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SEMIPARAMETRIC MODELING OF AGE-SPECIFIC VARIATIONS IN INCOME RELATED HEALTH INEQUALITIES

Authors

  • Martin Siegel,

    Corresponding author
    1. Department of Health Care Management, Technische Universität Berlin, Berlin, Germany
    2. Institute of Health Economics and Clinical Epidemiology, University Hospital of Cologne, Cologne, Germany
    • Correspondence to: Department of Health Care Management, Technische Universität Berlin, Strasse des 17. Juni 135, 10623 Berlin, Germany. E-mail: martin.siegel@tu-berlin.de

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  • Karl Mosler

    1. Department of Economic and Social Statistics, University of Cologne, Cologne, Germany
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ABSTRACT

A Gini-type concentration index is combined with semiparametric estimation techniques to derive a varying inequality index that works without a priori sample stratification. The new approach is used to investigate the question how income inequalities and income-related gradients in the distribution of health vary across age groups. With health data from the 2005 survey of the German microcensus, it is demonstrated that significant inequalities to the detriment of the deprived evolve in early mid-life and reach their maximum around the age for retirement. Some leveling is found for the elderly. Copyright © 2013 John Wiley & Sons, Ltd.

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