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Semi-parametric estimation of income mobility with D‑vines using bivariate penalised splines

Author

Listed:
  • Christian Schellhase

    (Bielefeld University)

  • Torben Kuhlenkasper

    (Pforzheim University)

Abstract

The article evaluates the distribution of income mobility in Germany. We employ official data from the German Federal Employment Agency and compare relative changes in income and their serial dependency over time during the 1980s, 1990s and 2000s to obtain both a cross-sectional and a longitudinal perspective with an intra-generational focus. The data set is separated with respect to the education of the individuals and job changes. Nonparametric smoothing techniques are applied for the modelling of the multivariate distribution of individual income. We detect very low income mobility for the low-educated workforce but significantly higher income mobility for highly educated individuals.

Suggested Citation

  • Christian Schellhase & Torben Kuhlenkasper, 2017. "Semi-parametric estimation of income mobility with D‑vines using bivariate penalised splines," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 11(2), pages 107-134, October.
    • Handle: RePEc:spr:astaws:v:11:y:2017:i:2:d:10.1007_s11943-017-0205-9
    DOI: 10.1007/s11943-017-0205-9
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    References listed on IDEAS

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