multidimensional poverty

A new documentation website for mpitb, the Stata toolbox for multidimensional poverty indices, is now online — with a getting-started guide, comprehensive help files, a workflow manual, and practical how-tos.

This paper explores the link between climate change and the global multidimensional poverty index at the national, subnational and household-level. The analysis draws on grided climate data and focuses on regions in Asia.

At the 50th Simposio de la Asociación Española de Economía, I present an analytical framework for the interlinkage of deprivations, which is empirically illustrated using data of the global Multidimensional Poverty Index (MPI).

The MPI Methodological Notes 61-63 document the 2025 release of the global Multidimensional Poverty Index (MPI), including national level estimates, disaggregations (e.g., by subnational regions) and changes over time.

This paper proposes a framework for the analysis of micro-level dynamics which are inherent to measures of multidimensional poverty. The framework is illustrated using panel data of the European Union Statistics on Income and Living Conditions (EU-SILC) for more than 20 countries over 2016–2020.

At the 10th Annual Conference of the Society for Economic Measurement(SEM), I present an analytical framework for the interlinkage of deprivations, which is empirically illustrated using data of the global Multidimensional Poverty Index (MPI).

At the fourth Catalan Economic Society Congress (CESC), I present a comprehensive sensitivity analysis for the global multidimensional poverty index (MPI). The empirical analysis is embedded into a conceptual discussion for poverty measurement more generally.

At the 2nd Welfare & Policy Conference, I present an analytical framework for the interlinkage of deprivations, which is empirically illustrated using data of the global Multidimensional Poverty Index (MPI).

In this joint webinar IIEP-OPHI webinar, I present an analytical framework for the interlinkage of deprivations, which is empirically illustrated using data of the global Multidimensional Poverty Index (MPI).

This paper describes the database The Global Multidimensional Poverty Index (MPI): Harmonised Level Estimates and their Changes over Time. The database covers estimates for 84 countries and 814 subnational regions for up to four points of observation. Estimates are based on 211 individual survey datasets.