23,444 rated or chosen profiles from 3,925 respondents, in up to 3 tasks of 2 profiles varying on 4 attributes.
| Description | Paired job-choice conjoint on sexual harassment: 3,925 employed Swedes (Swedish Citizen Panel, January 2020) chose between two job offers in 3 tasks varying wage, skill development, schedule flexibility and work environment (including three sexual-harassment vignettes whose victim sex depended on the respondent's workplace sex composition). |
|---|---|
| Reference | Folke, O., & Rickne, J. (2022). Sexual harassment and gender inequality in the labor market. The Quarterly Journal of Economics, 137(4), 2163-2212. |
| DOI | 10.1093/qje/qjac018 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/OHGOEV |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 3,925 |
|---|---|
| Rows (one per respondent, task and profile) | 23,444 |
| Tasks per respondent (most) | 3 |
| Profiles per task | 2 |
| Attributes | 4 |
| Tasks with no profile chosen | 0 |
| Topic | labour hiring |
|---|---|
| A profile represents | product service |
| Country | SE |
| Language shown | sv |
| Language of stored levels | en |
| Randomization restrictions | unknown |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| choice | Based on the information in the table, which of the two jobs would you prefer? (translated) [choice, forced] |
|---|
attr_flexibilityattr_tasksattr_wageattr_work_environmentchoicecov_age_group_codecov_aware_harassment_cases_q76cov_education_codecov_gendercov_harassment_in_industry_q74cov_importance_flextimecov_importance_no_harassmentcov_importance_skillscov_importance_wagecov_income_codecov_own_risk_q78cov_ssyk2cov_typical_workplace_sex_q40cov_workplace_sex_q38idprofiletasktrial_devicetrial_job_set
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("folke_2022_harassment_job_choice", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("folke_2022_harassment_job_choice", source="conj")
@article{Folke_2022, title={Sexual Harassment and Gender Inequality in the Labor Market}, volume={137}, ISSN={1531-4650}, url={http://dx.doi.org/10.1093/qje/qjac018}, DOI={10.1093/qje/qjac018}, number={4}, journal={The Quarterly Journal of Economics}, publisher={Oxford University Press (OUP)}, author={Folke, Olle and Rickne, Johanna}, year={2022}, month=May, pages={2163–2212} }
| 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 |