Poverty is inherently multidimensional, encompassing both monetary and non-monetary dimensions. However, these outcomes are often collected in separate surveys, leaving the joint distribution partially unobserved. To improve social poverty comparisons, we propose a new simple method to address this data constraint: assume a fixed value for the missing part of the joint distribution. This approach allows the integration of outcomes collected from different surveys, unlike the mainstream method currently in use. Drawing on household surveys from six developing countries where both dimensions are observed, we show that our method systematically outperforms traditional single-survey measures and “mash-up” measures. Monte Carlo simulations further confirm the robustness of our results across a wide range of data-generating scenarios. Our findings highlight the value of our proposed method for monitoring multidimensional poverty and suggest it may also benefit other social indicators facing similar data limitations.
| Repository name | URI |
|---|---|
| Reproducible Research Repository (World Bank) | https://reproducibility.worldbank.org |
Paper exhibits were reproduced on a computer with the following specifications:
• OS: Windows 11 Enterprise
• Processor: Intel(R) Core(TM) i5-1145G7 CPU @ 2.60GHz
• Memory available: 31 GB
Runtime: 2 hours
To reproduce the findings in this paper, a new user should:
-Starting from intermediate data
The published package is set up to run from intermediate data, included under project/data/in (one file per survey). For details on data sources and compilation, see file data_overview.xlsx.
Set the project directory in the main do-file and run it. This is the method verified by the replicators.
main do-file and the country do-files, and run the main do-file.All data is publicly accessible and included in the reproducibility package.
| Author | Affiliation | |
|---|---|---|
| Benoit Decerf | University of Namur | benoit.decerf@unamur.be |
| Mery Ferrando | Tilburg University | m.ferrando@tilburguniversity.edu |
| Balint Menyhert | Independent researcher currently without affiliation | balint.menyhert@gmail.com |
2026-01-22
| Location | Code |
|---|---|
| World | WLD |
The materials in the reproducibility packages are distributed as they were prepared by the staff of the International Bank for Reconstruction and Development/The World Bank. The findings, interpretations, and conclusions expressed in this event do not necessarily reflect the views of the World Bank, the Executive Directors of the World Bank, or the governments they represent. The World Bank does not guarantee the accuracy of the materials included in the reproducibility package.
| Name | URI |
|---|---|
| Modified BSD3 | https://opensource.org/license/bsd-3-clause/ |
| Name | Affiliation | |
|---|---|---|
| Benoit Decerf | University of Namur | benoit.decerf@unamur.be |
| Reproducibility WBG | World Bank | reproducibility@worldbank.org |
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Reproducibility WBG | DECDI | World Bank - Development Impact Department | Verification and preparation of metadata |
2026-01-22
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