A new semiparametric approach to analysing conditional income distributions

Alexander Sohn, Nadja Klein and Thomas Kneib

In this paper we explore the application of structured additive distributional regression for the analysis of conditional income distributions in Germany following the reunification. Using a bootstrapped Kolmogorov-Smirnov test we find that conditional personal income distributions can generally be modelled using the three parameter Dagum distribution. Additionally our results hint at an even more pronounced effect of skill-biased technological change than can be observed by standard mean regression.

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Year of publication:	2014
Authors:	Sohn, Alexander ; Klein, Nadja ; Kneib, Thomas
Publisher:	Berlin : DIW
Subject:	Einkommensverteilung \| Income distribution \| Nationale Einheit \| National unity \| Nichtparametrisches Verfahren \| Nonparametric statistics \| Deutschland \| Germany

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Extent:	Online-Ressource (45 S.) graph. Darst.
Series:	SOEP papers on multidisciplinary panel data research / German Socio-Economic Panel Study (SOEP), DIW Berlin. - Berlin : DIW, ISSN 1864-6689, ZDB-ID 2403710-2. - Vol. 676
Type of publication:	Book / Working Paper
Type of publication (narrower categories):	Graue Literatur ; Non-commercial literature
Language:	English
Notes:	Systemvoraussetzung: Acrobat Reader
Other identifiers:	hdl:10419/99957 [Handle]
Classification:	C13 - Estimation ; C21 - Cross-Sectional Models; Spatial Models ; D31 - Personal Income, Wealth and Their Distributions ; J31 - Wage Level and Structure; Wage Differentials by Skill, Training, Occupation, etc
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10010380509