Multidimensional Rank Based Poverty Measures A Case Study: Tunisia

Chtioui, Naouel and Ayadi, Mohamed (2017): Multidimensional Rank Based Poverty Measures A Case Study: Tunisia.

Abstract

For a long time, poverty measurement has been based strictly on a monetary approach. Since Sen (1976), many poverty measures have been proposed based on an axiomatic foundation, like the Sen (1976) measure, the class of FGT measures (1984), the Shorrocks (1995) measure, otherwise known as the Sen-Shorrocks-Thon (SST) measure.

Due to capabilities approach (first developed by Sen (1985)) and basic needs approach, we realize that the poverty of a person is not only a lack of income but an insufficiency in various attributes of well-being. For better representing the multidimensional aspect of poverty, many approaches of multidimensional poverty measurement have been proposed like the multidimensional axiomatic approach.

We propose in this paper to contribute to the latter approach. For that, we use a two-stage aggregation procedure to develop classes of multidimensional poverty measures which are extension to the multidimensional context of classes of generalized SST measures developed by Chtioui and Ayadi (2013).

We apply our measures on Tunisia using the bootstrap method to see the evolution of multidimensional poverty between 1994 and 2006.

• Item Type: MPRA Paper
• Language: English
• Keywords: multidimensional poverty, multidimensional generalized SST, ethical, separability, bootstrap
• Subjects: C - Mathematical and Quantitative Methods > C0 - General > C02 - Mathematical Methods; C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C12 - Hypothesis Testing: General; C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C14 - Semiparametric and Nonparametric Methods: General; D - Microeconomics > D6 - Welfare Economics > D63 - Equity, Justice, Inequality, and Other Normative Criteria and Measurement; I - Health, Education, and Welfare > I3 - Welfare, Well-Being, and Poverty > I32 - Measurement and Analysis of Poverty

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