Metodi non parametrici nell'analisi della distribuzione del reddito: problemi empirici ed aspetti metodologici

Pier Luigi Conti (), Maria Grazia Pittau and Roberto Zelli
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Pier Luigi Conti: Università di Roma "La Sapienza"

Rivista di Politica Economica, 2006, vol. 96, issue 3, 195-242

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.

JEL-codes: C14 D31 (search for similar items in EconPapers)
Date: 2006
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Citations: View citations in EconPapers (6)

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