30,954 rated or chosen profiles from 2,211 respondents, in up to 7 tasks of 2 profiles varying on 4 attributes.
| Description | Paired conjoint: 2,211 German adults (TGM panel, December 2024) made 7 choices between refugee-policy packages varying admission policy (third-country transfer and resettlement), refugee selection criteria, partner-country conditions and welfare access, and rated each package 1-7; respondents had first been assigned one of three framing primes. |
|---|---|
| Reference | Hillenbrand, T. (2025). Reforms welcome? Evidence on the nature of asylum backlash and orderly admissions as a remedy (UNU-MERIT Working Paper 2025-026). UNU-MERIT. |
| DOI | 10.53330/PZPD3802 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.34894/YDL4EZ |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 2,211 |
|---|---|
| Rows (one per respondent, task and profile) | 30,954 |
| Tasks per respondent (most) | 7 |
| Profiles per task | 2 |
| Attributes | 4 |
| Tasks with no profile chosen | 0 |
| Topic | immigration asylum |
|---|---|
| A profile represents | policy |
| Country | DE |
| Language shown | de |
| Language of stored levels | en |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| choice | If you had to choose a policy mix for Germany, which of the two options would you prefer? (translated) [choice, forced] |
|---|---|
| rating | And how would you rate the two options? (translated) [rating, 1 (very negative) to 7 (very positive)] |
attr_admissionattr_cooperationattr_selectionattr_welfareattrpos_admissionattrpos_cooperationattrpos_selectionattrpos_welfarechoicecov_agecov_attention_passcov_eastcov_gender_codecov_incomecov_migration_backgroundcov_party_preferencecov_statecov_unemployedcov_university_educidprofileratingtasktrial_prime
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("hillenbrand_2025_asylum_reform", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("hillenbrand_2025_asylum_reform", source="conj")
@book{Hillenbrand_2025, title={Reforms welcome? Evidence on the nature of asylum backlash and orderly admissions as a remedy}, url={http://dx.doi.org/10.53330/PZPD3802}, DOI={10.53330/pzpd3802}, institution={UNU-MERIT}, author={Hillenbrand, Tobias}, year={2025}, month=Nov }
| 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 |