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Exploring Shorrocks Mobility Indices Using European Data

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  • Paul Gregg
  • Claudia Vittori

Abstract

Starting from the approach proposed by Schluter and Trede (2003) we develop a continuous and alternative measure of mobility which first, allows to identify mobility over different parts of the earnings distribution and second, to distinguish between mobility that tends to reduce or increase the level of permanent inequality. This paper focuses on four European countries, Denmark, Germany, Spain and the UK. In a global perspective, mobility in the short and long-run analysis tends to equalize the level of permanent inequality. Six year changes comparing the average between 1994 and 1995 with the average of 2000 and 2001, suggests that Denmark has the highest mobility mainly almost entirely from higher mobility at the middle and top of the distribution. Germany has the lowest overall mobility. Overall mobility over six years produces only a modest reduction in inequality patterns (5 to 10%) adopting the Gini index and there is no clear correlation between mobility and inequality levels. Exploiting the decomposability of the mobility index developed, we carry out a local analysis by earnings quintiles which draw some general key facts. It emerges that it is the bottom 20 percent of the earnings distribution that makes the largest contribution to the global mobility pattern and that mobility, with the exception of Denmark, does not lead to clear convergence to the mean but at points around 0.7-0.8 and 1.5 to 2 times the mean.

Suggested Citation

  • Paul Gregg & Claudia Vittori, 2008. "Exploring Shorrocks Mobility Indices Using European Data," The Centre for Market and Public Organisation 08/206, The Centre for Market and Public Organisation, University of Bristol, UK.
  • Handle: RePEc:bri:cmpowp:08/206
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    File URL: http://www.bristol.ac.uk/cmpo/publications/papers/2008/wp206.pdf
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    References listed on IDEAS

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    Cited by:

    1. Denisa Maria Sologon & O'Donoghue, Cathal, 2011. "Earnings Mobility in Europe: 1994-2001 : Do more flexible labour markets experience a higher earnings mobility?," MERIT Working Papers 2011-070, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    2. Ronald Bachmann & Peggy Bechara & Sandra Schaffner, 2012. "Wage Inequality and Wage Mobility in Europe," Ruhr Economic Papers 0386, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    3. Ronald Bachmann & Peggy Bechara & Sandra Schaffner, 2016. "Wage Inequality and Wage Mobility in Europe," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 62(1), pages 181-197, March.
    4. Denisa Maria Sologon & Cathal O'Donoghue, 2009. "Equalizing or Disequalizing Lifetime Earnings Differentials?: Earnings Mobility in the EU: 1994-2001," SOEPpapers on Multidisciplinary Panel Data Research 251, DIW Berlin, The German Socio-Economic Panel (SOEP).
    5. Sieds, 2011. "Complete Volume LXV n.1 2011," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 65(1), pages 1-181.
    6. Paul Gregg & Rosanna Scutella & Claudia Vittori, 2012. "Earnings Mobility and Inequality: An Integrated Framework," The Centre for Market and Public Organisation 12/295, The Centre for Market and Public Organisation, University of Bristol, UK.
    7. repec:zbw:rwirep:0386 is not listed on IDEAS

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    More about this item

    Keywords

    Earnings; mobility; inequality;
    All these keywords.

    JEL classification:

    • J3 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs
    • J62 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Job, Occupational and Intergenerational Mobility; Promotion

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