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Poverty and Social Exclusion: New Methods of Analysis
No full textPoverty and inequality remain at the top of the global economic agenda, and the methodology of measuring poverty continues to be a key area of research. This new book, from a leading international group of scholars, offers an up to date and innovative survey of new methods for estimating poverty at the local level, as well as the most recent multidimensional methods of the dynamics of poverty.
It is argued here that measures of poverty and inequality are most useful to policy-makers and researchers when they are finely disaggregated into small geographic units. Poverty and Social Exclusion: New Methods of Analysis is the first attempt to compile the most recent research results on local estimates of multidimensional deprivation. The methods offered here take both traditional and multidimensional approaches, with a focus on using the methodology for the construction of time-related measures of deprivation at the individual and aggregated levels. In analysis of persistence over time, the book also explores whether the level of deprivation is defined in terms of relative inequality in society, or in relation to some supposedly absolute standard.
This book is of particular importance as the continuing international economic and financial crisis has led to the impoverishment of segments of population as a result of unemployment, bankruptcy, and difficulties in obtaining credit. The volume will therefore be of interest to all those working on economic, econometric and statistical methods and empirical analyses in the areas of poverty, social exclusion and income inequality
Advances on income inequality and concentration measures
No full textThis impressive collection from some of today's leading distributional analysts provides an overview a wide range of economic, statistical and sociological relationships that have been opened up for scientific study by the work of two turn-of-the-20th-century economists: C. Gini and M. O. Lorenz. The authors include such figues as Barry Arnold and Frank Cowell and the resulting book deserves its place on the bookshelf of serious mathematical economists everywhere. © 2008 Editorial matter and selection, Gianni Betti and Achille Lemmi; individual chapters, the contributors. All rights reserved
A comparative analysis of school-to-work transitions in the European Union
No full textThe present paper describes some aspects of ‘school-to-work’ transition by analyzing the employment situation of individuals as a function of the time elapsed since the completion of education or training. Our perspective is interdisciplinary, comparative and dynamic, with special focus on the patterns in southern European countries. In the literature, most of the studies have had the basic approach of constructing indicators based on retrospective information on the time of first leaving continuous education, and current information on status and characteristics of the person's economic activity – expressing the status of activity as a function of the time elapsed since leaving continuous education. In this approach, essentially cross-sectional (though in part retrospective) information is interpreted as if it pertains to real cohorts. Much of this comparative analysis of school-to-work transitions in EU countries has been based on the EU Labour Force Survey, the 2000 round of which incorporated a special module to collect information on the subject. Our basic approach is to use the longitudinal data from the European Community Household Panel to identify, at the time of each wave, the person's most recently completed education and training, and study this in relation to the person's current employment situation and other characteristics as a function of the time elapsed since that completion. Hence, in form at least, our approach is similar to that of earlier studies based on the LFS, though there are considerable differences in substantive content and statistical methodology resulting from the use of different types of data. We also demonstrate how data from a panel survey may be cumulated over time to obtain a more adequate sample size
Sample design for a longitudinal analysis of poverty in a micro area of an italian region: Tuscany
No full textMultidimensional aspects of poverty and living conditions: the estimation at Regional level
No full textComposite indicators of poverty in the small area case
No full textNowadays there is a widespread agreement that poverty is a multifaceted phenomenon, encompassing deprivations along multiple dimensions, so that income is just one of the welfare indicators among several others that contribute to measure poverty. In this framework, our methodological choice for the measurement of multidimensional poverty responds to the notion that setting thresholds to separate the poor from the not poor is an inherently arbitrary one.
The process of obtaining composite and multidimensional indicators is a very data hungry process. Moreover, current surveys on households are often unplanned to produce significant estimates at domains (target subpopulations), which do not coincide with those of interest. For all these reasons the focus of the paper is not only on the definition of indicators but also on their estimation process, with particular attention to the statistical quality of the current estimation of the indicators (quality dimension of the indicators and obviously their accuracy), and on small area estimation techniques. The proposed methods belongs to the family of M-quantile SAE models and are applied to composite indicators such as those derived under the Sen approach
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