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Genetic information, obesity, and labor market outcomes

dc.contributor.authorNorton, Edward C.en_US
dc.contributor.authorHan, Eunaen_US
dc.date.accessioned2008-08-27T20:05:23Z
dc.date.available2009-11-06T18:12:57Zen_US
dc.date.issued2008-09en_US
dc.identifier.citationNorton, Edward C.; Han, Euna (2008). "Genetic information, obesity, and labor market outcomes." Health Economics 17(9): 1089-1104. <http://hdl.handle.net/2027.42/60913>en_US
dc.identifier.issn1057-9230en_US
dc.identifier.issn1099-1050en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/60913
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=18615836&dopt=citationen_US
dc.description.abstractEconomists have argued that obesity may lead to worse labor market outcomes, especially for women. Empirical methods to test this hypothesis have not thus far adequately controlled for the endogeneity of obesity. We use variation in genotype to predict variation in phenotype (obesity). Genetic information from specific genes linked to obesity in the biomedical literature provides strong exogenous variation in the body mass index and thus can be used as instrumental variables. These genes predict swings in weight of between 5 and 20 pounds for persons between five and six feet tall. We use additional genetic information to control for omitted variables correlated with both obesity and labor market outcomes. We analyzed data from the third wave of the Add Health data set, when respondents are in their mid-twenties. Results from our preferred models show no effect of lagged obesity on the probability of employment or on wages, for either men or women. This paper shows the potential of using genetic information in social sciences. Copyright © 2008 John Wiley & Sons, Ltd.en_US
dc.format.extent154459 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.publisherJohn Wiley & Sons, Ltd.en_US
dc.subject.otherLife and Medical Sciencesen_US
dc.subject.otherEpidemiology, Biostatistics and Public Healthen_US
dc.titleGenetic information, obesity, and labor market outcomesen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelEconomicsen_US
dc.subject.hlbsecondlevelMedicine (General)en_US
dc.subject.hlbsecondlevelStatistics and Numeric Dataen_US
dc.subject.hlbsecondlevelPublic Healthen_US
dc.subject.hlbtoplevelBusinessen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.subject.hlbtoplevelScienceen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Health Management and Policy, University of Michigan, Ann Arbor, MI, USA ; Department of Economics, University of Michigan, Ann Arbor, MI, USA ; Department of Health Management and Policy, 109 S. Observatory St., University of Michigan, Ann Arbor, MI 48109-2029, USAen_US
dc.contributor.affiliationotherInstitute for Health Research and Policy, University of Illinois at Chicago, Chicago, IL, USAen_US
dc.identifier.pmid18615836en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/60913/1/1383_ftp.pdf
dc.identifier.doihttp://dx.doi.org/10.1002/hec.1383en_US
dc.identifier.sourceHealth Economicsen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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