Other Data
The program reviews dataset, and the data and code behind four publications by IMF Monitor researchers. The reviews dataset downloads from this site. The replication packages, listed newest first, are on Harvard Dataverse.
Program reviews
The dates of IMF Executive Board meetings for 762 IMF programs in 133 countries, 1980–2015: the meeting that approved each program, the meetings that concluded its reviews, and the date proposed for each next review. Programs approved in 1978 and 1979 are included only if they ran into 1980. The Conditionality code uses the dataset to adjust conditions for program interruptions, and the Conditionality codebook describes its variables.
Coverage: 1980–2015; 133 countries Available
- Reviews dataset (IMFMonitor_Reviews.xlsx)Download
Excel (.xlsx) · 230 KB
How to cite
Kentikelenis, A. & Stubbs, T. (2023). A Thousand Cuts: Social Protection in the Age of Austerity. Oxford University Press.
Greening the International Monetary Fund
Data and code for Greening the International Monetary Fund, on climate in IMF lending: the 247 conditions in 21 Resilience and Sustainability Facility arrangements approved from November 2022 to December 2024, and 100 IMF lending arrangements approved in 2020–2024, with each country’s climate vulnerability. A further workbook records how programs treated fossil fuels, renewable energy, carbon pricing, and energy subsidies.
Coverage: 2020–2024 Replication only
- Replication data and code (doi:10.7910/DVN/8BSKWO)Harvard Dataverse
One ZIP file (GREENBOOK_Replication.zip): Excel workbooks, a Stata dataset, Stata code, and figures · 2.0 MB
How to cite
Kentikelenis, A. & Stubbs, T. (2025). Greening the International Monetary Fund. Cambridge University Press. https://doi.org/10.1017/9781009697491
Tax advice
Data and code for an article on the IMF’s tax advice: 1,049 tax reform proposals to 125 countries in IMF Article IV reports, 2022–2024. Each proposal is quoted with its rationale and classified by type of tax and by whether it is progressive or regressive.
Coverage: 2022–2024; 125 countries Replication only
- Replication data and code (doi:10.7910/DVN/GNYXU1)Harvard Dataverse
Five files: Excel and Stata data, Stata and R code, and World Bank country boundaries
How to cite
Kentikelenis, A. & Stubbs, T. (2025). Progressive rhetoric, regressive reality: The IMF’s tax advice to 125 countries, 2022–2024. Global Policy, 16(4), 731–738. https://doi.org/10.1111/1758-5899.70052
A Thousand Cuts
Data and code for A Thousand Cuts, the book that the Conditionality codebook asks users to cite: a country-year dataset for 1980–2019 with its codebook, and the Stata code, tables, and figures for the book’s chapters.
Coverage: 1980–2019 Replication only
- Replication data and code (doi:10.7910/DVN/DPV99L)Harvard Dataverse
60 files: Stata datasets and code, Excel tables and codebook, figures, and map files
How to cite
Kentikelenis, A. & Stubbs, T. (2023). A Thousand Cuts: Social Protection in the Age of Austerity. Oxford University Press. https://doi.org/10.1093/oso/9780190637736.001.0001
More replication data
Replication data and code for further publications using IMF Monitor data are in the IMF Monitor collection on Harvard Dataverse.
Social spending floors
Data and code for an article on social spending in IMF lending: the social spending floors and budget balance targets in 27 Extended Credit Facility and Extended Fund Facility loans approved in 2020–2022. They give each floor’s definition, the quarterly targets and outcomes reported in the loan documents and reviews up to 31 August 2023, and projected government spending.
Coverage: Loans approved in 2020–2022; 27 countries Replication only
SSF_Data.xlsx holds the floors, targets, and outcomes. The Stata dataset (325 MB) holds the country-year fiscal and debt data the code uses.
Four files: Excel and Stata data, Stata code, and the article’s tables in Excel
How to cite
Kentikelenis, A. & Stubbs, T. (2024). Social protection and the International Monetary Fund: Promise versus performance. Globalization and Health, 20, 41. https://doi.org/10.1186/s12992-024-01045-9