letki_2025_tax_evasion

19,304 rated or chosen profiles from 19,304 respondents, in up to 1 tasks of 1 profile varying on 3 attributes.

About this table

Description19,304 respondents in 14 post-communist countries (PGPE survey, 2013-2014) each saw one version of a vignette about an undeclared cash side income (tax rate, penalty if discovered, and a free consultation desk) and rated how likely they were to not declare the income to the Tax Office (1 very likely to 4 not likely at all).
ReferenceLetki, N. (2025). Public goods through private eyes. Exploring citizens' attitudes to public goods and the state in Central Eastern Europe [Data set]. Dane Badawcze UW.
DOI10.1007/s10551-020-04502-8
LicenceCC BY 4.0
Source datahttps://doi.org/10.58132/sbjiw0

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

Respondents19,304
Rows (one per respondent, task and profile)19,304
Tasks per respondent (most)1
Profiles per task1
Attributes3

Design

Topictax welfare economy, corruption accountability
A profile representsscenario
CountryBG, HR, CZ, EE, HU, LV, LT, MD, PL, RO, RS, SK, SI, UA
Language shownunknown
Language of stored levelsen
Task orderinferred from row order
Profile positioninferred from row order

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

Outcomes:

ratingHow likely it is that you will not declare this income to the Tax Office? (master English questionnaire, card F01) [rating, 1 (Very likely) to 4 (Not likely at all)]

Columns

attr_consultation_deskattr_penalty_if_discoveredattr_tax_ratecov_age_groupcov_birth_yearcov_countrycov_educationcov_survey_weightidprofileratingtask

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("letki_2025_tax_evasion", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("letki_2025_tax_evasion", source="conj")

How to cite

@article{G_recki_2020, title={Social Norms Moderate the Effect of Tax System on Tax Evasion: Evidence from a Large-Scale Survey Experiment}, volume={172}, ISSN={1573-0697}, url={http://dx.doi.org/10.1007/s10551-020-04502-8}, DOI={10.1007/s10551-020-04502-8}, number={4}, journal={Journal of Business Ethics}, publisher={Springer Science and Business Media LLC}, author={Górecki, Maciej A. and Letki, Natalia}, year={2020}, month=Apr, pages={727–746} }

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