15,890 rated or chosen profiles from 1,589 respondents, in up to 5 tasks of 2 profiles varying on 8 attributes.

About this table

Description	Recent immigrants to Switzerland (Migration-Mobility Survey 2020 follow-up, Qualtrics, Oct 2020-Feb 2021; 1,589 respondents) chose where to live between two hypothetical municipalities in five pairs varying public transport, nature, living costs, SVP vote share, naturalization residence requirement, co-ethnic network, non-citizen voting rights and leisure infrastructure, and rated each municipality 0-10.
Reference	Bennour, S., Manatschal, A., & Ruedin, D. (2022). How political reception contexts shape location decisions of immigrants. Journal of Ethnic and Migration Studies.
DOI	10.1080/1369183X.2022.2098468
Licence	CC BY 4.0
Source data	https://doi.org/10.5281/zenodo.6965553

Notes

Conjoint table (irw_conjoint). choice = 'In which municipality would you prefer to live?' (I pick municipality A/B), forced, no opt-out; rating = 'How likely is it that you would choose to live in Municipality A [B]?' 0-10, 10 = best. Eight binary attributes in a fixed grid. Fielded in English, German, French, Italian, Spanish and Portuguese; English level text stored, language in cov_language. Finished respondents only: 1,589 (codebook 1,596).

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	1,589
Rows (one per respondent, task and profile)	15,890
Tasks per respondent (most)	5
Profiles per task	2
Attributes	8
Tasks with no profile chosen	0

Design

Topic	immigration asylum, housing neighbourhoods
A profile represents	place
Country	CH
Language shown	en, de, fr, it, es, pt
Language of stored levels	en
Randomization restrictions	unknown
Task order	recorded in the deposit
Profile position	recorded in the deposit

Outcomes:

choice	In which municipality would you prefer to live? [choice, forced]
rating	How likely is it that you would choose to live in Municipality A [B]? [rating, 0 (worst evaluation) to 10 (best evaluation)]

Columns

attr_attitudesattr_coethnicattr_costattr_infrastructureattr_naturalizationattr_natureattr_transportattr_votingchoicecov_agecov_duration_seccov_gendercov_languageidprofileratingtask

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("bennour_2022_location_decision", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("bennour_2022_location_decision", source="conj")

How to cite

@article{Bennour_2022, title={How political reception contexts shape location decisions of immigrants}, volume={48}, ISSN={1469-9451}, url={http://dx.doi.org/10.1080/1369183X.2022.2098468}, DOI={10.1080/1369183x.2022.2098468}, number={19}, journal={Journal of Ethnic and Migration Studies}, publisher={Informa UK Limited}, author={Bennour, Salomon and Manatschal, Anita and Ruedin, Didier}, year={2022}, month=July, pages={4730–4753} }

Version and provenance

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