Multi-Poverty in Cameroon: A Structural Equation Modeling Approach

Paul Ningaye (), Tiomela Alexi and Takoutio Virginie

Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, 2013, vol. 113, issue 1, 159-181

Abstract: The primary objective of this study is to capture multi-poverty with values for welfare dimensions rather than the typical approach of a composite welfare indicator. The method used to explain, measure and calculate the scores for five dimensions of welfare is Structural Equation Modeling. Poverty analysis methods applied on these scores show that each type of poverty has specific determinants, although some determinants are common to several dimensions of poverty. Similarly, each region is affected by particular types of poverty while no form of poverty is unique to a single region. We thus propose to target multi-poverty via dimensional scores to formulate policy. A comparison with previous approaches shows that dimensional scores are more appropriate for identifying the specific needs of the population in the fight against poverty. Copyright Springer Science+Business Media B.V. 2013

Keywords: SEM; Multi-poverty; Dimensional scores; Capabilities and functionings approach (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (5)

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DOI: 10.1007/s11205-012-0087-8

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