crawfurd_2025_aid_projects

8,940 rated or chosen profiles from 754 respondents, in up to 6 tasks of 2 profiles varying on 3 attributes.

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

About this table

DescriptionDiscrete choice experiment in which 754 education policymakers in 35 low- and middle-income countries (CGD survey) chose between two hypothetical aid projects (or neither) over 6 rounds; attributes: project type, technical assistance and budget. Outcome: choice with a 'None of these options' opt-out.
ReferenceCrawfurd, L., Hares, S., Minardi, A., & Sandefur, J. (2025). Understanding education policy preferences: Survey experiments with policymakers in 35 developing countries. World Development, 196, 107140.
DOI10.1016/j.worlddev.2025.107140
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/E0TDA8

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

Respondents754
Rows (one per respondent, task and profile)8,940
Tasks per respondent (most)6
Profiles per task2
Attributes3
Tasks with no profile chosen252

Design

Topicinternational economy, other
A profile representspolicy
Countryunknown
Language shownen, fr
Language of stored levelsen
Randomization restrictionsunknown
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Outcomes:

choiceNow I am going to ask you about some hypothetical aid projects. I am going to describe two aid projects and ask you to choose which one you would prefer. [choice, opt-out allowed]

Columns

attr_budgetattr_projectattr_technical_assistancechoicecov_agencycov_current_empcov_duration_seccov_experiencecov_gendercov_googlelistcov_lang_frenchcov_onlinecov_regioncov_subnationalidprofiletasktrial_preamble

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("crawfurd_2025_aid_projects", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("crawfurd_2025_aid_projects", source="conj")

How to cite

@article{Crawfurd_2025, title={Understanding education policy preferences: Survey experiments with policymakers in 35 developing countries}, volume={196}, ISSN={0305-750X}, url={http://dx.doi.org/10.1016/j.worlddev.2025.107140}, DOI={10.1016/j.worlddev.2025.107140}, journal={World Development}, publisher={Elsevier BV}, author={Crawfurd, Lee and Hares, Susannah and Minardi, Ana and Sandefur, Justin}, year={2025}, month=Dec, pages={107140} }

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