Maria Grazia Pittau
Sapienza Universita' di Roma
Metodi non parametrici nell'analisi della distribuzione del reddito: problemi empirici ed aspetti metodologici
Abstract
This paper
provides a survey of the non parametric approaches applied to
income distribution analysis, focusing on kernel method and, in
particular, on the choice of the bandwidth.
To account for sample design and data sparseness, weighted
kernel density with an adaptive bandwidth is suggested. Moreover,
the assessment of SIgnificant of ZERo crossings of derivatives
helps determine which features in the family of empirical
distributions are statistically significant for given bandwidths.
The SiZer approach has been modified for adaptive kernel
estimation procedures.
Empirical evidence for household income distribution in Italy
over the period 1989-2002 is emphasized.
Rivista di Politica Economica, V-VI, 195--242, 2006.