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30 Volume LXIII nn. 3-4 – Luglio-Dicembre 2009 Riferimenti bibliografici essenziali Baio G., Blangiardo G.C., Blangiardo M. 2008. Centre sampling technique in foreign migration surveys: a methodological note. Quaderno di dipartimento, 6, pp 1-13. Milano. Banca d’Italia 2008. I bilanci delle famiglie italiane nell’anno 2006. Supplemento al Bollettino statistico. Indagini Campionarie. Nuova serie. Anno XVIII, Numero 7. Roma. Barsotti O., Moretti E. (a cura), 2004, Rimesse e cooperazione allo sviluppo, Franco Angeli, Milano. Blangiardo G.C. (a cura) 2008. L’immigrazione straniera in Lombardia. La settima indagine regionale. Rapporto 2007. Fondazione ISMU. Milano. Chelli F., Paterno A. 2002. Misurazione del livello di povertà in un collettivo di immigrati: due metodi a confronto, in Rivista Italiana di Economia, Demografia e Statistica, 4, 11-30. Chelli F., Paterno A. 2006. La povertà. In: Sospesi tra due rive: migrazioni e insediamenti di marocchini e albanesi, Paterno A., Strozza S., Terzera L., (a cura), pp 192-206, Franco Angeli, Milano. Commissione d’indagine sull’esclusione sociale 2000. Rapporto annuale sulle politiche contro la povertà e l’esclusione sociale, Presidenza del Consiglio dei Ministri, Dipartimento per gli Affari Sociali, Roma. ISTAT 2008. La povertà relativa in Italia nel 2007. Statistiche in breve. Famiglia e Società. Merlini A. 1992. Un metodo per la formazione dei gruppi quando è richiesto che essi siano in una relazione ordinale, Quaderni dell’Istituto di Matematica e Statistica, Università di Ancona. SUMMARY The rapid growth of the number of migrants living in Italy during the last decades has aroused great interest in the analysis of migrants’ characteristics, especially standard of living. However, the existing approaches for the determination of poverty line are not sufficiently suitable for the foreign population. Indeed migrants present a specific consumption profile and are more inclined to saving in order to send money at their original country. In order to estimate the percentage of poor families living in Lombardy, to introduce the multidimensional aspect of poverty condition and to describe the different characteristics of migrant families, we combine the International Standard of Poverty Line method with an iterative discriminant analysis. Elisa BARBIANO DI BELGIOJOSO, Assegnista di ricerca in Demografia, Dipartimento di Statistica, Università di Milano-Bicocca. Francesco M. CHELLI, Professore straordinario di Statistica Economica, Dipartimento di Economia, Università Politecnica delle Marche. Anna PATERNO, Professore associato di Demografia, Dipartimento per lo Studio delle Società Mediterranee, Università di Bari.
Rivista Italiana di Economia Demografia e Statistica Volume LXIII nn. 3-4 – Luglio-Dicembre 2009 INEQUALITY IN ITALY: AN APPROACH BASED ON SHAPLEY VALUE DECOMPOSITION Martina Celidoni, Margherita Gerolimetto, Luca Salmasi 1. Introduction According to OECD 1 , in 27 countries around the world the majority thinks that the economic developments of the last few years have not been shared fairly. Especially in some countries 2 , e.g. Italy, the perception of the unfairness in sharing benefits and disadvantages is quite strong. For this reason we propose in this study an analysis of inequality, focused on factors, in order to understand how occupation, education and demographic characteristcs affect income distribution. In particular, in this paper the dynamic of inequality in Italy over the period 1997-2004 is studied using the Shapley value decomposition methodology. Up to now, the latter has been used with cross-sectional data about income distribution, ignoring the dynamic impact of the underlying causes. In this work we add the time dimension of the phenomenon by introducing macrocohorts. The paper is structured as follows: first we present how macrocohorts have been constructed and the dynamic of Italian housholds expenditure in the period 1997- 2004, then we describe the Shapley value decomposition and finally we discuss the empirical results. 2. Data The dataset used for the analysis comes from the Italian budget household survey conducted by ISTAT, we focused our attention on the period 1997-2004. According to previuos empirical analysis (Gunatilaka and Chotikapanich, 2006) we use households expenditure as proxy for income because directly related to 1 Over 80% of the surveyed sees iniquitous the distribution of economic resources in the economy. www. http://www.oecd.org/dataoecd/44/62/41524135.pdf [11/06/2009]. 2 Italy, France, Spain, South Korea, Japan and Germany.
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SOCIETÀ E RIVISTA ADERENTI AL SIST
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