alvarado_2024_tax_fairness_chile

15,236 rated or chosen profiles from 1,584 respondents, in up to 5 tasks of 2 profiles varying on 3 attributes.

One of 4 tables from the same source; this one is the chile table. The others are listed under Related tables.

About this table

DescriptionChilean respondents (Respondi quota sample, February 2020; 1,584 respondents, 1,418 in the author's sample) chose which of two hypothetical individuals should pay a higher tax rate, over 5 pairs varying annual income, share of income paid in sales taxes and source of income (effort, family connections, government bailout, lottery).
ReferenceAlvarado, M. (2024). Compensation and tax fairness: Evidence from four countries. British Journal of Political Science, 54(4), 1023-1042.
DOI10.1017/S0007123423000698
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/A6115X

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

Respondents1,584
Rows (one per respondent, task and profile)15,236
Tasks per respondent (most)5
Profiles per task2
Attributes3
Tasks with no profile chosen0

Design

Topictax welfare economy
A profile representsperson
CountryCL
Language shownes
Language of stored levelses
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Outcomes:

choice¿Cuál de las dos personas preferiría usted que pague una tasa de impuestos más alta? [choice, forced]

Columns

attr_incomeattr_income_sourceattr_sales_taxattrpos_incomeattrpos_income_sourceattrpos_sales_taxchoicecov_in_authors_sampleidprofiletask

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("alvarado_2024_tax_fairness_chile", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("alvarado_2024_tax_fairness_chile", source="conj")

How to cite

@article{Alvarado_2024, title={Compensation and Tax Fairness: Evidence From Four Countries}, volume={54}, ISSN={1469-2112}, url={http://dx.doi.org/10.1017/S0007123423000698}, DOI={10.1017/s0007123423000698}, number={4}, journal={British Journal of Political Science}, publisher={Cambridge University Press (CUP)}, author={Alvarado, Mariana}, year={2024}, month=Mar, pages={1023–1042} }

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