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Poverty 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.

The Europe 2020 Strategy has formulated key policy objectives or so-called "headline targets" which the European Union as a whole and Member States are individually committed to achieving by 2020. One of the five headline targets is directly related to the key quality aspects of life, namely social inclusion; within these targets, the European Union Statistics on Income and Living Condition (EU-SILC) headline indicators atrisk-of-poverty or social exclusion and its components will be included in the budgeting of structural funds, one of the main instruments through which policy targets are attained. For this purpose, Directorate-General Regional Policy of the European Commission is aiming to use sub-national/regional level data (NUTS 2). Starting from this, the focus of the present paper is on the "regional dimension" of well-being. We propose to adopt a methodology based on the Empirical Best Linear Unbiased Predictor (EBLUP) with an extension to the spatial dimension (SEBLUP); moreover, we compare this small area technique with the cumulation method. The application is conducted on the basis of EU-SILC data from Austria and Spain. Results report that, in general, estimates computed with the cumulation method show standard errors which are smaller than those computed with EBLUP or SEBLUP. The gain of pooling SILC data over three years is, therefore, relevant, and may allow researchers to prefer this method.

"Showcasing fuzzy set theory, this book highlights the enormous potential of fuzzy logic in helping to analyse the complexity of a wide range of socio-economic patterns and behaviour. The contributions to this volume explore the most up-to-date fuzzy-set methods for the measurement of socio-economic phenomena in a multidimensional and/or dynamic perspective. Thus far, fuzzy set theory has primarily been utilised in the social sciences in the field of poverty measurement. These essays examine the latest work in this area while also exploring further applications including social exclusion, the labour market, educational mismatch, sustainability, quality of life and violence against women. The authors demonstrate that real world situations are often characterized by imprecision, uncertainty and vagueness which cannot be properly described by the classical set theory which uses a simple true-false binary logic. By contrast, fuzzy set theory has been shown to be a powerful tool for describing the multidimensionality and complexity of social phenomena. This book will be of significant interest to economists, statisticians and sociologists utilising quantitative methods to explore socio-economic phenomena."

This impressive collection from leading distributional analysts provides an overview of a wide range of economic, statistical and sociological relationships. The resulting book deserves its place on the bookshelf of serious mathematical economists everywhere

AbstractThis study aims to improve the measurement of multidimensional poverty for the purpose of analyzing gender differences while considering the limitations of household surveys. To effectively analyze gender disparities, it addresses three issues that are often overlooked in the literature: disregard for within-household inequalities in household-level indicators; disregard for ineligible populations in indicators that represent only a specific group; and disregard for intermediate deprivation situations in cutoff-based poverty estimations. Using data from the Brazilian Consumer Expenditure Survey 2017–2018, we create two indexes with indicators that are key aspects in gender and feminist analyses. Applying a fuzzy approach and the Alkire–Foster method, we estimate multidimensional poverty and gender differences from three perspectives: intrahousehold, interhousehold, and intracouple. We also calculate inequality among the poor and intracouple gender gaps proposing fuzzy versions for these analyses. The main findings suggest that women are disadvantaged in terms of work and time quality, economic security, and access to resources—all of which are crucial components of agency or degree of empowerment.

While much is known about the situation in the labour market in the form of gender pay and earnings gaps, rather little is understood about their sequel in old age the gender pension gap. Entering the world of pensions may well signal a step backwards as far as women's independence is concerned, particularly in countries where women have earned economic independence in employment and are now being confronted by institutional frameworks presuming, encouraging or even imposing dependence. Unequal Ageing in Europe explores the gender pension gap across the member states of the European Union, plus Iceland and Norway. Employing microdata from the Survey of Income and Living Conditions (EU-SILC), along with data from the Survey of Health, Ageing and Retirement in Europe (SHARE), the authors derive key facts regarding pension inequality between women and men. An intuitive indicator for a pension gender gap is derived and contrasted with equivalent indicators for pay and earnings gaps. The authors explore European diversity in a number of dimensions and benchmark their findings against equivalent findings in the US.