5,977 rated or chosen profiles from 1,498 respondents, in up to 4 tasks of 1 profile varying on 5 attributes.
One of 2 tables from the same source; this one is the japan table. The others are listed under Related tables.
| Description | Japanese adults (Rakuten Insight, June 2023) saw 4 single hypothetical work-visa applicants varying age, gender, job (8 occupations crossing skill and labour demand), country of origin (Peru, China, Korea, Vietnam) and long/short-term visa, and said whether each should receive a work visa. 1,498 respondents; yes/no choice. |
|---|---|
| Reference | Kawakami, R., Scotto, T. J., Dorussen, H., Pickering, S., Reifler, J., Sunahara, Y., Tago, A., & Yen, D. (2026). Who gets in? A conjoint analysis of labour market demand and immigration preferences in England and Japan. Journal of Ethnic and Migration Studies, 52(1), 65-84. |
| DOI | 10.1080/1369183X.2025.2545432 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.7910/DVN/2GMCMX |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 1,498 |
|---|---|
| Rows (one per respondent, task and profile) | 5,977 |
| Tasks per respondent (most) | 4 |
| Profiles per task | 1 |
| Attributes | 5 |
| Tasks with no profile chosen | 2,051 |
| Topic | immigration asylum |
|---|---|
| A profile represents | person |
| Country | JP |
| Language shown | ja |
| Language of stored levels | en |
| Randomization restrictions | unknown |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| choice | この申請者は日本に来るための就労ビザを発給されるべきでしょうか？ [choice, opt-out allowed] |
|---|
attr_ageattr_countryattr_genderattr_jobattr_visa_termchoicecov_agecov_education_codecov_gendercov_ideologycov_income_codeidprofiletask
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("kawakami_2026_visa_japan", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("kawakami_2026_visa_japan", source="conj")
@article{Kawakami_2025, title={Who gets in? a conjoint analysis of labour market demand and immigration preferences in England and Japan}, volume={52}, ISSN={1469-9451}, url={http://dx.doi.org/10.1080/1369183X.2025.2545432}, DOI={10.1080/1369183x.2025.2545432}, number={1}, journal={Journal of Ethnic and Migration Studies}, publisher={Informa UK Limited}, author={Kawakami, Riku and Scotto, Thomas J. and Dorussen, Han and Pickering, Steve and Reifler, Jason and Sunahara, Yosuke and Tago, Atsushi and Yen, Dorothy}, year={2025}, month=Sept, pages={65–84} }
| 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 |