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- W2277364396 abstract "In the last decades, there is a unanimous consensus that deprivation is a multidimensional concept that cannot be adequately captured by considering only unidimensional measures related to income. However, a difficulty arises. Whereas most of the multidimensional indices proposed deal well only with quantitative data, the majority of the data available to measure deprivations are either ordinal or categorical. In 2010, the European Council adopted 9 common indicators 2 to measure the material deprivation (EU-MD) for all the 27 EU Member States. The EU MD rate is currently defined as the proportion of people living in households who cannot afford at least 3 items. The main drawback of the MD indicators currently used is its small number of items. Since 2010, the importance of MD indicators has grown significantly and several initiatives have been implemented to modify and amply such dataset. An alternative to the traditional indices is the counting approach introduced by Atkinson (2003), who observed that empirical studies of deprivation do not use a social welfare function approach, but rather focus on counting the number of dimensions in which people suffer deprivation. The counting approach is an appropriate procedure that deals well with ordinal and categorical variables. A number of counting deprivation measures has been derived. Many times choosing different measures leads to contradictory results. The dominance criteria introduced by Lasso de la Vega (2010) guarantee reaching robust conclusions in a counting framework. This paper applies the cited methodology and dominance criteria to Italy in the period 2005-2009 using data collected in the Survey on Income and Living Conditions (EUSILC). Following Ravallion's (1996) recommendations, we" @default.
- W2277364396 created "2016-06-24" @default.
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- W2277364396 date "2014-01-01" @default.
- W2277364396 modified "2023-09-24" @default.
- W2277364396 title "EVALUATING DEPRIVATION IN ITALY USING A MULTIDIMENSIONAL COUNTING APPROACH 1" @default.
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