Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/10419/20415
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dc.creatorWinkelmann, Rainer-
dc.creatorBoes, Stefan-
dc.date2004-
dc.date.accessioned2013-10-16T07:10:25Z-
dc.date.available2013-10-16T07:10:25Z-
dc.date.issued2013-10-16-
dc.identifierhttp://hdl.handle.net/10419/20415-
dc.identifierppn:389180742-
dc.identifier.urihttp://koha.mediu.edu.my:8181/xmlui/handle/10419/20415-
dc.descriptionEmpirical studies on the relationship between income and happiness commonly use standard ordered response models, the most well-known representatives being the ordered logit and the ordered probit. However, these models restrict the marginal probability effects by design, and therefore limit the analysis of distributional aspects of a change in income, that is, the study of whether the income effect depend on a person's happiness. In this paper we pinpoint the shortcomings of standard models and propose two alternatives, namely generalized threshold and sequential models. With data of two waves of the German Socio- Economic Panel, 1984 and 1997, we show that the more general models yield different marginal probability effects than standard models.-
dc.languageeng-
dc.publisher-
dc.relationIZA Discussion paper series 1175-
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungen-
dc.subjectI31-
dc.subjectC25-
dc.subjectddc:330-
dc.subjectordered response models-
dc.subjectmarginal effects-
dc.subjectsubjective well-being-
dc.subjectEinkommen-
dc.subjectLebensqualität-
dc.subjectLebensstandard-
dc.subjectSchätzung-
dc.subjectDeutschland-
dc.subjectLebenszufriedenheit-
dc.titleIncome and Happiness : New Results from Generalized Threshold and Sequential Models-
dc.typedoc-type:workingPaper-
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