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17-07-2017 | Originalveröffentlichung

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

Semi-parametrische Schätzung von Einkommensmobilität mit D‑vines unter der Verwendung von bivariaten penalisierten Splines

Authors: Christian Schellhase, Torben Kuhlenkasper

Published in: AStA Wirtschafts- und Sozialstatistisches Archiv | Issue 2/2017

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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.

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Title: Semi-parametric estimation of income mobility with D‑vines using bivariate penalised splines
Semi-parametrische Schätzung von Einkommensmobilität mit D‑vines unter der Verwendung von bivariaten penalisierten Splines
Authors: Christian Schellhase
Torben Kuhlenkasper
Publication date: 17-07-2017
Publisher: Springer Berlin Heidelberg
Published in: AStA Wirtschafts- und Sozialstatistisches Archiv / Issue 2/2017
Print ISSN: 1863-8155
Electronic ISSN: 1863-8163
DOI: https://doi.org/10.1007/s11943-017-0205-9

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