Tag Archives: poverty measurement

Two OPHI publications in top 10 reads for 2010

22nd December, by Institute of Development Studies (IDS) Staff, Development Horizons by Lawrence Haddad

Sabina Alkire and Emma Maria Santos “Acute Multidimensional Poverty: A New Index for Developing Countries,” OPHI Working Paper 38, is described by Keetie Roelen as ‘mindboggling’. Martin Greeley in turn lists Sabina Alkire’s OPHI Working Paper 36 “Human Development: Definitions, Critiques, and Related Concepts” (Development Research Paper 2010/01) as one of the top reads for the year. Read more

Good ideas for bad times

1st December 2010, by Charles Kenny, New America Foundation

In what sometimes looked like the worst of times, it was actually the best of times for ideas — and these ideas will shape how the world recovers in the years to come. This year produced a serious contender, the Multidimensional Poverty Index developed by Sabina Alkire, Maria Emma Santos, and James Foster for the UNDP. Read more

Measuring Multidimensional Poverty in India: A New Proposal

This paper focuses on the methodology by which India’s 2002 Below the Poverty Line (BPL) census data identify the poor and construct a BPL headcount. Using the BPL 2002 methodology it identifies which rural families would have been considered BPL if NFHS (National Family Health Survey) data had been used rather than BPL census data. It compares these to poor families that would be identified using the same variables with the Alkire and Foster multidimensional poverty methodology. It finds that up to 12 per cent of the poor sample population and 33 per cent of the extreme poor could be misclassified as non-poor by the pseudo-BPL method. The paper also develops a sample Index of Deprivation that responds to criticisms regarding BPL data. We compare these results with income poverty and with pseudo-BPL status for sample respondents and disaggregate the index by state and break it down by dimension.

Citation: Alkire, S. and Seth, S. (2008). “Measuring Multidimensional Poverty in India: A New Proposal.” OPHI Working Paper 15, University of Oxford.

Counting and Multidimensional Poverty Measurement (Short Version)

This paper proposes a new methodology for multidimensional poverty measurement consisting of an identification method ρk that extends traditional approaches, and a class of poverty measures Ma that satisfies several desirable properties including decomposability. Our identification step employs two forms of cutoff: one within each dimension and a second across dimensions that identifies the poor by counting their deprivations. We aggregate using Foster-Greer-Thorbecke measures adjusted for multidimensionality. Our adjusted headcount ratio is well suited for use with ordinal data. Examples from Indonesia and the US illustrate our methodology.

Citation: Alkire, S. & Foster, J. (revised in 2009) Counting and multidimensional poverty measurement (short version). OPHI Working Paper 7.5, University of Oxford.

Counting and Multidimensional Poverty Measurement

This paper proposes a new methodology for multidimensional poverty measurement consisting of an identification method ρκ that extends traditional approaches, and a class of poverty measures Mα that satisfies several desirable properties including decomposability. Our identification step employs two forms of cutoff: one within each dimension and a second across dimensions that identifies the poor by counting their deprivations. We aggregate using Foster-Greer-Thorbecke measures adjusted for multidimensionality. Our adjusted headcount ratio is well suited for use with ordinal data. Examples from Indonesia and the US illustrate our methodology.

Citation: Alkire, S. & Foster, J. (2007, revised in 2008). Counting and multidimensional poverty measurement. OPHI Working Paper 7, University of Oxford.