient reimbursement rate and inpatient/outpatient cap. LABELS: the deposit stores bare numbers and no article or codebook gives units (currency, period, cap unit), so attr_ cells are the stored numbers as text. Respondents were randomized to a time-restricted or unrestricted version of the DCE (trial_time_restricted); the same 1,063 people also answered the other DCE (ids are shared between the two tables).

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

Size and shape

Respondents	1,063
Rows (one per respondent, task and profile)	21,260
Tasks per respondent (most)	10
Profiles per task	2
Attributes	7
Tasks with no profile chosen	1,193

Design

Topic	health covid
A profile represents	product service
Country	CN
Language shown	zh
Language of stored levels	en
Randomization restrictions	unknown
Task order	recorded in the deposit
Profile position	recorded in the deposit

Outcomes:

choice	Choose between insurance plan 1, plan 2 or neither (paraphrase; exact wording not in the deposit) [choice, opt-out allowed]

Columns

attr_inpatient_capattr_inpatient_deductibleattr_inpatient_reimbursement_rateattr_outpatient_capattr_outpatient_deductibleattr_outpatient_reimbursement_rateattr_premiumchoicecov_agecov_college_and_abovecov_gendercov_has_childcov_has_chronic_diseasecov_marriedidprofiletasktrial_time_restricted

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("jiang_2025_time_insurance", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("jiang_2025_time_insurance", source="conj")

How to cite

@misc{https://doi.org/10.17632/9hdcpnrbcc.1,
  doi = {10.17632/9HDCPNRBCC.1},
  url = {https://data.mendeley.com/datasets/9hdcpnrbcc/1},
  author = {Jiang, Yawen},
  keywords = {Health Economics},
  title = {Decision time both influences and reflects willingness to pay for health-related risk reduction},
  publisher = {Mendeley Data},
  year = {2025}
}

Version and provenance

IRW version	v584
Redivis dataset	irw_conjoint_2 v1.4
Redivis dataset DOI	10.57761/hk97-wv30
Manifest pin for this IRW version	v1.4
Metadata source	irw_meta v44.0