Social Science Methods for Twins Data: Integrating Causality, Endowments and Heritability

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dc.contributor.authorKohler, Hans-Peter
dc.contributor.authorBehrman, Jere R
dc.contributor.authorSchnittker, Jason
dc.contributor.authorKohler, Hans-Peter
dc.contributor.authorBehrman, Jere R
dc.contributor.authorSchnittker, Jason
dc.date2023-05-17T03:59:35.000
dc.date.accessioned2023-05-23T00:35:58Z
dc.date.available2023-05-23T00:35:58Z
dc.date.issued2010-01-01
dc.date.submitted2010-08-24T07:40:36-07:00
dc.description.abstractTwins have been extensively used in both economic and behavioral genetics to investigate the role of genetic endowments on a broad range of social, demographic and economic outcomes. However, the focus in these two literatures has been distinct: the economic literature has been primarily concerned with the need to control for unobserved endowments—including as an im¬portant subset, genetic endowments—in analyses that attempt to establish the impact of one vari¬able, often schooling, on a variety of economic, demographic and health outcomes. Behavioral genetic analyses have mostly been concerned with decomposing the variation in the outcomes of interest into genetic, shared environmental and non-shared environmental components, with recent multivariate analyses investigating the contributions of genes and the environment to the correlation and causation between variables. Despite the fact that twins studies and the recogni¬tion of the role of endowments are central to both of these literatures, they have mostly evolved independently. In this paper we develop formally the relationship between the economic and behavioral genetic approaches to the analyses of twins, and we develop an integrative approach that combines the identification of causal effects, which dominates the economic literature, with the decomposition of variances and covariances into genetic and environmental factors that is the primary goal of behavioral genetic approaches. We apply this new integrative approach to an illustrative investigation of the impact of schooling on several demographic outcomes such as fertility and nuptiality and health.
dc.description.commentsKohler, Hans-Peter, Jere R. Behrman and Jason Schnittker. 2010. "Social Science Methods for Twins Data: Integrating Causality, Endowments and Heritability." PSC Working Paper Series, PSC 10-06.
dc.identifier.urihttps://repository.upenn.edu/handle/20.500.14332/44319
dc.legacy.articleid1020
dc.legacy.fulltexturlhttps://repository.upenn.edu/cgi/viewcontent.cgi?article=1020&context=psc_working_papers&unstamped=1
dc.source.issue21
dc.source.journalPSC Working Paper Series
dc.source.statuspublished
dc.subject.otherCausality
dc.subject.otherDanish Twin Registry
dc.subject.otherGenetic endowments
dc.subject.otherHeritability
dc.subject.otherMethods
dc.subject.otherMinnesota Twins Registry
dc.subject.otherTwins
dc.subject.otherDemography, Population, and Ecology
dc.subject.otherSocial and Behavioral Sciences
dc.subject.otherSociology
dc.titleSocial Science Methods for Twins Data: Integrating Causality, Endowments and Heritability
dc.typeWorking Paper
digcom.contributor.authorisAuthorOfPublication|email:HPKOHLER@POP.UPENN.EDU|institution:University of Pennsylvania, Dept. of Soc|Kohler, Hans-Peter
digcom.contributor.authorisAuthorOfPublication|email:jbehrman@econ.upenn.edu|institution:University of Pennsylvania|Behrman, Jere R
digcom.contributor.authorisAuthorOfPublication|email:jschnittker@soc.upenn.edu|institution:University of Pennsylvania|Schnittker, Jason
digcom.identifierpsc_working_papers/21
digcom.identifier.contextkey1470417
digcom.identifier.submissionpathpsc_working_papers/21
digcom.typeworkingpaper
dspace.entity.typePublication
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relation.isAuthorOfPublication70ef0bef-f4f0-4de6-9391-282d39bb43ff
relation.isAuthorOfPublicationc115b32d-5b65-46a1-af32-f599fa86abc6
relation.isAuthorOfPublication.latestForDiscovery0a20ed9f-ad62-430a-b7b5-5f9b722822be
upenn.schoolDepartmentCenterPSC Working Paper Series
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