multidimensional poverty

In my talk ‘The many forms of poverty: Analyses of deprivation interlinkages in the developing world’ at this conference I present preliminary findings of a current research project on the interlinkage of deprivations. The analysis uses data of the global Multidimensional Poverty Index (MPI).

At this conference I present updated findings of a current research project on the interlinkage of deprivations. The analysis uses data of the global Multidimensional Poverty Index (MPI).

At this ifo conference I present preliminary findings of a current research project on the interlinkage of deprivations. The analysis uses data of the global Multidimensional Poverty Index (MPI).

This paper presents mpitb a toolbox for multidimensional poverty indices (MPI). The Stata package mpitb comprises several subcommands to facilitate specification, estimation, and analyses of MPIs. The toolbox offers several benefits to researchers, analysts and practitioners working on MPIs.

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.

This paper proposes a framework for modelling projections of multidimensional poverty, which is illustrated for 75 countries using the global Multidimensional Poverty Index (MPI). We also discuss implications relevant for other bounded non-monetary development indicator.

The MPI Methodological Notes 55-57 document the 2023 release of the global Multidimensional Poverty Index (MPI), including national level estimates, disaggregations (e.g., by subnational regions) and changes over time.

At this meeting of the Society for the Study of Economic Inequality (ECINEQ), I present preliminary findings of a current research project on the interlinkage of deprivations. The analysis uses data of the global Multidimensional Poverty Index (MPI).

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 Catalan Economic Society Conference (CESC) I present preliminary findings of a current research project on the interlinkage of deprivations. The analysis uses data of the global Multidimensional Poverty Index (MPI).