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The Alkire Foster method in research and policy

Research applications

The Alkire Foster method for multidimensional measurement has been applied by researchers for different purposes and for different countries and regions of the world.

For example, practical applications of the Alkire Foster method are available for poverty in:

OPHI research papers have also applied the Alkire Foster method to additional problems including:

Policy applications

The Alkire Foster method for multidimensional measurement has been used by policymakers in countries around the world to create national measures of poverty and wellbeing. Find out more about national measures of poverty and other policy applications of the Alkire Foster method on our policy pages.

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Latest

IMF podcast: Painting a Better Picture of Poverty Director of OPHI Sabina Alkire is interviewed in the International Monetary Fund's Survey Magazine podcast series. Listen online. Read more

Video: Poverty in El Salvador from the perspective of the protagonists UNDP El Salvador and OPHI have produced a video exploring what poverty means, from the perspective of those who are experiencing it. Read more

OPHI holds annual summer school on multidimensional poverty in Washington, D.C. OPHI’s annual summer school on multidimensional poverty was hosted at Georgetown University, Washington, D.C. from 3-15 August 2015. 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