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On Polarization And Mobility: A Look At Polarization In The Wage–Career Profile In Italy

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  • Ambra Poggi
  • Jacques Silber

Abstract

This paper attempts to combine the analysis of wage polarization with that of wage mobility. Using the polarization index PG recently proposed by Deutsch et al. (2007) it shows that, when taking the identity of the individuals into account, a distinction can be made between a change over time in polarization that is the consequence of “structural mobility” (change over time in the overall, between‐ and within‐groups inequality) and a change in polarization that is the sole consequence of “exchange mobility” (changes over time in the ranks of the individuals). This approach is then applied to the 1985–2003 Work Histories Italian Panel (WHIP), an employer–employee linked panel database. The empirical investigation attempts to improve our understanding of labor market segmentation in Italy, whether the groups are defined on the basis of the individual wages or derived from other criteria such as white‐ versus blue‐collar workers.

Suggested Citation

  • Ambra Poggi & Jacques Silber, 2010. "On Polarization And Mobility: A Look At Polarization In The Wage–Career Profile In Italy," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 56(1), pages 123-140, March.
    • Handle: RePEc:bla:revinw:v:56:y:2010:i:1:p:123-140
    DOI: 10.1111/j.1475-4991.2009.00366.x
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    Cited by:

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    2. 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.
    3. Mauro Mussini, 2016. "On Measuring Income Polarization: An Approach Based On Regression Trees," Statistics in Transition New Series, Polish Statistical Association, vol. 17(2), pages 221-236, June.
    4. F. Clementi & A. L. Dabalen & V. Molini & F. Schettino, 2017. "When the Centre Cannot Hold: Patterns of Polarization in Nigeria," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 63(4), pages 608-632, December.
    5. Clementi,F. & Fabiani,M. & Molini,V., 2018. "The devil is in the details : growth, polarization, and poverty reduction in Africa in the past two decades," Policy Research Working Paper Series 8494, The World Bank.
    6. Mussini Mauro, 2016. "On Measuring Income Polarization: An Approach Based on Regression Trees," Statistics in Transition New Series, Polish Statistical Association, vol. 17(2), pages 221-236, June.
    7. Mauro Mussini, 2016. "On Measuring Income Polarization: An Approach Based On Regression Trees," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 17(2), pages 221-236, June.
    8. Jones, Andrew M. & Rice, Nigel & Robone, Silvana & Dias, Pedro Rosa, 2011. "Inequality and polarisation in health systems' responsiveness: A cross-country analysis," Journal of Health Economics, Elsevier, vol. 30(4), pages 616-625, July.
    9. Schettino, Francesco & Scicchitano, Sergio & Suppa, Domenico, 2024. "COVID 19 and Wage Polarization: A task based approach," GLO Discussion Paper Series 1398, Global Labor Organization (GLO).
    10. Ricci, Chiara Assunta & Scicchitano, Sergio, 2021. "The role of Great Recession on income polarization by population groups," GLO Discussion Paper Series 766, Global Labor Organization (GLO).
    11. Chiara Assunta Ricci & Sergio Scicchitano, 2021. "Decomposing changes in income polarization by population group: what happened during the crisis?," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 38(1), pages 235-259, April.

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    More about this item

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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