Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/150689
Authors: 
Spinath, Frank M.
Year of Publication: 
2008
Series/Report no.: 
SOEPpapers on Multidisciplinary Panel Data Research 142
Abstract: 
Understanding the sources of individual differences beyond social and economic effects has become a research area of growing interest in psychology, sociology, and economics. A quantitative genetic research design provides the necessary tools for this type of analysis. For a state-of-the-art approach, multigroup data is required. Household panel studies, such as BHPS (Understanding Society) in the UK or the SOEP in Germany, combined with an oversampling of twins, provide a powerful starting point since data from a reasonably large number of non-twin relatives is readily available. In addition to advances in our understanding of genetic and environmental influences on key variables in the social sciences, quantitative genetic analyses of target variables can guide molecular genetic research in the field of employment, earnings, health and satisfaction, as combined twin and sibling or parent data can help overcome serious caveats in molecular genetic research.
Subjects: 
Genetics
twins
psychology
sociology
economics
heritability
environment
multigroup design
BHPS
SOEP
JEL: 
B40
B49
C51
C83
Document Type: 
Working Paper

Files in This Item:
File
Size





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.