28,070 rated or chosen profiles from 2,005 respondents, in up to 7 tasks of 2 profiles varying on 4 attributes.
| Description | US MTurk workers (two waves, 2016 and 2018; n = 2,005, of whom 1,894 form the authors' analysis sample) chose between two hypothetical hospital birth scenarios of a first child in 7 paired tasks, varying the baby's sex, birth weight, season of birth and out-of-pocket cost. |
|---|---|
| Reference | Clarke, D., Oreffice, S., & Quintana-Domeque, C. (2021). On the value of birth weight. Oxford Bulletin of Economics and Statistics, 83(5), 1130-1159. |
| DOI | 10.1111/obes.12429 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/IWINJN |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 2,005 |
|---|---|
| Rows (one per respondent, task and profile) | 28,070 |
| Tasks per respondent (most) | 7 |
| Profiles per task | 2 |
| Attributes | 4 |
| Tasks with no profile chosen | 0 |
| Topic | health covid |
|---|---|
| A profile represents | scenario |
| Country | US |
| Language shown | en |
| Language of stored levels | en |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| choice | Which of these two birth scenarios would you choose? [choice, forced] |
|---|
attr_birth_weightattr_costattr_genderattr_seasonattrpos_birth_weightattrpos_costattrpos_genderattrpos_seasonchoicecov_birth_yearcov_child_birth_yearcov_educationcov_gendercov_main_samplecov_plans_kidscov_pregnantcov_racecov_statecov_survey_minutescov_survey_weightidprofiletasktrial_wave
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("clarke_2021_birth_weight", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("clarke_2021_birth_weight", source="conj")
@article{Clarke_2021, title={On the Value of Birth Weight*}, volume={83}, ISSN={1468-0084}, url={http://dx.doi.org/10.1111/obes.12429}, DOI={10.1111/obes.12429}, number={5}, journal={Oxford Bulletin of Economics and Statistics}, publisher={Wiley}, author={Clarke, Damian and Oreffice, Sonia and Quintana‐Domeque, Climent}, year={2021}, month=Apr, pages={1130–1159} }
| 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 |