5,286 rated or chosen profiles from 2,643 respondents, in up to 1 tasks of 2 profiles varying on 8 attributes.
| Description | YouGov respondents in Kenya, Argentina and Pakistan (April 2023, n = 2,643) rated two hypothetical IMF loans whose eight conditions (foreign investment, import taxes, debt, corruption, anti-poverty, privatization, climate, gender equality) were each Yes/No; outcomes are support for the loan and willingness to pay more taxes or endure spending cuts (1-6). |
|---|---|
| Reference | Heinzel, M., Kern, A., Metinsoy, S., & Reinsberg, B. (2025). Public support for green, inclusive, and resilient growth conditionality in International Monetary Fund bailouts. International Studies Quarterly, 69(2), sqaf018. |
| DOI | 10.1093/isq/sqaf018 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/6WGMNJ |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 2,643 |
|---|---|
| Rows (one per respondent, task and profile) | 5,286 |
| Tasks per respondent (most) | 1 |
| Profiles per task | 2 |
| Attributes | 8 |
| Topic | international economy |
|---|---|
| A profile represents | policy |
| Country | KE, AR, PK |
| Language shown | en, es |
| Language of stored levels | en |
| Randomization restrictions | unknown |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| rating_cuts | Willingness to endure spending cuts if your country took the loan (paraphrase) [rating, 1 (Strongly unwilling) to 6 (Strongly willing)] |
|---|---|
| rating_support | Support for taking the loan, on a scale from 1 (strongly oppose) to 6 (strongly support) (paraphrase) [rating, 1 (Strongly oppose) to 6 (Strongly support)] |
| rating_taxes | Please indicate on a scale from 1 (strongly unwilling) to 6 (strongly willing) [whether you would pay more taxes if your country took Loan A/B] (paraphrase) [rating, 1 (Strongly unwilling) to 6 (Strongly willing)] |
attr_anti_povertyattr_fight_climate_changeattr_fight_corruptionattr_gender_equalityattr_open_foreign_investorsattr_privatize_soesattr_reduce_debtattr_remove_import_taxescov_age_groupcov_countrycov_duration_seccov_educationcov_gendercov_left_rightcov_regioncov_survey_weightidprofilerating_cutsrating_supportrating_taxestask
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.
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("heinzel_2025_imf_conditionality", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("heinzel_2025_imf_conditionality", source="conj")
@article{Heinzel_2025, title={Public Support for Green, Inclusive, and Resilient Growth Conditionality in International Monetary Fund Bailouts}, volume={69}, ISSN={1468-2478}, url={http://dx.doi.org/10.1093/isq/sqaf018}, DOI={10.1093/isq/sqaf018}, number={2}, journal={International Studies Quarterly}, publisher={Oxford University Press (OUP)}, author={Heinzel, Mirko and Kern, Andreas and Metinsoy, Saliha and Reinsberg, Bernhard}, year={2025}, month=Mar }
| IRW version | v584 |
|---|---|
| Redivis dataset | irw_conjoint v4.2 |
| Redivis dataset DOI | 10.57761/qkye-q530 |
| Manifest pin for this IRW version | v4.2 |
| Metadata source | irw_meta v44.0 |