Capturing the Multidimensionality of Poverty

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
Material Non-Material
Market Household goods sold at full prices Services sold insurance, transport,etc
Non-Market Not sold Collective public goods Final household consumption of gov gs Own farm production Emergency supplies Rations, Informal midwives, etc Security, street lighting Health housing education
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.