18,348 rated or chosen profiles from 1,529 respondents, in up to 6 tasks of 2 profiles varying on 6 attributes.
| Description | Dutch respondents (quota-representative online sample, n = 1,529) chose between two hypothetical migrants in each of 6 tasks, with randomized reason for migration (persecution, economic, earthquake, drought, flood), country of origin, economic self-sufficiency, education, age and gender. |
|---|---|
| Reference | Faure, M., Kantorowicz, J., & Weiss, A. (2025). Is climate change a valid reason for migration? Evidence from a conjoint experiment. Journal of Elections, Public Opinion and Parties, 36(3), 757-778. |
| DOI | 10.1080/17457289.2025.2514195 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/VFRHWX |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 1,529 |
|---|---|
| Rows (one per respondent, task and profile) | 18,348 |
| Tasks per respondent (most) | 6 |
| Profiles per task | 2 |
| Attributes | 6 |
| Tasks with no profile chosen | 0 |
| Topic | immigration asylum |
|---|---|
| A profile represents | person |
| Country | NL |
| Language shown | nl |
| Language of stored levels | nl |
| Randomization restrictions | observed in the data (not documented by the source): Maldiven never with Vluchten door aardbevingen or Vluchten door extreme droogte; Pakistan and Vietnam never with Vluchten door extreme droogte (no source documents the rule); consequently drought (11%) and earthquake (19%) are rarer than the other reasons (23-24%) and Maldiven (12%) rarer than other countries |
| 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 migrants would you prefer to be admitted? (paraphrase) [choice, forced] |
|---|
attr_economische_situatieattr_geslachtattr_land_van_herkomstattr_leeftijdattr_onderwijsniveauattr_reden_voor_migratiechoicecov_age_groupcov_education_codecov_gendercov_pref_climate_1_1cov_pref_climate_2cov_pref_climate_change_1cov_pref_climate_change_2cov_pref_climate_change_3cov_pref_climate_pol_1cov_pref_climate_pol_2cov_pref_climate_pol_3cov_pref_partycov_pref_political_1cov_provincecov_survey_weightidprofiletask
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.
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("faure_2025_climate_migrants_nl", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("faure_2025_climate_migrants_nl", source="conj")
@article{Faure_2025, title={Is climate change a valid reason for migration? Evidence from a conjoint experiment}, volume={36}, ISSN={1745-7297}, url={http://dx.doi.org/10.1080/17457289.2025.2514195}, DOI={10.1080/17457289.2025.2514195}, number={3}, journal={Journal of Elections, Public Opinion and Parties}, publisher={Informa UK Limited}, author={Faure, Michael and Kantorowicz, Jaroslaw and Weiss, Akiva}, year={2025}, month=June, pages={757–778} }
| 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 |