30,000 rated or chosen profiles from 1,500 respondents, in up to 10 tasks of 2 profiles varying on 9 attributes.
| Description | French adults (Qualtrics online panel, Dec 2017-Jan 2018; 1,500 respondents) chose which of two hypothetical immigrants should be admitted to live in France, over 10 pairs described by nine attributes shown in French. |
|---|---|
| Reference | Clayton, K., Ferwerda, J., & Horiuchi, Y. (2021). Exposure to immigration and admission preferences: Evidence from France. Political Behavior, 43(1), 175-200. |
| DOI | 10.1007/s11109-019-09550-z |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/2OOLD7 |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 1,500 |
|---|---|
| Rows (one per respondent, task and profile) | 30,000 |
| Tasks per respondent (most) | 10 |
| Profiles per task | 2 |
| Attributes | 9 |
| Tasks with no profile chosen | 0 |
| Topic | immigration asylum |
|---|---|
| A profile represents | person |
| Country | FR |
| Language shown | fr |
| Language of stored levels | fr |
| Randomization restrictions | yes (stated by the source): Professeur/Analyste financier/Chercheur/Medecin/Programmeur only with the top two education levels; Infirmier not with the four lowest; W-European origins (Portugal/Italie/Espagne/Royaume-Uni) never with persecution reason or tourist-visa/unauthorised prior visits; education restrictions failed in soft-launch fielding 1. Level weights: origin Portugal/Italie/Espagne/Royaume-Uni 0.175 each, Algerie/Maroc/Tunisie/Turquie/Chine/Roumanie 0.05 each; other attributes uniform |
| 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 | If you had to choose between the two, which of these two immigrants should be admitted to live in France? (translated) [choice, forced] |
|---|
attr_application_reasonattr_educationattr_genderattr_job_experienceattr_job_plansattr_languageattr_originattr_prior_tripsattr_professionattrpos_application_reasonattrpos_educationattrpos_genderattrpos_job_experienceattrpos_job_plansattrpos_languageattrpos_originattrpos_prior_tripsattrpos_professionchoicecov_age_groupcov_contact_everydaycov_educationcov_fieldingcov_gendercov_immigration_levelcov_incomecov_left_rightcov_meal_foreign_borncov_nationalitycov_party_idcov_public_transportcov_regioncov_school_satisfactioncov_trusted_foreign_borncov_vote_2017cov_voted_2017idprofiletask
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("clayton_2021_france_immigrants", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("clayton_2021_france_immigrants", source="conj")
@article{Clayton_2019, title={Exposure to Immigration and Admission Preferences: Evidence from France}, volume={43}, ISSN={1573-6687}, url={http://dx.doi.org/10.1007/s11109-019-09550-z}, DOI={10.1007/s11109-019-09550-z}, number={1}, journal={Political Behavior}, publisher={Springer Science and Business Media LLC}, author={Clayton, Katherine and Ferwerda, Jeremy and Horiuchi, Yusaku}, year={2019}, month=May, pages={175–200} }
| 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 |