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Multi-Poverty in Cameroon: A Structural Equation Modeling Approach

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  • Paul Ningaye
  • Tiomela Alexi
  • Takoutio Virginie

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

Suggested Citation

  • Paul Ningaye & Tiomela Alexi & Takoutio Virginie, 2013. "Multi-Poverty in Cameroon: A Structural Equation Modeling Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 113(1), pages 159-181, August.
    • Handle: RePEc:spr:soinre:v:113:y:2013:i:1:p:159-181
    DOI: 10.1007/s11205-012-0087-8
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    Cited by:

    1. Antonio Acconcia & Maria Carannante & Michelangelo Misuraca & Germana Scepi, 2020. "Measuring Vulnerability to Poverty with Latent Transition Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 151(1), pages 1-31, August.
    2. Agnese Peruzzi, 2015. "From Childhood Deprivation to Adult Social Exclusion: Evidence from the 1970 British Cohort Study," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 120(1), pages 117-135, January.
    3. Joel Mebada, 2018. "La pauvretédes ménages et bien-être individuel au Cameroun, une analyse spatiale et régionale du phénomène," Working Papers halshs-01895269, HAL.
    4. Li, Hanbing & Jin, Xiaobin & McCormick, Barbara Prack & Tittonell, Pablo & Liu, Jing & Han, Bo & Sun, Rui & Zhou, Yinkang, 2023. "Analysis of the contribution of land consolidation to sustainable poverty alleviation under various natural conditions," Land Use Policy, Elsevier, vol. 133(C).

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