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Multidimensional measures of deprivation in Tunisia

机译:突尼斯剥夺的多维措施

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The multidimensional apprehension of poverty is largely accepted today given the considerable contribution to understanding and acting against the manifestations of this phenomenon. Amartya Sen’s capability approach is the basis of the recent developments on the subject. In this perspective, the present work aims to study the application of multidimensional deprivation measures on Tunisian data. This paper investigates the nature of deprivations in the country using the measures proposed by Alkire and Foster, based on a two-threshold identi?cation method. Our work proposes measures of deprivation in four dimensions. In addition to the dimension of economic resources, we consider the deprivations in terms of housing, education and health. The study employed the national survey on household budget, consumption and standard of living 2010. The results are useful in identifying the most widespread deprivations and the most vulnerable population groups. In fact, with the monetary approach it is not possible to target all vulnerable groups and to detect all the deprivations suffered by the population. According to the results of this work, the western and southern regions of the country record the highest deprivation rates. The results are also indicative of the most widespread deprivations and the most affected socio-economic groups.
机译:今天对谅解和对这种现象的表现相当大的贡献,今天对贫困的多维逮捕基本上被接受。 Amartya Sen的能力方法是最近对该主题的发展的基础。在这种观点中,本工作旨在研究多维剥夺措施对突尼斯数据的应用。本文根据双阈值识别,研究了利用碱和福斯特提出的措施的剥夺性质的性质。我们的工作提出了四个维度剥夺措施。除了经济资源的维度之外,我们还考虑到住房,教育和健康方面的剥夺。该研究采用了全国家庭预算调查,居居住的居住标准。结果可用于识别最普遍的剥夺和最脆弱的人口群体。事实上,通过货币方法,不可能靶向所有弱势群体并检测人口遭受的所有剥夺。根据这项工作的结果,该国西部和南部地区的剥夺税率最高。结果也表明最普遍的剥夺和最影响最大的社会经济群体。

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