This paper presents a new Multidimensional Poverty Index (MPI) for 104 developing countries. It is the first time multidimensional poverty is estimated using micro datasets (household surveys) for such a large number of countries which cover about 78 percent of the world´s population. The MPI has the mathematical structure of one of the Alkire and Foster poverty multidimensional measures and it is composed of ten indicators corresponding to same three dimensions as the Human Development Index: Education, Health and Standard of Living. The MPI captures a set of direct deprivations that batter a person at the same time. This tool could be used to target the poorest, track the Millennium Development Goals, and design policies that directly address the interlocking deprivations poor people experience. This paper presents the methodology and components in the MPI, describes main results, and shares basic robustness tests. AcknowledgementsWe warmly acknowledge the contribution of many colleagues and co-workers in this project. In particular, we are grateful to our colleagues at the HDRO and UNDP for their substantive engagement at every step.

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This paper presents the Multidimensional Poverty Index (MPI), a measure of acute poverty, understood as a person's inability to meet simultaneously minimum international standards in indicators related to the Millennium Development Goals and to core functionings. It constitutes the first implementation of the direct method to measure poverty for over 100 developing countries. After presenting the MPI, we analyse its scope and robustness, with a focus on the data challenges and methodological issues involved in constructing and estimating it. A range of robustness tests indicate that the MPI offers a reliable framework that can complement global income poverty estimates.Keywords: poverty measurement, multidimensional poverty, capability approach, MDGs, basic needs, developing countries. JEL classification: I3, I32, D63, O1Alkire and Santos Robustness and Scope of the MPI The Oxford Poverty and Human Development Initiative (OPHI) is a research centre within the Oxford Department of International Development, Queen Elizabeth House, at the University of Oxford. Led by Sabina Alkire, OPHI aspires to build and advance a more systematic methodological and economic framework for reducing multidimensional poverty, grounded in people's experiences and values.This publication is copyright, however it may be reproduced without fee for teaching or non-profit purposes, but not for resale. Formal permission is required for all such uses, and will normally be granted immediately. For copying in any other circumstances, or for re-use in other publications, or for translation or adaptation, prior written permission must be obtained from OPHI and may be subject to a fee.

This paper presents the Multidimensional Poverty Index (MPI), a measure of acute poverty, understood as a person's inability to meet simultaneously minimum international standards in indicators related to the Millennium Development Goals and to core functionings. It constitutes the first implementation of the direct method to measure poverty for over 100 developing countries. After presenting the MPI, we analyse its scope and robustness, with a focus on the data challenges and methodological issues involved in constructing and estimating it. A range of robustness tests indicate that the MPI offers a reliable framework that can complement global income poverty estimates.Keywords: poverty measurement, multidimensional poverty, capability approach, MDGs, basic needs, developing countries. JEL classification: I3, I32, D63, O1Alkire and Santos Robustness and Scope of the MPI The Oxford Poverty and Human Development Initiative (OPHI) is a research centre within the Oxford Department of International Development, Queen Elizabeth House, at the University of Oxford. Led by Sabina Alkire, OPHI aspires to build and advance a more systematic methodological and economic framework for reducing multidimensional poverty, grounded in people's experiences and values.This publication is copyright, however it may be reproduced without fee for teaching or non-profit purposes, but not for resale. Formal permission is required for all such uses, and will normally be granted immediately. For copying in any other circumstances, or for re-use in other publications, or for translation or adaptation, prior written permission must be obtained from OPHI and may be subject to a fee.