Cited by 116Intergenerational and Educational Inequality StudiesAssisted Reproductive Technology and Twin PregnancyGenetic Associations and Epidemiology

The DOI matches its Crossref record; 99 of the 99 references it cites were found in a registry or an index.

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

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Kohler, Hans-Peter, Behrman, Jere R., Schnittker, Jason·2011·Biodemography and Social Biology

Abstract

Twins have been extensively used in economics, sociology, 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 literatures has been distinct.: The economic literature has been primarily concerned with the need to control for unobserved endowments--including as an important subset, genetic endowments--in analyses that attempt to establish the impact of one variable, 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 recognition 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 are the primary goal of behavioral genetic approaches. We apply this integrative ACE-beta approach to an illustrative investigation of the impact of schooling on several demographic outcomes such as fertility and nuptiality and health.

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Research works printed but not linked: 19

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Metadata

Authors
Kohler, H.-P., Behrman, J. R., & Schnittker, J.
Affiliations
University of Pennsylvania (US)
Corresponding author
Kohler, Hans-Peter
Venue
Biodemography and Social Biology
Published
2011-01-01
Volume
57
Issue
1
Pages
88-141
ISSN
  • 1948-5565 (ISSN-L)
  • 1948-5573
OpenAlex
W2013583398
Cited by
116
References
99
Citations by year
2026: 5 · 2025: 6 · 2024: 5 · 2023: 10 · 2022: 15 · 2021: 8 · 2020: 9 · 2019: 8 · 2018: 8 · 2017: 7 · 2016: 9 · 2015: 9 · 2014: 9 · 2013: 5 · 2012: 1
FWCI
18.21
Type
journal article
Language
en
Open access
Locations
  • Biodemography and Social Biology (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
  • ScholarlyCommons (University of Pennsylvania) (submittedVersion)
  • Scholarly Commons (University of Pennsylvania) (submittedVersion)
Funders
Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01HD043417, R01HD046144)
Topics
  • Social Sciences › Sociology and Political Science › Intergenerational and Educational Inequality Studies
  • Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Assisted Reproductive Technology and Twin Pregnancy
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
Keywords
twins, genetic endowment, heritability, causal effects, behavioral genetics, school education, fertility, nuptiality, health outcomes, social science methodology
MeSH terms
Data Interpretation, Statistical, Economics, Epidemiologic Methods, Genetics, Behavioral, Humans, Models, Genetic, Causality, Twin Studies as Topic

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