Abstract
1This paper performs an economic poverty and inequality mapping of three children age categories in Malta; it consists in the first attempt based on income from the EU-SILC survey and Census data. From a policy-making point of view, the availability of such key economic indicators at locality level certainly provides a valuable tool in assessing the effectiveness of national strategies and in identifying areas that need to be targeted by new policies; in fact sample surveys alone cannot provide reliable information at such a fine level of detail, while national censuses are not designed to and cannot be extended to cover specific topics such as economic poverty and inequality. Thus, the merging of the two sources provides policy-makers with a new insight into the differences between localities. There are also benefits of a technical nature, particularly in terms of sampling strategies, that can be derived from this study. Through such an exercise it is possible to identify economic homogeneity and/or heterogeneity among households with children in different localities: this is useful when defining strata for sampling design for surveys aiming at studying other economic phenomena relating to children.
Highlights
Economic poverty and inequality maps are spatial descriptions of the distribution of poverty and inequality; for their construction, living standard information covering consumption expenditure are needed
Section five reports concluding remarks and recommendations; from a policy-making point of view, the availability of economic key indicators at locality level certainly provides a valuable tool in assessing the effectiveness of national strategies and in identifying areas that need to be targeted by new policies on economic phenomena
The results derived from this study are of interest in their own right, but they can be applied advantageously within different fields, as will be described below
Summary
Economic poverty and inequality maps are spatial descriptions of the distribution of poverty and inequality; for their construction, living standard information covering consumption expenditure are needed. Information about the economic status where children live, their health status, their involvement in labour activities, their possible social exclusion, the general condition of immigrated children or children born in a EU country from immigrated parents are extremely useful information In the former EU —15 countries, the quality of such data has reached a very high standard and the Commission has the goal to standardise and harmonise this quality level among the current EU-28, including Malta. The estimated econometric linear regression models with variance components are reported and there is a full description of how the Montecarlo simulation has been considered in order to prepare the statistical information for calculating bootstrapping standard errors of poverty and inequality measures. Section five reports concluding remarks and recommendations; from a policy-making point of view, the availability of economic key indicators at locality level certainly provides a valuable tool in assessing the effectiveness of national strategies and in identifying areas that need to be targeted by new policies on economic phenomena
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