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Mobility implies initial and final distributions and a transition process linking the observations of these two distributions. An inequality index describes properties of the intitial or final distribution. A mobility index describes the transition. In most cases, mobility indices have been developed using properties of transition matrices independently of the concepts of inequality and equity that may also be used in the analysis. This paper presents a new tool – the Gini index of mobility – that provides an overall consistent framework for the analysis of mobility, inequality, and horizontal equity. The theoretical concepts are illustrated empirically using panel data from rural Mexico.

Various indicators of income inequality and social welfare can be obtained simply by using the Gini index and the mean income of the population. This paper reviews existing indicators and presents several new indicators of this kind. While contemporary researchers seem to be preoccupied with relative inequality, this paper advocates for using intermediate inequality views and supplementing inequality rankings of countries with rankings based on social welfare. Empirical analysis, performed for 36 European countries, demonstrates such an approach’s advantages.

This article axiomatically derives a class of numerical indices of integration (equality) in the distribution of different types of workers across occupations. The associated segregation (inequality) indices parallel one form of multidimensional generalized Gini inequality indices. A comparison is made with the other Gini-related segregation indices. A numerical illustration of the family of indices is also provided using US occupational data.

Income polarization is a relatively new concept introduced in the literature of the measurement of income inequality. It has essential properties that may be used to measure relative deprivation and it adds another dimension to the measurement of income inequality concerned mainly with the middle income class (Esteban and Ray, 1994). No study, however, seems to have tried to decompose by population subgroups any of the polarization indices that have appeared in the literature. This study introduces a methodology that decomposes the polarization index recently suggested by Deutsch et al. (2007) by population subgroups. This polarization index is related to the Gini index and its components so that previous results on the decomposition of the Gini index may be applied. Two main cases are examined, that of nonoverlapping groups and overlapping groups. The paper also includes an empirical analysis based on Israeli data for the period 1990–2004, which covers the case of nonoverlapping (income) groups as well as that of overlapping groups, the latter being either Jews of Western and Eastern origin or Jews and Non-Jews. The empirical analysis shows a decrease in polarization over the period 1990–2002 and an increase in polarization during the years 2002–2004. Using the Shapley methodology we analyze the contribution of the different factors to the trend in polarization observed over time.

Globalization is a process of interaction and integration among the countries, their people, their businesses, and their governments. It is a change driven by international trade, implemented by various policies and aided by modern technology. It has impacts on the environment, culture, political systems, economic development and prosperity, and human physical well-being in societies around the world. But there can be some negative impacts as well. One possible outcome of globalization of all sorts can be the income inequalities. Objective of this chapter is to search for any such connection. Gini coefficient, unemployment rate, Below Poverty Line (BPL) is taken to understand the extent of inequalities in different countries. Outcome shows some countries do not show any association between globalization and income inequalities; some do. Therefore, there are some other variables which influence the above relationship. This chapter tries to identify all such background factors. It reveals that factors like level of development, demographic structure, urbanization, adult and tertiary level of education and government expenditure share in higher education play important roles. All these have different magnitudes of impacts on change in income distribution due to the initial process of globalization.

Measures of inequality determine the effectiveness of social and economic policies aimed at reducing inequality and to design effective intervention policies. The purpose of this paper is to focus on poverty reduction and welfare improving impacts of reducing income inequality in the case of Fiji. Using Fiji's Household Income and Expenditure Survey 2002‐2003, a comprehensive analysis is used to measure the level of inequality by household income, quintile income distribution, decomposition of inequality by ethnicity and regional groups, and the household income inequality by source of income.

Several statistical techniques have been applied to investigate the degree of inequality in the household income. These include the Gini coefficient, the Nelson ratio, the concentration index and the Atkinson index. An evaluation by ethnicity, regions and household income sources reflects the level of inequality, and concerns for policies and governance.

The results show that urban households, in particular, experience greater inequalities, in both positive and normative terms. The Indo‐Fijian households experience greater income inequalities than the Fijian households. Decomposition results for the separate factor income components also indicate major sources of inequality. These findings clearly establish that Fiji still has a long way to go in reducing the income gaps between the rich and the poor in both rural and urban households.

The paper is a first study that estimates various measures of inequality in the case of Fiji. The implication of the empirical findings suggests that Fiji is unlikely to achieve its Millennium Development Goal of halving poverty rate by 2015 due to the large income differentials by ethnicity and in the urban‐rural areas.

