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 echnique 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.
Inequality in Italy: an approach based on the Shapley valuedecomposition
SALMASI, Luca
2009-01-01
Abstract
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 echnique 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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.