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Trends in Income Distribution in Italy: A Non-Parametric 90 and a Semi-Parametric Analysis

Author

Listed:
  • Maria Grazia Pittau

    (University of Rome “La Sapienza”)

  • Roberto Zelli

    (University of Rome “La Sapienza”)

Abstract

Using kernel density estimation and mixture models, household size-adjusted income distributions in Italy are cross-sectionally examined over the period 1987-2002. A non-parametric test is used to assess the number of modes in the distributions. Evidence shows that income tends to cluster around more than one point. This gives good reason to model the shapes by a finite mixture density with an appropriate choice of components which represent homogeneous sub-populations. Effects of social and demographic factors on the probability of households to belong to one of the components of the mixture are identified by a compositional data analysis.

Suggested Citation

  • Maria Grazia Pittau & Roberto Zelli, 2006. "Trends in Income Distribution in Italy: A Non-Parametric 90 and a Semi-Parametric Analysis," Journal of Income Distribution, Ad libros publications inc., vol. 15(I), pages 90-118, December.
  • Handle: RePEc:jid:journl:y:2006:v:15:i:i:p:90-118
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    Cited by:

    1. Fabio Clementi & Francesco Schettino, 2013. "Income polarization in Brazil, 2001-2011: A distributional analysis using PNAD data," Economics Bulletin, AccessEcon, vol. 33(3), pages 1796-1815.
    2. Fishman, Ezra & Kimhi, Ayal, 2013. "Is the Israeli Labor Market Segmented? Revisiting the Mixture Regression Model," Discussion Papers 164512, Hebrew University of Jerusalem, Department of Agricultural Economics and Management.
    3. García-Fernández, Rosa María & Gottlieb, Daniel & Palacios-González, Frederico, 2013. "Polarization, growth and social policy in the case of Israel, 1997-2008," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 7, pages 1-40.
    4. Riccardo Massari & Maria Pittau & Roberto Zelli, 2009. "A dwindling middle class? Italian evidence in the 2000s," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 7(4), pages 333-350, December.

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