ahsanjansson_2026_tax_compliance

2,054 rated or chosen profiles from 2,054 respondents, in up to 1 tasks of 1 profile varying on 8 attributes.

About this table

DescriptionKenyan adults in a telephone survey (TIFA, 2021; n=2,054) each heard one vignette about a taxpayer with 8 randomized binary factors (gender, earnings, access to services, community donations, fairness, transparency, detection, fine) and answered yes/no whether the person should pay tax, whether evasion would be justified and whether they trust government with tax money.
ReferenceAhsan Jansson, C., Lust, E., & Oguso, A. (2026). Community donations, public goods provision and taxpayer attitudes: Lessons from a survey experiment in Kenya. Political Science Research and Methods.
DOI10.1017/psrm.2026.10098
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/POT08T

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

Respondents2,054
Rows (one per respondent, task and profile)2,054
Tasks per respondent (most)1
Profiles per task1
Attributes8

Design

Topictax welfare economy
A profile representsperson
CountryKE
Language shownunknown
Language of stored levelsen
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Outcomes:

rating_justifiableWould it be justified if the person did not report all their income to pay less tax? [rating, 0 (No) to 1 (Yes)]
rating_pay_taxShould the person pay income tax to the government? [rating, 0 (No) to 1 (Yes)]
rating_trust_govWould you trust the government to spend the tax money wisely? [rating, 0 (No) to 1 (Yes)]

Columns

attr_community_donationsattr_detectionattr_earningsattr_fairnessattr_fineattr_genderattr_service_provisionattr_transparencycov_agecov_educationcov_enough_incomecov_ever_employedcov_gendercov_resp_community_goodscov_resp_contributedcov_resp_detectioncov_resp_tax_benefitcov_ruralcov_worksidprofilerating_justifiablerating_pay_taxrating_trust_govtask

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("ahsanjansson_2026_tax_compliance", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("ahsanjansson_2026_tax_compliance", source="conj")

How to cite

@article{Ahsan_Jansson_2026, title={Community donations, public goods provision, and taxpayer attitudes: lessons from a survey experiment in Kenya}, ISSN={2049-8489}, url={http://dx.doi.org/10.1017/psrm.2026.10098}, DOI={10.1017/psrm.2026.10098}, journal={Political Science Research and Methods}, publisher={Cambridge University Press (CUP)}, author={Ahsan Jansson, Cecilia and Lust, Ellen and Oguso, Alex}, year={2026}, month=Apr, pages={1–8} }

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