albers_2026_marine_user_rights

2,664 rated or chosen profiles from 222 respondents, in up to 6 tasks of 2 profiles varying on 5 attributes.

About this table

DescriptionDiscrete choice experiment in Chile's Los Lagos region: 222 marine resource users (181 individual respondents and 41 institutional respondents, flagged) chose between two policy bundles for strengthening marine user rights that differ in AMERB regime, surveillance, distance, transferability and production limits. 6 comparisons each, forced choice.
ReferenceAlbers, H. J., Chavez, C., Dissanayake, S., Dresdner, J., & Rakshit, A. (2026). Supporting and augmenting marine user rights: What do resource users want? Evidence from Chile [Manuscript; replication data and code]. Mendeley Data.
LicenceCC BY 4.0
Source datahttps://doi.org/10.17632/w2x33kmwhc

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

Respondents222
Rows (one per respondent, task and profile)2,664
Tasks per respondent (most)6
Profiles per task2
Attributes5
Tasks with no profile chosen0

Design

Topicclimate energy environment
A profile representspolicy
CountryCL
Language shownes
Language of stored levelses
Randomization restrictionsunknown
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Outcomes:

choiceWhich of the two policy bundles do you choose? (paraphrase of 'Policy bundle chosen'; survey wording not in the deposit) [choice, forced]

Columns

attr_amerbattr_distanceattr_production_limitsattr_surveillanceattr_transferabilitychoicecov_institutionalidprofiletasktrial_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 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("albers_2026_marine_user_rights", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("albers_2026_marine_user_rights", source="conj")

How to cite

@misc{https://doi.org/10.17632/w2x33kmwhc,
  doi = {10.17632/W2X33KMWHC},
  url = {https://data.mendeley.com/datasets/w2x33kmwhc},
  author = {Albers, Heidi J. and Chávez, Carlos and Dissanayake, Sahan and Dresdner, Jorge and Rakshit, Avishek},
  keywords = {Marine Policy, Marine Natural Resource Management, Choice Experiment},
  title = {Supporting and Augmenting Marine User Rights: What Do Resource Users Want? Evidence from Chile},
  publisher = {Mendeley Data},
  year = {2026}
}

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