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dc.contributor.authorHolzmann, Hajoen_US
dc.contributor.authorVollmer, Sebastianen_US
dc.contributor.authorWeisbrod, Julianen_US
dc.date.accessioned2007-09-18en_US
dc.date.accessioned2009-08-07T11:41:23Z-
dc.date.available2009-08-07T11:41:23Z-
dc.date.issued2007en_US
dc.identifier.urihttp://hdl.handle.net/10419/27452-
dc.description.abstractIn this paper we analyze the world´s cross-national distribution of income and its evolution from 1970 to 2003. We argue that modeling this distribution by a finite mixture and investigating its number of components has advantages over nonparametric inference concerning the number of modes. In particular, the number of components of the distribution does not depend on the scale chosen (original or logarithmic), whereas the number of modes does. Instead of so-called twin-peaks, we find that the distribution appears to have only two components in 1970-1975, but consists of three components from 1976 onwards, a low, average and high mean-income group, with group means diverging over time. Here we apply recently developed modified likelihood ratio tests for the number of components in a finite mixture. The intra distributional dynamics are investigated in detail using posterior probability estimates.en_US
dc.language.isoengen_US
dc.publisherIbero-Amerika-Inst. für Wirtschaftsforschung Göttingenen_US
dc.relation.ispartofseriesDiscussion papers // Ibero America Institute for Economic Research 162en_US
dc.subject.jelC12en_US
dc.subject.jelO11en_US
dc.subject.jelO47en_US
dc.subject.jelF01en_US
dc.subject.ddc330en_US
dc.subject.stwEinkommensverteilungen_US
dc.subject.stwDisparitätsmaßen_US
dc.subject.stwStatistische Verteilungen_US
dc.subject.stwNichtparametrisches Verfahrenen_US
dc.subject.stwWelten_US
dc.titleTwin peaks or three components?: analyzing the world's cross-country distribution of incomeen_US
dc.typeWorking Paperen_US
dc.identifier.ppn543862623en_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungen-
Appears in Collections:Discussion Papers, IAI, Universität Göttingen

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