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Lorenz curves, inequality, and social welfare under changing population composition

dc.contributor.authorLam, David A.en_US
dc.date.accessioned2006-04-07T20:21:01Z
dc.date.available2006-04-07T20:21:01Z
dc.date.issued1988-04en_US
dc.identifier.citationLam, David (1988/04)."Lorenz curves, inequality, and social welfare under changing population composition." Journal of Policy Modeling 10(1): 141-162. <http://hdl.handle.net/2027.42/27348>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6V82-45GNXT8-19/2/3794f2906638395f3a65a8f7314c759den_US
dc.identifier.urihttps://hdl.handle.net/2027.42/27348
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=2472871&dopt=citationen_US
dc.description.abstractThis paper analyzes the effects of population growth and other demographic changes on the distribution of income by examining Lorenz curves and generalized Lorenz curves produced from combinations of income distributions. The paper shows that when subpopulations have equal means, a number of simple conditions govern the position of the Lorenz curve for the combined population relative to the Lorenz curves for the subpopulations. These conditions become less regular when the subpopulations have different means, and suggest that a combined distribution will almost never Lorenz-dominate an original distribution. Implications of the results for intertemporal comparisons of social welfare and inequality are discussed. The results are illustrated by comparing income distributions across generations in Brazil.en_US
dc.format.extent2417536 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleLorenz curves, inequality, and social welfare under changing population compositionen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelSocial Sciences (General)en_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumUniversity of Michigan, USAen_US
dc.identifier.pmid2472871en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/27348/1/0000373.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0161-8938(88)90038-5en_US
dc.identifier.sourceJournal of Policy Modelingen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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