Conchita D'Ambrosio

The Measurement of Social Exclusion

This paper develops an axiomatic approach to the measurement of social exclusion. At the individual level, social exclusion is viewed in terms of deprivation of the person concerned with respect to different functionings in the society. At the aggregate level we treat social exclusion as a function of individual exclusions. The class of subgroup decomposable social exclusion measures using a set of independent axioms is identified. We then look at the problem of ranking exclusion profiles by exclusion dominance principle under certain restrictions. Finally, applications of decomposable and non-decomposable measures suggested in the paper using European Union and Italian data are also considered.

A Generalized Index of Fractionalization

The goal of this paper is to contribute to the economic literature on ethnic and cultural diversity by proposing a new index that is informationally richer and more flexible than the commonly used ‘ethno-linguistic fractionalization’ (ELF) index. We characterize a measure of diversity among individuals that takes as a primitive the individuals, as opposed to ethnic groups, and uses information on the extent of similarity among them. Compared to existing indices, our measure does not require that individuals are pre-assigned to exogenously determined categories or groups. We show that our generalized index is a natural extension of ELF and is also simple to compute. We also provide an empirical illustration of how our index can be operationalized and what difference it makes as compared to the standard ELF index. This application pertains to the pattern of fractionalization in the United States.

Individual Well-Being in a Dynamic Perspective

This paper explores the determinants of individual well-being as measured by self-reported levels of satisfaction with income. Making full use of the panel data nature of the German Socio-Economic Panel, we provide empirical evidence for well-being depending on absolute and on relative levels of income in a dynamic framework. This finding holds after controlling for other influential factors in a multivariate setting. The main novelty of the paper is the consideration of dynamic aspects: individual’s own history as well as the relative income performance with respect to the others living in the society under analysis do play a major role in the assessment of well-being.

Multidimensional Poverty and Material Deprivation with Discrete Data

We propose a characterization of a popular index of multidimensional poverty which, as a special case, generates a measure of material deprivation. This index is the weighted sum of the functioning failures. The important feature of the variables that may be relevant for poverty assessments is that they are discrete in nature. Thus, poverty measures based on continuous variables are not suitable in this setting and the assumption of a discrete domain is mandatory. We apply the measure to European Union member states where the concept of material deprivation was initiated and illustrate how its recommendations differ from those obtained from poverty measures based exclusively on income considerations.

Household Characteristics and the Distribution of Income in Italy: An Application of Social Distance Measures

The Lorenz criterion of preferable distributions fails to distinguish adequately between convergence to the global mean and clustering around local means. This concern has motivated independent work by Wolfson, and Esteban and Ray on the notion of polarization. In this paper I build on this recent work by providing a new method that characterizes changes in the entire distribution, rather than focussing only on dispersion. In particular, the approach proposed offers a new decomposition method of within‐ and between‐group components that differs from the classical method of additively decomposable inequality indices. The new method can monitor which factors modified the entire distribution, where precisely on the distribution these factors had an effect, and what determined the variation in the level of social distance between groups or geographic areas. Summary statistics of the observed movements and of distance between and divergence among the estimated and the counterfactual distributions are provided as well as a new index of social distance. The new method is then applied to Italian data on income distribution between 1987 and 1995.

Multidimensional Approaches to Poverty Measurement: An Empirical Analysis of Poverty in Belgium, France, Germany, Italy and Spain, based on the European Panel

This article has three goals. First, we wish to compare three multidimensional approaches to poverty and check to what extent they identify the same households as poor. Second, we aim at better understanding the determinants of poverty by estimating logit regressions with five categories of explanatory variables: size of the household, age of the head of the household, her gender, marital status and status at work. Third, we introduce a decomposition procedure proposed recently in the literature, the so-called Shapley decomposition, in order to determine the exact marginal impact of each of the categories of explanatory variables. Our empirical analysis is based on data made available by the European Community Household Panel (ECHP). We used its third wave and selected five countries: Belgium, France, Germany, Italy and Spain.

Polarization Orderings Of Income Distributions

This paper considers an intermediate notion of polarization which is defined as a convex mix of relative and absolute concepts of polarization. While absolute polarization indices remain unchanged under equal absolute augmentation in all incomes, relative indices do not change under equiproportionate variations in all incomes. We then identify the class of intermediate polarization indices whose orderings of alternative income distributions agree with the rankings generated by intermediate polarization curves. The ranking relation developed is implemented by a simple graphical device. Finally, a numerical illustration of the results developed in the paper is provided using data from Southern European countries.

Attitudes to Income Inequality: Experimental and Survey Evidence

We review the findings in surveys and experiments from the literature on attitudes to income inequality. We interpret the latter as any disparity in incomes between individuals. We classify these contributions into two broad groups of individual attitudes to income distribution in a society: the normative and the comparative view. The first can be thought of as the individuals disinterested evaluation of income inequality; on the contrary, the second view reflects self-interest, as individuals inequality attitudes depend not only on how much income they receive but also on how much they receive compared to others. We conclude with a number of extensions, outstanding issues and suggestions for future research.

Adaptation to poverty in long-run panel data

We consider the link between poverty and subjective well-being, and focus in particular on potential adaptation to poverty. We use panel data on almost 45,800 individuals living in Germany from 1992 to 2011 to show first that life satisfaction falls with both the incidence and intensity of contemporaneous poverty. We then reveal that there is little evidence of adaptation within a poverty spell: poverty starts bad and stays bad in terms of subjective well-being. We cannot identify any causes of poverty entry which are unambiguously associated with adaptation to poverty.

The Distribution of Economic Insecurity: Italy and the U.S. Over the Great Recession

We estimate the distribution of economic insecurity in Italy and the U.S. using data from 1994 to 2010. Economic insecurity for each individual is assumed to depend on both current wealth and the changes in wealth that have been experienced in the past. The first element plays the role of the buffer stock that can be relied on in the case of an adverse future event. The second element reflects the individuals confidence in his ability to overcome any losses in the future. With respect to this second element, experiences in the recent past are given greater weight than experiences that occurred in the more distant past. The results confirm that the great recession has had a dramatic effect on the distribution of economic insecurity in both countries with the effect being much stronger in the U.S.