7,176 rated or chosen profiles from 598 respondents, in up to 6 tasks of 2 profiles varying on 6 attributes.

About this table

Description	Discrete choice experiment: 598 owners of small coastal US businesses (2022 online survey) chose between two hypothetical cyclone insurance packages (policy, provider, coverage, premium, waiting period, deductible) or none; 6 tasks each, choice with opt-out.
Reference	Edobor, E. W., Marshall, M. I., Katare, B., & Valdivia, C. (2024). Insuring for cyclone events: What matters to small business owners? Journal of the Agricultural and Applied Economics Association.
DOI	10.1002/jaa2.146
Licence	CC0 1.0
Source data	https://doi.org/10.4231/SF2E-WK20

Notes

Conjoint table (irw_conjoint_2). Choice between two hypothetical cyclone insurance packages described by policy, provider, coverage, premium, waiting period and deductible, or neither: "Among the following cyclone insurance options, which one do you prefer?"; the fixed "None of them" option has no attributes and is an opt-out (chosen in 538 of 3,588 tasks). Level text is the wording on the codebook's choice cards; fixed blocked design with 6 blocks (trial_block). Six tasks per respondent; the survey's seventh consistency-check task is not in the data.

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	598
Rows (one per respondent, task and profile)	7,176
Tasks per respondent (most)	6
Profiles per task	2
Attributes	6
Tasks with no profile chosen	538

Design

Topic	health covid
A profile represents	product service
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	Among the following cyclone insurance options, which one do you prefer? [choice, opt-out allowed]

Columns

attr_coverageattr_deductibleattr_policyattr_premiumattr_providerattr_waiting_periodchoiceidprofiletasktrial_block

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("edobor_2023_cyclone_insurance", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("edobor_2023_cyclone_insurance", source="conj")

How to cite

@article{Edobor_2024, title={Insuring for cyclone events: What matters to small business owners?}, volume={4}, ISSN={2769-2485}, url={http://dx.doi.org/10.1002/jaa2.146}, DOI={10.1002/jaa2.146}, number={1}, journal={Journal of the Agricultural and Applied Economics Association}, publisher={Wiley}, author={Edobor, Edeoba W. and Marshall, Maria I. and Katare, Bhagyashree and Valdivia, Corinne}, year={2024}, month=Dec, pages={17–37} }

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