One Size Fits All? The Validity of a Composite Poverty Index Across Urban and Rural Households in South Africa.

Journal: Social indicators research

Volume: 136

Issue: 1

Year of Publication: 

Affiliated Institutions:  Department of Social Policy and Intervention, University of Oxford, Barnett House, Wellington Square, Oxford, OX ER UK. Warwick Medical School, University of Warwick, Coventry, CV AL UK. Chair of Development Economics, University of Göttingen, Platz der Göttinger Sieben , Göttingen, Germany.

Abstract summary 

Composite indices have been prominently used in poverty research. However, validity of these indices remains subject to debate. This paper examines the validity of a common type of composite poverty indices using data from a cross-sectional survey of 2477 households in urban and rural KwaZulu-Natal, South Africa. Multiple-group comparisons in structural equation modelling were employed for testing differences in the measurement model across urban and rural groups. The analysis revealed substantial variations between urban and rural respondents both in the conceptualisation of poverty as well as in the weights and importance assigned to individual poverty indicators. The validity of a 'one size fits all' measurement model can therefore not be confirmed. In consequence, it becomes virtually impossible to determine a household's poverty level relative to the full sample. Findings from our analysis have important practical implications in nuancing how we can sensitively use composite poverty indices to identify poor people.

Authors & Co-authors:  Steinert Janina Isabel JI Cluver Lucie Dale LD Melendez-Torres G J GJ Vollmer Sebastian S

Study Outcome 

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Statistics
Citations :  Acock AC. Discovering structural equation modeling using Stata. College Station, TX: StataCorp LP; 2013.
Authors :  4
Identifiers
Doi : 10.1007/s11205-016-1540-x
SSN : 0303-8300
Study Population
Male,Female
Mesh Terms
Other Terms
Asset indices;Multidimensional poverty;Poverty indices;Structural equation modelling;Validity
Study Design
Cross Sectional Study
Study Approach
Country of Study
South Africa
Publication Country
United States