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dc.contributor.authorBöckerman, Petri
dc.contributor.authorCawley, John
dc.contributor.authorViinikainen, Jutta
dc.contributor.authorLehtimäki, Terho
dc.contributor.authorRovio, Suvi
dc.contributor.authorSeppälä, Ilkka
dc.contributor.authorPehkonen, Jaakko
dc.contributor.authorRaitakari, Olli
dc.date.accessioned2019-01-14T12:27:15Z
dc.date.available2019-01-14T12:27:15Z
dc.date.issued2019
dc.identifier.citationBöckerman, P., Cawley, J., Viinikainen, J., Lehtimäki, T., Rovio, S., Seppälä, I., Pehkonen, J., & Raitakari, O. (2019). The effect of weight on labor market outcomes : An application of genetic instrumental variables. <i>Health Economics</i>, <i>28</i>(1), 65-77. <a href="https://doi.org/10.1002/hec.3828" target="_blank">https://doi.org/10.1002/hec.3828</a>
dc.identifier.otherCONVID_28279829
dc.identifier.otherTUTKAID_78934
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/62478
dc.description.abstractThis paper contributes to the literature on the labor market consequences of obesity by using a novel instrument: genetic risk score, which reflects the predisposition to higher body mass index (BMI) across many genetic loci. We estimate instrumental variable models of the effect of BMI on labor market outcomes using Finnish data that have many strengths, for example, BMI that is measured rather than self‐reported, and data on earnings and social income transfers that are from administrative tax records and are thus free of the problems associated with nonresponse, reporting error or top coding. The empirical results are sensitive to whether we use a narrower or broader genetic risk score, and to model specification. For example, models using the narrower genetic risk score as an instrument imply that a one‐unit increase in BMI is associated with 6.9% lower wages, 1.8% fewer years employed, and a 3 percentage point higher probability of receiving any social income transfers. However, when we use a newer, broader genetic risk score, we cannot reject the null hypothesis of no effect. Future research using genetic risk scores should examine the sensitivity of their results to the risk score used.fi
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherWiley
dc.relation.ispartofseriesHealth Economics
dc.rightsCC BY-NC 4.0
dc.subject.othergenetiset tekijät
dc.subject.otherearnings
dc.subject.othersocial income transfers
dc.titleThe effect of weight on labor market outcomes : An application of genetic instrumental variables
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-201901101153
dc.contributor.laitosKauppakorkeakoulufi
dc.contributor.laitosSchool of Business and Economicsen
dc.contributor.oppiaineBasic or discovery scholarshipfi
dc.contributor.oppiaineTaloustiedefi
dc.contributor.oppiaineBasic or discovery scholarshipen
dc.contributor.oppiaineEconomicsen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.date.updated2019-01-10T16:15:05Z
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.format.pagerange65-77
dc.relation.issn1057-9230
dc.relation.numberinseries1
dc.relation.volume28
dc.type.versionpublishedVersion
dc.rights.copyright© 2018 The Authors.
dc.rights.accesslevelopenAccessfi
dc.relation.grantnumber293120 TAY
dc.subject.ysososiaaliturva
dc.subject.ysotyöllisyys
dc.subject.ysoansiotulot
dc.subject.ysoperinnöllisyystiede
dc.subject.ysotulonsiirrot
dc.subject.ysolihavuus
dc.subject.ysoylipaino
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p3285
jyx.subject.urihttp://www.yso.fi/onto/yso/p6357
jyx.subject.urihttp://www.yso.fi/onto/yso/p13961
jyx.subject.urihttp://www.yso.fi/onto/yso/p5147
jyx.subject.urihttp://www.yso.fi/onto/yso/p3475
jyx.subject.urihttp://www.yso.fi/onto/yso/p823
jyx.subject.urihttp://www.yso.fi/onto/yso/p826
dc.rights.urlhttps://creativecommons.org/licenses/by-nc/4.0/
dc.relation.doi10.1002/hec.3828
dc.relation.funderSuomen Akatemiafi
dc.relation.funderResearch Council of Finlanden
jyx.fundingprogramStrategisen tutkimuksen ohjelmat STN, SAfi
jyx.fundingprogramStrategic research programmes, AoFen
jyx.fundinginformationThe Young Finns Study has been financially supported by the Academy of Finland: Grants 286284, 134309 (Eye), 126925, 121584, 124282, 129378 (Salve), 117787 (Gendi), and 41071 (Skidi); the Social Insurance Institution of Finland; Competitive State Research Financing of the Expert Responsibility area of Kuopio, Tampere and Turku University Hospitals (Grant X51001); Juho Vainio Foundation; Paavo Nurmi Foundation; Finnish Foundation for Cardiovascular Research; Finnish Cultural Foundation; Tampere Tuberculosis Foundation; Emil Aaltonen Foundation; Yrjö Jahnsson Foundation; Signe and Ane Gyllenberg Foundation; Diabetes Research Foundation of Finnish Diabetes Association; and EU Horizon 2020 (Grant 755320 for TAXINOMISIS). The use of linked data is supported by the Palkansaaja Foundation. Jutta Viinikainen and Jaakko Pehkonen acknowledge the financial support from the Yrjö Jahnsson Foundation (Grants 6646 and 6664). Viinikainen also thanks OP Group Research Foundation for financial support. Petri Böckerman thanks the Strategic Research Council funding for the project Work, Inequality, and Public Policy (293120). John Cawley thanks the Robert Wood Johnson Foundation for an Investigator Award in Health Policy Research. We thank Barton Willage for research assistance. Finally, we also thank two anonymous reviewers, the seminar participants at the EALE, IIPF 2018, Oulu Business School, and the VATT seminar and Jani‐Petri Laamanen for helpful comments.
dc.type.okmA1


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