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Intragenerational Mobility in Italy: a Non-parametric Estimates

Author

Listed:
  • Irene Brunetti
  • Davide Fiaschi

Abstract

The paper proposes a novel methodology based on a non-parametric method to estimate intragenerational income mobility. We apply it to the analysis of mobility of a sample of Italian individuals (between 16 and 65 years old) from the Survey on Household Income and Wealth (SHIW) by the Bank of Italy in the period 1987-2010. First, the linear specification of the Markovian model is estimated removing the assumption of no serial correlation in the error term suggesting a low level of income mobility. Second, a non-linear specification of Markovian model is estimated providing both "local" and global measures of income mobility. Income mobility appears to be low; in particular it reaches a minimum in the middle of income distribution and maximum values at the extreme bounds, with an income elasticity ranging from 0.4 to 0.8 in the relevant range of income (0.5-2). Moreover, from 1987-1998 to 2000-2010 income mobility has increased over time, in particular in the middle of distribution.

Suggested Citation

  • Irene Brunetti & Davide Fiaschi, 2015. "Intragenerational Mobility in Italy: a Non-parametric Estimates," Discussion Papers 2015/204, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    • Handle: RePEc:pie:dsedps:2015/204
    Note: ISSN 2039-1854
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    File URL: https://www.ec.unipi.it/documents/Ricerca/papers/2015-204.pdf
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    References listed on IDEAS

    as
    1. Roland Benabou & Efe A. Ok, 2000. "Mobility as Progressivity: Ranking Income Processes According to Equality of Opportunity," Working Papers 150, Princeton University, School of Public and International Affairs, Discussion Papers in Economics.
    2. Adolfo Maza & María Hierro & José Villaverde, 2010. "Measuring intra-distribution income dynamics: an application to the European regions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 45(2), pages 313-329, October.
    3. Quah, Danny, 1997. "Empirics for growth and distribution," LSE Research Online Documents on Economics 2138, London School of Economics and Political Science, LSE Library.
    4. Simon N. Wood, 2011. "Fast stable restricted maximum likelihood and marginal likelihood estimation of semiparametric generalized linear models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 73(1), pages 3-36, January.
    5. Jenkins, Stephen P., 2011. "Changing Fortunes: Income Mobility and Poverty Dynamics in Britain," OUP Catalogue, Oxford University Press, number 9780199226436.
    6. Danny Quah, 1997. "Empirics for Growth and Distribution," CEP Discussion Papers dp0324, Centre for Economic Performance, LSE.
    7. Quah, Danny, 1997. "Empirics for Growth and Distribution: Stratification, Polarization, and Convergence Clubs," CEPR Discussion Papers 1586, C.E.P.R. Discussion Papers.
    8. Tito Boeri & Andrea Brandolini, 2004. "The Age of Discontent: Italian Households at the Beginning of the Decade," Giornale degli Economisti, GDE (Giornale degli Economisti e Annali di Economia), Bocconi University, vol. 63(3-4), pages 449-487, December.
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    Keywords

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    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • J60 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - General
    • J62 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Job, Occupational and Intergenerational Mobility; Promotion

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