Handbook of Research on Economic and Social Well-Being
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Handbook of Research on Economic and Social Well-Being

Edited by Conchita D’Ambrosio

The past decade has been characterized by a burgeoning interest in new concepts of individual and social well-being. The impetus for this new research has stemmed from increased demand from policy makers and civil society for measures of progress that go beyond the traditional measures of GDP, as well as improved datasets allowing individuals and households to be tracked over their life course. The aim of this Handbook is to chart these developments and provide extensive surveys of many of the recent themes that have emerged in the research literature. Some of the topics addressed include poverty. relative deprivation and satisfaction, economic insecurity, social exclusion and inequality, income and social polarization, and social fractionalization and diversity. Each topic is first analyzed from a theoretical perspective, followed by detailed empirical discussion.
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Chapter 21: Segregation: theoretical approaches

Oscar Volij


Segregation and the study of its effects on socioeconomic variables has increasingly become an object of interest for economists. The multifaceted nature of the concept of segregation has led to the development of numerous indices which have tried to capture its different aspects. This chapter surveys the segregation literature focusing on axiomatic models. The axiomatic approach, by emphasizing the essential properties that the various measures share and those on which they differ, can help researchers to select the segregation indices that best fit their purposes. After presenting the basic notation, the chapter introduces the Lorenz segregation ordering on two-group cities and the four basic properties it satisfies. Examples of segregation indices are then illustrated. Additional axioms that segregation indices may satisfy, and some characterization results, are also presented. Finally, the case of variable number of groups is analysed and a further characterization theorem is formulated.

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