Acute Multidimensional Poverty: A New Index for Developing Countries

By S. Alkire, Maria Emma Santos. 2010

1,426 citations recorded by the source corpus.

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.

Subfields: Nutrition and Dietetics, Safety Research, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/f2b8300d8060917fa19f6ca1eb93b0ce211315ac

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Citations in the corpus

Multidimensional Poverty Reduction in India between 1999 and 2006: Where and How? (2015, methodology): “…we analyse India’s performance in multidimensional poverty between 1999 and 2006 using an adaptation of the Multidimensional Poverty Index (MPI), which is an international index of poverty introduced by Alkire and Santos (2010) in collaboration with the United Nations Development Program (UNDP).”
Thinking Inside the Box: A Closer Look at Financial Inclusion and Household Income (2019, methodology): “In this case, since we only employ three components at each time, we use a 33 per cent cut-off, which adheres more closely to the MPI methodology in Alkire and Santos (2010).”
Poor, or Just Feeling Poor? On Using Subjective Data in Measuring Poverty (2012, neutral): “A recent example is the " Multidimensional Poverty Index " (MPI) of Alkire and Santos (2010).”
Can Extreme Poverty in Sub-Saharan Africa be Eliminated by 2030? (2017, background): “4 Multidimensional index of poverty developed by Alkire and Santos (2010) reveals discrepancies between monetary and multi-factor poverty.”
A Multidimensional Approach: Poverty Measurement & Beyond (2013, neutral): “The MPI uses the M0 measure.”
Disability and Poverty in Developing Countries: A Multidimensional Study (2013, methodology): “…calculation of the multidimensional poverty measures: two indicators for individual economic well-being (education and employment), two for household expenditure (non-health PCE and ratio of health to total expenditures), and six indicators for assets and living condition (Alkire and Santos, 2010).”
Towards better measurement of household food security: Harmonizing indicators and the role of household surveys (2013, neutral): “In the poverty debate, the more prominent expression of the two families of indicators are respectively the global income poverty data published regularly by the World Bank (Chen and Ravallion, 2012) and the Multidimensional Poverty Index (MPI) now included in UNDP’s Human Development Report (Alkire”
The Women's Empowerment in Agriculture Index (2013, neutral): “Based on the Alkire–Foster methodology (Alkire & Foster, 2011 a,b; Alkire & Santos 2010), WEAI is an aggregate index that can be broken down in many ways.”
Transport Policies and Development (2015, background): “Along the same line, Anas and Timilsina (2009) estimate that although new road construction may reduce emissions of existing cars through increased travel speed, it may ultimately increase overall emissions by attracting additional drivers.”