7,668 rated or chosen profiles from 639 respondents, in up to 6 tasks of 2 profiles varying on 9 attributes.

One of 3 tables from the same source; this one is the private table. The others are listed under Related tables.

About this table

Description	German private-sector employees (respondi online panel; n = 639) each chose which of two hypothetical job applicants to hire into the public service, in 6 pairs described by 9 randomized attributes (school-leaving grade, school education, work experience, English, volunteering, gender, physical disability, age, family origin). Outcome: forced choice.
Reference	Jankowski, M., Prokop, C., & Tepe, M. (2020). Representative bureaucracy and public hiring preferences: Evidence from a conjoint experiment among German municipal civil servants and private sector employees. Journal of Public Administration Research and Theory, 30(4), 596-618.
DOI	10.1093/jopart/muaa012
Licence	CC0 1.0
Source data	https://doi.org/10.7910/DVN/XZJRA2

Notes

Conjoint table (irw_conjoint). choice: "Wenn Sie sich zwischen den beiden Bewerber/innen entscheiden müssten, wen würden Sie in den öffentlichen Dienst einstellen?" (which of two applicants would you hire into the public service), forced choice, no opt-out. Level text is the authors' English labels (German text shown, not deposited for this sample; 'x1 - ' style prefixes on None removed); attribute order not recorded. 639 respondents. Level shares unequal for family origin (Germany ~50%) and disability (yes ~20%); no restriction documented.

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

Design

Topic	labour hiring
A profile represents	person
Country	DE
Language shown	de
Language of stored levels	en
Randomization restrictions	unknown
Task order	recorded in the deposit
Profile position	recorded in the deposit

Outcomes:

choice	Wenn Sie sich zwischen den beiden Bewerber/innen entscheiden müssten, wen würden Sie in den öffentlichen Dienst einstellen? [choice, forced]

Columns

attr_ageattr_disabilityattr_englishattr_experienceattr_genderattr_gradeattr_originattr_schoolattr_volunteeringchoicecov_agecov_areacov_educationcov_gendercov_integration_measurescov_leftrightcov_migration_backgroundcov_perceived_discriminationcov_psm_1cov_psm_2cov_psm_3cov_psm_4cov_psm_5cov_representation_1cov_representation_2cov_representation_3idprofiletask

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 needed Browse on Redivisexplore and query Croissant 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("jankowski_2020_hiring_private", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("jankowski_2020_hiring_private", source="conj")

How to cite

@article{Jankowski_2020, title={Representative Bureaucracy and Public Hiring Preferences: Evidence from a Conjoint Experiment among German Municipal Civil Servants and Private Sector Employees}, volume={30}, ISSN={1477-9803}, url={http://dx.doi.org/10.1093/jopart/muaa012}, DOI={10.1093/jopart/muaa012}, number={4}, journal={Journal of Public Administration Research and Theory}, publisher={Oxford University Press (OUP)}, author={Jankowski, Michael and Prokop, Christine and Tepe, Markus}, year={2020}, month=Apr, pages={596–618} }

Respondents	639
Rows (one per respondent, task and profile)	7,668
Tasks per respondent (most)	6
Profiles per task	2
Attributes	9
Tasks with no profile chosen	0

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

jankowski_2020_hiring_private