Link to Facebook PageLink to RSS Feed Link to Twitter

Press Releases

This page contains an archive of the press releases issued by OPHI since the research centre was established in 2007.

Join OPHI Mailing List

Email address:     

Latest

The world’s poorest people don’t always live where you’d expect Poverty measures reported at the national level don’t provide a full picture of where the world’s poorest live. New research from the Oxford Poverty and Human Development Initiative (OPHI), University of Oxford has revealed that nearly 60 per cent of people living in the world’s poorest regions are actually not in the least developed countries. Read more

Second chapter of OPHI book on multidimensional poverty measurement now available The second chapter of OPHI's forthcoming book, 'Multidimensional Poverty Measurement and Analysis', is now available to read online and download as a working paper. Read more

Iraqi Human Development Report presents multidimensional poverty index as tool for youth empowerment Ministry of Planning, Iraq and UNDP, Iraq have launched a report that uses a Multidimensional Poverty Index (MPI) to allow for an in-depth understanding of the nature and severity of deprivation in Iraq. Read more

Measuring Multidimensional Poverty in Latin America: Previous Experience and the Way Forward This paper states the need to design a multidimensional poverty index for the Latin America region (LA-MPI) that can monitor poverty trends in a cross-country comparable way, yet is also relevant to the particular regional context. Read more

Measuring Conjoint Vulnerabilities in Italy: An Asset-Based Approach This paper uses an asset-based approach, focusing on the resources that individuals and households can draw upon to reduce economic vulnerability and strengthen their resilience. Read more

Measuring and Decomposing Inequality among the Multidimensionally Poor Using Ordinal Data: A Counting Approach A paper by Suman Seth and Sabina Alkire proposes the use of a separate decomposable inequality measure using Demographic Health Survey datasets. Read more