The purpose of this paper is to propose the application of Gini, Theil and concentration indices for measuring inequality in water usage.

Gini coefficients and Theil indices have been used to estimate the overall inequality in domestic water use in a sample of 30 countries around the world. Along with Theil’s L (unweighted) index, liters per capita per day and gross national income weighted Theil index have also been estimated. Theil indices have been further disintegrated into within- and between-group inequalities. Concentration curve is also constructed to study the inequality in water use in accordance to the countries’ economic standing.

Domestic water use is high among the well-off countries considered in the study. Also, the Theil indices indicate that between group inequality contributes more to the overall inequality. It is observed that Theil indices, which consider only per capita water usage and can be decomposed, give a better insight into the existing inequality.

Different approaches were used to quantify inequality. The choice of index depends on the context of the study. The proposed approaches can contribute to planning of sustainable water management and development policies.

There is a dearth of metrics for quantifying inequality in water access or use. The study presents the application of indices, widely used in quantifying inequality in access to other resources such as income and energy, in assessing water inequality.

Purpose – We propose the Information Theory of Segregation, which holds that all measures of segregation and of inequality are united within a single conceptual framework. Accepting this framework implies that all measures of inequality can also be used to measure segregation and that all measures of segregation are fundamentally based on measures of inequality.

Methodology – We state several propositions that follow from the information theory perspective, and show mathematically that many common measures of inequality and segregation satisfy the propositions.

Findings – We show that all common measures of inequality can be used to form measures of segregation and that the resulting measures can be applied to binary, polytomous, and continuous variables. Further, we develop several new measures, including a Gini Segregation Index (GS) for continuous variables and Income Dissimilarity Index (ID), a version of the Index of Dissimilarity suitable for measuring economic segregation. We show that segregation measures can easily be adapted to handle persons of mixed race, and describe the Non-Exclusive Index of Dissimilarity (NED) and the Non-Exclusive Entropy Index of Segregation (NEH). We also develop a correction for structural constraints on the value of segregation measures, comparable to capacity constraints in a communications channel, which prevent them from reaching their theoretical maximum or minimum value.

Originality – Placing inequality and segregation measures in a common framework is useful for several reasons. It highlights a common mathematical structure shared by many different segregation measures, and it suggests certain useful variants of these measures that have not been recognized previously.

The purpose of this paper is to investigate the relationships between expenditure inequality and expenditure polarization in Indonesia during the post-reformation era in 2002–2012. It also explores the various dimensions of regional groups; and finds out in which dimension did the expenditure inequality and polarization occur in Indonesia during the period.

Gini index was employed to measure expenditure inequality and a number of developed polarization measurement was applied to investigate the linkage between inequality and polarization at national levels. It also applied a polarization index based on inequality decomposition to investigate how the polarization occurs in the regional dimension. It covered several groups of regional dimensions; those are rural and urban areas; eastern and western regions, as well as natural resource-rich provinces and non-natural resource-rich provinces.

This study found that expenditure inequality and polarization in Indonesia have moved in line, showing an increasing trend during the observation period. In the regional context, the greatest rise was in the region with low initial levels of expenditure inequality and polarization. The trends in each of the regional dimension showed a convergent pattern. It also showed that a significant portion of total polarization was attributed to expenditure differences between urban and rural areas rather than the other groups of regions.

The similar upward movement of expenditure inequality and polarization indicates that not only the differences between groups of expenditure are getting larger, but also the identification of the within groups expenditure are getting stronger. Since the high degree of inequality and polarization are closely related to conflict among groups of communities, this finding is a strong message to the policymaker that the development process in Indonesia during 2002–2012 tended to encourage the creation of social instability.

This study provides an evaluation for further development of social economy in Indonesia.

This paper attempts to give an overview of the relationship between expenditure inequality and polarization in Indonesia during 2002–2012. It also tries to reveal in which regional dimension, expenditure inequality and polarization occurred in Indonesia during the mentioned period. The issues have not been examined in previous empirical studies in Indonesia.

This paper investigates whether an outcome-based school aid formula could improve fiscal and outcome equity significantly more than a typical aid formula would. When outcome-based formula is applied to foundation aid, fiscal and outcome equity deteriorates compared to Ohio's recent aid formula. However, when it is applied to power-equalizing aid, the latter improves fiscal and outcome equity more significantly than both foundation aid and Ohio's recent aid formula do. This paper further shows how to apply them to real-world cases. The lessons from this paper can be easily applied to similar grant systems with standardized test scores.