Multi-Poverty in Cameroon: A Dimensional Score Approach

PEP working paper serie 2011-01

41 Pages Posted: 1 Aug 2018

See all articles by Paul Ningaye

Paul Ningaye

University of Dschang

Yemedjeu Tiomela

University of Dschang

Virginie Takoutio Feudjio

University of Dschang

Date Written: January 1, 2011

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 is multiple indicators multiple causes (MIMIC) modelling, which can be used to explain, measure and calculate the scores for five dimensions of welfare. 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.

Keywords: MIMIC, Multi-poverty, Dimensional Scores, Capabilities, Functionings Approach

Suggested Citation

Ningaye, Paul and Tiomela, Yemedjeu and Takoutio Feudjio, Virginie, Multi-Poverty in Cameroon: A Dimensional Score Approach (January 1, 2011). PEP working paper serie 2011-01. Available at SSRN: https://ssrn.com/abstract=3171048 or http://dx.doi.org/10.2139/ssrn.3171048

Paul Ningaye (Contact Author)

University of Dschang ( email )

Cameroon

Yemedjeu Tiomela

University of Dschang ( email )

Virginie Takoutio Feudjio

University of Dschang ( email )

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