bansak_2021_austerity_spain

39,400 rated or chosen profiles from 1,970 respondents, in up to 10 tasks of 2 profiles varying on 9 attributes.

One of 2 tables from the same source; this one is the spain table. The others are listed under Related tables.

About this table

DescriptionPaired conjoint in which 1,970 adults in Spain (Bilendi online panel, January 2019) chose between and rated 10 pairs of austerity packages combining percentage cuts to five spending areas and increases in three taxes, with a party endorsement on the last five pairs for a random half. Outcomes: forced choice and a 1-10 referendum vote rating; survey weight included.
ReferenceBansak, K., Bechtel, M. M., & Margalit, Y. (2021). Why austerity? The mass politics of a contested policy. American Political Science Review, 115(2), 486-505.
DOI10.1017/S0003055420001136
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/JH5UU8

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

Respondents1,970
Rows (one per respondent, task and profile)39,400
Tasks per respondent (most)10
Profiles per task2
Attributes9
Tasks with no profile chosen0

Design

Topictax welfare economy
A profile representspolicy
CountryES
Language shownes
Language of stored levelses
Randomization restrictionsunknown
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Outcomes:

choiceWhich of the two packages do you prefer? (paraphrase) [choice, forced]
ratingIf you could vote on each of these options in a referendum, how likely is it that you would vote in favor or against each of the options? (translated) [rating, 1 (Vote definitely against) to 10 (Vote definitely in favor)]

Columns

attr_corporate_taxattr_defence_cutattr_education_cutattr_income_taxattr_partyattr_pension_cutattr_public_jobs_cutattr_sales_taxattr_welfare_cutchoicecov_agecov_aust_prefcov_eisced_codecov_empathy1cov_empathy2cov_employedcov_gendercov_gov_competentcov_gov_dorightcov_gov_intcov_gov_redcov_ideo11cov_inc_decilecov_know_infcov_know_pmcov_know_termcov_know_unempcov_layoffcov_mortcov_num_childcov_own_stockscov_party_votecov_public_inccov_public_jobcov_survey_weightcov_union_memcov_votedidprofileratingtasktrial_block_ordertrial_endorsement_arm

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("bansak_2021_austerity_spain", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("bansak_2021_austerity_spain", source="conj")

How to cite

@article{BANSAK_2021, title={Why Austerity? The Mass Politics of a Contested Policy}, volume={115}, ISSN={1537-5943}, url={http://dx.doi.org/10.1017/S0003055420001136}, DOI={10.1017/s0003055420001136}, number={2}, journal={American Political Science Review}, publisher={Cambridge University Press (CUP)}, author={BANSAK, KIRK and BECHTEL, MICHAEL M. and MARGALIT, YOTAM}, year={2021}, month=Feb, pages={486–505} }

Version and provenance

IRW versionv584
Redivis datasetirw_conjoint_2 v1.4
Redivis dataset DOI10.57761/hk97-wv30
Manifest pin for this IRW versionv1.4
Metadata sourceirw_meta v44.0