folke_2022_harassment_job_choice

23,444 rated or chosen profiles from 3,925 respondents, in up to 3 tasks of 2 profiles varying on 4 attributes.

About this table

DescriptionPaired 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).
ReferenceFolke, O., & Rickne, J. (2022). Sexual harassment and gender inequality in the labor market. The Quarterly Journal of Economics, 137(4), 2163-2212.
DOI10.1093/qje/qjac018
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/OHGOEV

Notes

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Size and shape

Respondents3,925
Rows (one per respondent, task and profile)23,444
Tasks per respondent (most)3
Profiles per task2
Attributes4
Tasks with no profile chosen0

Design

Topiclabour hiring
A profile representsproduct service
CountrySE
Language shownsv
Language of stored levelsen
Randomization restrictionsunknown
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Outcomes:

choiceBased on the information in the table, which of the two jobs would you prefer? (translated) [choice, forced]

Columns

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.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant 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("folke_2022_harassment_job_choice", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("folke_2022_harassment_job_choice", source="conj")

How to cite

@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} }

Version and provenance

IRW versionv584
Redivis datasetirw_conjoint v4.2
Redivis dataset DOI10.57761/qkye-q530
Manifest pin for this IRW versionv4.2
Metadata sourceirw_meta v44.0