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Multidimensional measures in the SDGs

OPHI and the Multidimensional Poverty Peer Network are calling for an integrated measure of multidimensional poverty to be included the post-2015 sustainable development goals (SDGs), to complement income poverty measures and show the interconnected deprivations people experience. Read more. OPHI also draws attention to the Gross National Happiness Index created by the Royal Government of Bhutan, a measure of progress which includes both economic and non-economic aspects of wellbeing. Find out more.

Chile announces national Multidimensional Poverty Index

The Chilean government announced its new national Multidimensional Poverty Index (MPI) on 24 January 2015. The national MPI was announced at the same time as the government released its updated income poverty measure. Chile joins Mexico, Colombia, the Philippines and Bhutan as the fifth government to adopt officially a national MPI. Read more.

OPHI launches Global MPI updates for Winter 2014/2015

mpi2014_infographicsmpi2014_interactiveOPHI released the latest updates of the Global Multidimensional Poverty Index (MPI) on 7 January 2015. In total, the Global MPI now covers 110 countries, which are home to 78 per cent of the world’s population. Of this proportion, 30 per cent of people (1.6 billion) are identified as multidimensionally poor. Download the Winter 2014/2015 MPI highlights briefing on how poverty varies within countries. Further information can be found in our country-specific briefings, interactive databank, detailed Global MPI data tables and infographics.

Read online: First chapters of OPHI book on multidimensional poverty now available

Chapters 1 - 9 of OPHI’s forthcoming book, ‘Multidimensional Poverty Measurement and Analysis’, are now available to download as working papers. The book provides an in-depth account of multidimensional poverty measurement, with a particular focus on the Alkire Foster method.  Further chapters will be made available over the coming weeks, both as working papers and electronically on the book website, alongside a range of study and teaching resources. The book will be published in hardcopy by Oxford University Press in June 2015.

A post-2015 headline indicator of multidimensional poverty

post_2015Poverty is more than a lack of income. A million voices have said so in the A Million Voices: World We Want report. A post-2015 agenda in which the focus in on ending $1.25/day poverty will miss these insights, and is unlikely to mean the end of the many overlapping disadvantages faced by people living in poverty, including malnutrition, poor sanitation, a lack of electricity, or ramshackle schools. That is why OPHI and 25+ governments and institutions in the Multidimensional Poverty Peer Network (MPPN) are calling for an integrated multidimensional poverty measure post-2015 to draw attention to the bundles of deprivations poor people describe – and live.

Special Side-Event at the 69th UN General Assembly

At a high-profile side-event at the 69th UN General Assembly in September 2014, senior leaders from eight governments and institutions called on the UN to adopt a new multidimensional poverty measure to support the eradication of poverty in all its forms in the post-2015 development agenda. Read more and watch a video of the event.

MPPN and OPHI propose post-2015 household survey modules

The Multidimensional Poverty Peer Network (MPPN) and OPHI, which acts as the Network's Secretariat, have launched light but powerful household survey modules, in response to the widely agreed need for a 'data revolution' post-2015. The draft survey modules, which are offered to spark discussion and invite improvement, reflects the technical, cultural, and political insights of MPPN members, and was deemed to be feasible and informative across a wide range of country contexts. It aims to provide large-scale, multi-topic data that are frequent and accurate, gendered and reflect the post-2015 process. We welcome your comments. Find out more.

Multidimensional poverty measurement: Online training

mpi2014_videoOPHI's online training portal provides a thorough conceptual and technical introduction to techniques of measuring multidimensional poverty, with a strong emphasis on the Alkire Foster method. Videos are available for most of the sessions, as well as audio files, lecture slides, exercises and reading lists. Spanish-language materials are also available from an intensive training course on multidimensional poverty analysis run by OPHI in Managua, Nicaragua and hosted by the Universidad Centroamericana. En Español.

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Latest

Now available: Chapter nine of OPHI’s book on Multidimensional Poverty Measurement and Analysis Chapter nine of OPHI's forthcoming book, 'Multidimensional Poverty Measurement and Analysis', is now available to download as a working paper. Read more

Applications invited for OPHI’s annual summer school OPHI is inviting applications for its annual Summer School on Multidimensional Poverty Analysis, which this year will be hosted at Georgetown University in Washington, DC, USA. Read more

Read online: Chapter eight of OPHI book on Multidimensional Poverty Measurement & Analysis available now The eighth chapter of OPHI's forthcoming book, 'Multidimensional Poverty Measurement and Analysis', is now available to download as a working paper. 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