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dc.contributor.authorStich, Andreasen_US
dc.date.accessioned2011-06-14T15:32:26Z-
dc.date.available2011-06-14T15:32:26Z-
dc.date.issued1997en_US
dc.identifier.urihttp://hdl.handle.net/10419/45804-
dc.description.abstractMost 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.en_US
dc.language.isoengen_US
dc.publisherUniv., Seminar für Wirtschafts- und Sozialstatistik Kölnen_US
dc.relation.ispartofseriesDiscussion papers in statistics and econometrics 5/96 [rev.]en_US
dc.subject.ddc330en_US
dc.titlePoverty and life cycle effects: A nonparametric analysis for Germanyen_US
dc.typeWorking Paperen_US
dc.identifier.ppn661930092en_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen_US
dc.identifier.repecRePEc:zbw:ucdpse:596r-
Appears in Collections:Discussion Papers in Statistics and Econometrics, Seminar für Wirtschafts- und Sozialstatistik, Universität Köln

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