Multidimensional Poverty Index

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The Global Multidimensional Poverty Index (MPI) was developed in 2010 by the Oxford Poverty & Human Development Initiative (OPHI) and the United Nations Development Programme. and uses different factors to determine poverty beyond income-based lists. It replaced the previous Human Poverty Index. The global MPI is released annually by OPHI and the results published on its website.

The global Multidimensional Poverty Index (MPI) is an international measure of acute poverty covering over 100 developing countries. It complements traditional income-based poverty measures by capturing the severe deprivations that each person faces at the same time with respect to education, health and living standards. The MPI assesses poverty at the individual level. If someone is deprived in a third or more of ten (weighted) indicators, the global index identifies them as 'MPI poor', and the extent - or intensity - of their poverty is measured by the number of deprivations they are experiencing. The MPI can be used to create a comprehensive picture of people living in poverty, and permits comparisons both across countries, regions and the world and within countries by ethnic group, urban/rural location, as well as other key household and community characteristics.

These characteristic make the MPI useful as an analytical tool to identify the most vulnerable people - the poorest among the poor, revealing poverty patterns within countries and over time, enabling policy makers to target resources and design policies more effectively.

Video Multidimensional Poverty Index

Indicators

The index uses the same three dimensions as the Human Development Index: health, education, and standard of living. These are measured using ten indicators.

Each dimension and each indicator within a dimension is equally weighted.

Maps Multidimensional Poverty Index

Calculation of the index

Formula

The MPI is calculated as follows:

${\displaystyle MPI=H\times A}$

H: Percentage of people who are MPI poor (incidence of poverty)
A: Average intensity of MPI poverty across the poor (%)

Indicators used

The following ten indicators are used to calculate the MPI:

• Education (each indicator is weighted equally at 1/6)

• Health (each indicator is weighted equally at 1/6)

• Standard of Living (each indicator is weighted equally at 1/18)

A person is considered poor if they are deprived in at least a third of the weighted indicators. The intensity of poverty denotes the proportion of indicators in which they are deprived.

Fictional example

Country X consists of persons A, B and C. The following table shows the deprivation on each of the 10 indicators for persons A, B and C.

"0%" indicates no deprivation in that indicator, while "100%" indicates deprivation in that indicator.

Factor H for country X is:

${\displaystyle {\frac {1+1+0}{3}}=0.667}$

Factor A for country X is:

${\displaystyle {\frac {33.33\%+50.00\%}{2}}=0.417}$

Thus, the MPI for country X is:

${\displaystyle 0.667\times 0.417=0.278}$

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Evaluation of MPI as a poverty Indicator

The MPI constitutes a sincere effort towards expansion as well as simplification of poverty estimation.

Comparison with HDI

HDI, the Human Development Index, was developed by Mahbub ul Haq and Amartya Sen, in 1990, and was also developed by the UNDP. It is calculated as the geometric mean of the normalized indices of the three dimensions of human development it takes into account: health, education and standard of living. The UNDP is trying to improve on the HDI formula by introducing the IHDI (Inequality affected HDI).

While both HDI and MPI use the 3 broad dimensions health, education and standard of living, HDI uses only single indicators for each dimension of poverty while MPI uses more than one indicator for each one. This, amongst other reasons, has led to the MPI only being calculated for just over 100 countries, where data is available for all these diverse indicators, while HDI is calculated for almost all countries.

However, though HDI is thus more universally applicable, its relative sparsity of indicators also makes it more susceptible to bias. Indeed, some studies have found it to be somewhat biased towards GDP per capita, as demonstrated by a high correlation between HDI and the log of GDPpc. Hence, HDI has been criticized for ignoring other development parameters.

Comparison with other indicators

Both HDI and MPI have been criticized by economists such as Ratan Lal Basu for not taking "moral/emotional/spiritual dimensions" of poverty into consideration. It has been attempted to capture these additional factors by the "Global Happiness Index".

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See also

• Human Development Index

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References

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Bibliography

• Duncan Green (2014), Are we measuring the right things? The latest multidimensional poverty index is launched today, Oxfam 
• David Satterthwaite (2014), Multidimensional Poverty Index: Another underestimate of urban poverty, London: International Institute for Environment and Development 
• Multi-Dimensional Poverty Index: An Application to the United States (PDF), University of Wisconsin-Madison, Institute for Research on Poverty, 2015 

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External links

• Website

Source of the article : Wikipedia