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Capturing the Multidimensionality of Poverty

Capturing the Multidimensionality of Poverty. Alternative and Complementary Sources of Poverty related Data. The MDG Imperative.

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Capturing the Multidimensionality of Poverty

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  1. Capturing the Multidimensionality of Poverty Alternative and Complementary Sources of Poverty related Data

  2. The MDG Imperative • The MDGs, in focusing on the multiple dimensions of development, emphasize the need to draw on a wide range of data sources to reveal different facets of poverty and to cross-check on findings • These sources can generate information on the tangible and non-tangible aspects of living levels and the strength and importance of various ‘sentiments’ and conditions

  3. Coverage of Items

  4. Aspects • Issues above ignore questions of ‘access’ and ‘exclusion’ and role of civil society • In handling questions of ‘who’, ‘how many’, ‘how much’, ‘where found’ and ‘what people do’ who are poor, we need to know at least the • Extent • Incidence • Severity • Location • Characteristics of poverty

  5. Types of Data Sources • Censuses and sample censuses – population, housing, agriculture, etc • Ministerial Records • Civil registration • Official commissions of Enquiry • Community Level Studies by NGOs • Qualitative Surveys

  6. Non Formal Approaches • Key informants • Focus groups • Interpreters and independent observers • Opinion surveys • Market surveys • Sensory studies • Rapid rural appraisals • Social weather stations [perceptions and their ‘strength’] • Self assessments • Miscellaneous indicators

  7. ‘Mapping’ • The CWIQ as a filter and CWIQ Plus • LSMS Community Surveys • SDA priority surveys • Triangulation [attenuation?] techniques The use of qualitative methods to probe in depth, to identify issues and signal concerns [reducing non-sampling error, improving stratification criteria].

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