Link to Facebook PageLink to RSS Feed Link to Twitter

OPHI Media Contacts

For press enquiries about OPHI research and activities, please contact:

Director of Communications
Paddy Coulter
Tel +44 (0)1865 271915;
Email: paddy.coulter@qeh.ox.ac.uk

Research Communications Assistant
Moizza Sarwar
Tel +44 (0) 1865 271915;
Email: moizza.sarwar@qeh.ox.ac.uk

Oxford University Press Office
University Offices
Wellington Square
Oxford, OX1 2JD
Tel: +44 (0) 1865 280534

Join OPHI Mailing List

Email address:     

Latest

Nepal and Tajikistan join the Multidimensional Poverty Peer Network (MPPN) The Governments of Nepal and Tajikistan are in the process of exploring the development of a national multidimensional poverty measure. Read more

Review by OPHI researcher highlights need to expand the Indian food security safety net The Indian Public Distribution System (PDS) - a food security safety net - should be expanded to include more multidimensionally poor households, a new paper by OPHI’s Mihika Chatterjee has suggested. Read more

Free webinar on multidimensional poverty analysis: 19 November 2014 Sabina Alkire will be presenting overall results and some highlights of related studies on the Global Multidimensional Poverty Index (MPI). Registration will be required to participate in the webinar. 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