1,203 rated or chosen profiles from 1,203 respondents, in up to 1 tasks of 1 profile varying on 4 attributes.
| Description | Economically active Colombian adults (Netquest online panel, quota 50/50 formal/informal workers) read one vignette about a Venezuelan migrant whose name/sex, previous occupation, degree recognition (engineers and doctors only) and salary expectations were randomized, then rated immigrants like them on five questions (presence, right to stay, effect on own job chances and salary, likelihood of competing). 1,203 respondents. |
|---|---|
| Reference | Carreras, M. (2026). Informality and attitudes towards immigrants in Latin America [Data set]. Harvard Dataverse. Replication package for Argote, P., & Carreras, M., Informality and attitudes towards immigrants in Latin America (manuscript). |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/MRBYOX |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 1,203 |
|---|---|
| Rows (one per respondent, task and profile) | 1,203 |
| Tasks per respondent (most) | 1 |
| Profiles per task | 1 |
| Attributes | 4 |
| Topic | immigration asylum |
|---|---|
| A profile represents | person |
| Country | CO |
| Language shown | es |
| Language of stored levels | es |
| Randomization restrictions | yes (stated by the source): Degree recognition is shown only when the previous occupation is engineer or doctor (questionnaire programming note); for street vendor and delivery person it is (not shown). Occupation shares are unequal: engineer 401, doctor 398, street vendor 200, delivery person 204 of 1,203 (formal vs informal occupation 50/50); name and salary 50/50; recognition 50/50 within engineer/doctor. |
| Task order | inferred from row order |
| Profile position | inferred from row order |
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. Task order or profile position was rebuilt from row order; analyses of position or task order should leave it out.
Outcomes:
| rating | ¿Qué tan positiva o negativa le parece la presencia de inmigrantes venezolanos como [Juan/María Pérez] en Colombia? [rating, 1 (Muy positiva) to 5 (Muy negativa)] |
|---|---|
| rating_compete | Si se ofreciera una oportunidad laboral, ¿qué tan probable es que usted compita con inmigrantes como [Juan/María Pérez] por ese trabajo? [rating, 1 (Muy probable) to 5 (Muy improbable)] |
| rating_job_chances | ¿Cómo cree que la presencia de inmigrantes como [Juan/María Pérez] afecta sus posibilidades de encontrar trabajo? [rating, 1 (Disminuye mis posibilidades de encontrar trabajo) to 3 (Mejora mis posibilidades de encontrar trabajo)] |
| rating_salary | ¿Cómo cree que la presencia de inmigrantes como [Juan/María Pérez] afecta su salario? [rating, 1 (Reduce mi salario) to 3 (Aumenta mi salario)] |
| rating_stay | ¿Qué tan de acuerdo está con la siguiente afirmación: “[Juan/María Pérez] debería poder quedarse en Colombia”? [rating, 1 (Muy de acuerdo) to 5 (Muy en desacuerdo)] |
attr_degreeattr_nameattr_previous_jobattr_salarycov_agecov_age_groupcov_b1cov_b2cov_b4cov_b5cov_b6cov_b7cov_b8_1cov_b8_2cov_b8_3cov_b8_4cov_c3cov_departmentcov_devicecov_duration_seccov_e1cov_e10_1cov_e10_2cov_e10_3cov_e11cov_e2cov_e3cov_e4_1cov_e4_2cov_e4_3cov_e5cov_e6_1cov_e6_2cov_e6_3cov_e6_4cov_e7cov_e8cov_e9cov_educationcov_g1cov_g2cov_g3cov_g4cov_gendercov_ideologycov_incomecov_inf_socprot_acov_inf_socprot_bcov_inf_socprot_spousecov_nsecov_occupcov_occup_horascov_party_idcov_party_identifiescov_regioncov_sampleidprofileratingrating_competerating_job_chancesrating_salaryrating_staytask
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("argote_2026_informality_immigrants", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("argote_2026_informality_immigrants", source="conj")
@misc{https://doi.org/10.7910/dvn/mrbyox,
doi = {10.7910/DVN/MRBYOX},
url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/MRBYOX},
author = {Carreras, Miguel},
keywords = {Social Sciences},
title = {Informality and Attitudes Towards Immigrants in Latin America},
publisher = {Harvard Dataverse},
year = {2026}
}
| 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 |