The European Union (EU) has improved living standards, yet welfare disparities persist across regions, countries, and demographic groups. This paper uses data from EU-SILC cross-sectional and longitudinal surveys and the at risk-of-poverty or social exclusion (AROPE) framework to analyze recent temporal trends in absolute multidimensional poverty across EU27 countries and subregions. It also quantifies the extent, composition, and factors associated with higher risks of multidimensional poverty across four EU countries (Bulgaria, Romania, Croatia, and Poland) and extends the AROPE framework to consider other dimensions of deprivations. Finally, it analyzes the extent of multidimensional poverty among the Roma population in Bulgaria and assesses the extent of chronic income poverty and chronic material deprivation among this group. Our analysis reveals that some EU member states present strikingly divergent trends in multidimensional poverty compared to the EU average, as well as different rates of progress across EU subregions. In the analysis of the four EU countries of interest, results indicate that even though monetary poverty risks are comparable across these countries, there exist notable variations in the incidence of non-monetary indicators and the intensity of deprivations. However, the likelihood of being multidimensionally poor is conditioned by similar individual, socio-economic, and familiar characteristics across countries. The Roma population in Bulgaria encounters more concurrent disadvantages compared to the broader population and is significantly more likely to be disproportionately represented among those experiencing chronic poverty and material deprivations. These findings underscore the urgent need for targeted policy interventions that tackle the most pressing needs of disadvantaged populations. Finally, this study proposes a set of potential policy interventions to address structural inequalities and improve the well-being of vulnerable populations.
Repository name | URI |
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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: Processor Intel(R) Xeon(R) Gold 6226R CPU @ 2.90GHz, 2900 Mhz, 4 Core(s), 4 Logical Processor(s)
• Memory available: 32 GB
• Software version: Stata 18 MP
~40 minutes runtime
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Author | Affiliation | |
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Monica Robayo-Abril | World Bank | mrobayo@worldbank.org |
Lucia Echeverria | World Bank and Universidad Nacional de Mar del Plata | lecheverria@worldbank.org |
2024-10
Location | Code |
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Europe | EUE |
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.
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Modified BSD3 | https://opensource.org/license/bsd-3-clause/ |
Name | Affiliation | |
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Monica Robayo-Abril | World Bank | mrobayo@worldbank.org |
Reproducibility WBG | World Bank | reproducibility@worldbank.org |
Name | Abbreviation | Affiliation | Role |
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Reproducibility WBG | DIME | World Bank - Development Impact Department | Verification and preparation of metadata |
2024-10-21
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