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Regression-based approaches for the decomposition of income inequality in Italy, 1998-2008

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  • Rosalba Manna
  • Andrea Regoli

    ()
    (University of Naples “Parthenope”
    University of Naples “Parthenope”)

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    Abstract

    Because of the high unemployment rate and the low chances to get a permanent job, young people in Italy face major problems in entering the labour market. In this paper, we address the issue of the labour market entry of young Italian workers by using a sample dataset of the new Compulsory Communication data for the period 2008 - 2010. We ask whether there are some individual characteristics which are more favourable for openended contracts. Then, we analyse how different types of temporary jobs have different probability of transforming into permanent ones. Finally, we estimate a survival model on the duration of temporary jobs.

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    File URL: http://www.istat.it/it/files/2012/10/primocapitolo.pdf
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    Bibliographic Info

    Article provided by ISTAT - Italian National Institute of Statistics - (Rome, ITALY) in its journal Rivista di Statistica Ufficiale.

    Volume (Year): 14 (2012)
    Issue (Month): 1 (October)
    Pages: 5-18

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    Handle: RePEc:isa:journl:v:14:y:2012:i:1:p:5-18

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    Related research

    Keywords: Inequality decomposition; regression-based methods; Shapley value; panel data models;

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    References

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    1. Mercedes Sastre & Alain Trannoy, 2002. "Shapley inequality decomposition by factor components: Some methodological issues," Journal of Economics, Springer, vol. 9(1), pages 51-89, December.
    2. Guanghua Wan & Ming Lu & Zhao Chen, 2007. "Globalization And Regional Income Inequality: Empirical Evidence From Within China," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 53(1), pages 35-59, 03.
    3. Jonathan Morduch & Terry Sicular, 1998. "Rethinking Inequality Decomposition, with Evidence from Rural China," Harvard Institute of Economic Research Working Papers 1831, Harvard - Institute of Economic Research.
    4. Wan, Guanghua, 2004. "Accounting for income inequality in rural China: a regression-based approach," Journal of Comparative Economics, Elsevier, vol. 32(2), pages 348-363, June.
    5. Francesco Devicienti, 2010. "Shapley-value decompositions of changes in wage distributions: a note," Journal of Economic Inequality, Springer, vol. 8(1), pages 35-45, March.
    6. Shorrocks, A F, 1982. "Inequality Decomposition by Factor Components," Econometrica, Econometric Society, vol. 50(1), pages 193-211, January.
    7. Claudio Quintano & Rosalia Castellano & Andrea Regoli, 2009. "Evolution and decomposition of income inequality in Italy, 1991–2004," Statistical Methods and Applications, Springer, vol. 18(3), pages 419-443, August.
    8. Wan, Guanghua & Zhou, Zhangyue, 2004. "Income Inequality in Rural China: Regression-based Decomposition Using Household Data," Working Paper Series UNU-WIDER Research Paper , World Institute for Development Economic Research (UNU-WIDER).
    9. Ramani Gunatilaka & Duangkamon Chotikapanich, 2009. "Accounting For Sri Lanka'S Expenditure Inequality 1980-2002: Regression-Based Decomposition Approaches," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 55(4), pages 882-906, December.
    10. Shorrocks, Anthony F, 1984. "Inequality Decomposition by Population Subgroups," Econometrica, Econometric Society, vol. 52(6), pages 1369-85, November.
    11. Riccardo Massari & Maria Pittau & Roberto Zelli, 2009. "A dwindling middle class? Italian evidence in the 2000s," Journal of Economic Inequality, Springer, vol. 7(4), pages 333-350, December.
    12. Martina Celidoni & Isabella Procidano & Luca Salmasi, 2011. "Determinants of inequality in Italy: An approach based on the Shapley decomposition," Review of Applied Socio-Economic Research, Pro Global Science Association, vol. 1(1), pages 63-69, July.
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