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Poverty and life cycle effects: A nonparametric analysis for Germany

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  • Stich, Andreas

Abstract

Most empirical studies on poverty consider the extent of poverty either for the entire society or for separate groups like elderly people.However, these papers do not show what the situation looks like for persons of a certain age. In this paper poverty measures depending on age are derived using the joint density of income and age. The density is nonparametrically estimated by weighted Gaussian kernel density estimation. Applying the conditional density of income to several poverty measures provides an insight into the extent of poverty over the life cycle. Furthermore confidence bands for the poverty age profiles were computed.

Suggested Citation

  • Stich, Andreas, 1996. "Poverty and life cycle effects: A nonparametric analysis for Germany," Discussion Papers in Econometrics and Statistics 5/96, University of Cologne, Institute of Econometrics and Statistics.
    • Handle: RePEc:zbw:ucdpse:596
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    1. Merz, Joachim & Garner, Thesia & Smeeding, Timothy M. & Faik, Jürgen & Johnson, David, 1994. "Two Scales, One Methodology - Expenditure Based Equivalence Scales for the United States and Germany," MPRA Paper 7233, University Library of Munich, Germany.
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    1. Andreas Stich, 1999. "On Rich Cities and Boring Places," Urban Studies, Urban Studies Journal Limited, vol. 36(10), pages 1649-1660, September.

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