markgraf_2024_credit_welfare

About this table

Notes

• Conjoint table (irw_conjoint). choice = which of two policy packages the respondent preferred (forced choice; wording not in the deposit). Five three-level attributes (mortgage and credit-card interest rates, social assistance, unemployment insurance, income tax), every level pair present. Profile number is not screen position (the deposit has no position column and its rows are shuffled). N = 1,286 as in the codebook.

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

Size and shape

Design

Task order or profile position was rebuilt from row order; analyses of position or task order should leave it out.

Outcomes:

Columns

attr_credit_card_rateattr_income_taxattr_mortgage_rateattr_social_assistanceattr_unemployment_insurancechoicecov_credit_accesscov_credit_experiencecov_crisis_lossescov_high_unemployment_sectorcov_higher_educationcov_homeownercov_income_groupcov_lr_selfcov_precarious_employmentcov_unemployment_riskcov_welfare_benefitidprofiletask

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

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("markgraf_2024_credit_welfare", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("markgraf_2024_credit_welfare", source="conj")

How to cite

@article{Markgraf_2024, title={Borrowing to Self-Insure? Credit Access and Support for Welfare}, volume={86}, ISSN={1468-2508}, url={http://dx.doi.org/10.1086/726924}, DOI={10.1086/726924}, number={2}, journal={The Journal of Politics}, publisher={University of Chicago Press}, author={Markgraf, Jonas and Rosas, Guillermo}, year={2024}, month=Apr, pages={642–655} }

Version and provenance