8,896 rated or chosen profiles from 2,206 respondents, in up to 12 tasks of 1 profile varying on 3 attributes.

About this table

Description	Factorial vignette experiment: 2,206 microentrepreneurs in Uganda (2019 survey) each answered about four of 12 randomized mobile money scenarios (transaction type, amount in UGX, fee) with yes/no 'would you make this transaction'; 8,896 answers.
Reference	Hamdan, J. S., Lehmann-Uschner, K., & Menkhoff, L. (2022). Mobile money, financial inclusion, and unmet opportunities: Evidence from Uganda. The Journal of Development Studies, 58(3), 671-691.
DOI	10.1080/00220388.2021.1988078
Licence	CC BY 4.0
Source data	https://doi.org/10.6084/m9.figshare.16912592

Notes

Conjoint table (irw_conjoint_2). Single-vignette accept/reject: "Imagine you want to make [transaction] of [amount] UGX ... You are charged a fee of [x%] ... Would you make this transfer?" (1 = yes, 0 = no; rejecting is the outside option, so opt_out = yes). Attribute text is condensed from the Supplementary Table S2 vignettes; the fee line reads 'interest rate' for saving, though saving and loan vignettes are not stored. Only the authors' analysis sample is in the deposit (transaction types 1-4 with the fee also shown in UGX; 8,896 answers of 2,206 respondents, matching the paper's Table S5), so task indices 1-12 have gaps.

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

Size and shape

Respondents	2,206
Rows (one per respondent, task and profile)	8,896
Tasks per respondent (most)	12
Profiles per task	1
Attributes	3
Tasks with no profile chosen	4,401

Design

Topic	consumer products
A profile represents	product service
Country	UG
Language shown	en, ttj
Language of stored levels	en
Task order	inferred from row order
Profile position	recorded in the deposit

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

Outcomes:

choice	Would you make this transfer? (and analogous: cash withdrawal / payment / saving / loan question) 1 = yes, 0 = no [choice, opt-out allowed]

Columns

attr_amountattr_feeattr_transactionchoicecov_agecov_genderidprofiletasktrial_interview_language

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 needed Browse on Redivisexplore and query Croissant 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("hamdan_2021_mobile_money", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("hamdan_2021_mobile_money", source="conj")

How to cite

@article{Hamdan_2021, title={Mobile Money, Financial Inclusion, and Unmet Opportunities: Evidence from Uganda}, volume={58}, ISSN={1743-9140}, url={http://dx.doi.org/10.1080/00220388.2021.1988078}, DOI={10.1080/00220388.2021.1988078}, number={4}, journal={The Journal of Development Studies}, publisher={Informa UK Limited}, author={Hamdan, Jana S. and Lehmann-Uschner, Katharina and Menkhoff, Lukas}, year={2021}, month=Nov, pages={671–691} }

Version and provenance

IRW version	v584
Redivis dataset	irw_conjoint_2 v1.4
Redivis dataset DOI	10.57761/hk97-wv30
Manifest pin for this IRW version	v1.4
Metadata source	irw_meta v44.0