rivista italiana di economia demografia e statistica - Sieds

38
Volume LXIII nn. 3-4 – Luglio-Dicembre 2009
References
[1] Deaton, A. (1985), Panel data from time series of cross sections, Journal of
Econometrics, 30, 109-126.
[2] Gunatilaka, R. and Chotikapanic, D. (2006), Inequality trends and determinants in Sri-
Lanka: a Shapley Approach to decomposition, Working paper 6/06, Department of
Econometrics and Business Statistics, Monash University.
[3] Shapley, L. 1953. A value for n-person games, in H.W.Kuhn and A.W.Tucker, eds.
Contributions to the theory of games, vol. 2 (Princeton University Press).
[4] Shorrocks, A.F. 1982. Inequality decomposition by factor components. Econometrica,
vol. 52, pp. 1369-1385.
[5] Shorrocks, A.F., 1999. Decomposition Procedures for distributional analysis: a unified
framework based on the Shapley value. Mimeo, University of Essex.
[6] Verbeek, M., and Nijman, T. (1992), Can cohort data be treated as genuine panel
data?, Empirical Economics, 17, 9-23.
SUMMARY
Inequality in Italy: an approach based on the Shapley value decomposition
The aim of this paper is to analyse inequality in Italy between 1997 and 2004.
We decompose the Gini index of inequality using the Shapley value decomposition
(Shapley, 1953; Shorrocks, 1982) in order to rank the contribution of different
socio - economic variables to income inequality among individuals and time.
Shapley's value decomposition is a regression based technique that allows to
consider different explanatory factors, both economics and demographics. We used
data from the Italian Household Budget Survey (ISTAT) in the period 1997 - 2004,
previously treated in order to group individuals in cohorts with the aim to
understand the dynamic of different factors contribution to inequality, using a
Pseudo - Panel approach.
________________________
Martina CELIDONI, PhD student in Economics and Management, University of
Padua.
Margherita GEROLIMETTO, Lecturer in Economics Statistics, University of
Venice.
Luca SALMASI, PhD student in Economics and Finance, University of Verona.