There is no survey available which targets socially excluded people in Pakistan, however the calculation of marginality index is possible and we can extract marginalized populations from a whole sample. But few indicators which help to calculate a marginality index have also been used in analyzing poverty. Does it make sense that we analyze the extent of multidimensional poverty among this extract's marginalized population?
It can make sense but rather than aggregating statistics (and often having to weight them) to get a single index, show the multi-dimensional nature of poverty by the number and range of statistics each showing different aspects of deprivation. perhaps a focus on social exclusion rather than marginalization (which is ambiguous and difficult to define)?
Before going to answer this question it is necessary to know how you construct and calculate marginality index.
Alkire, S. (2007). Choosing Dimensions: The Capability Approach and Multidimensional Poverty. SSRN Electronic Journal, 1–28. doi:10.2139/ssrn.1646411
Whether you extract marginalized populations from a whole sample or take the whole sample to show the disaggregated result for marginalized versus non marginalized groups, the fundamental question is chose the dimension and underlying indicators to estimate the MPI depending on the available survey information. If you want to follow the MPI methodology for marginalized population sample , you better use MPI language not marginality index. Alternative you may also simply estimate composite marginality index using min max approach without following MPI methodology.
- Badges
- Science topic
- Similar topics
- Geoscience
- Asia
- India