Economists and social scientists have debated the relative importance of nature (one’s genes) and nurture (one’s environment) for decades, if not centuries. This debate can now be informed by the ready availability of genetic data in a growing number of social science datasets. This paper explores the potential uses of genetic data in economics, with … Read more
The Economics and Econometrics of Gene-Environment Interplay
Stop Meta-Analyzing, Start Instrumenting: Maximizing the Predictive Power of Polygenic Scores
Polygenic scores have become the workhorse for empirical analyses in social-science genetics. Because a polygenic score is constructed using the results of finite-sample Genome-Wide Association Studies (GWASs), it is a noisy approximation of the true latent genetic predisposition to a certain trait. The conventional way of boosting the predictive power of polygenic scores is to … Read more
Investigating the genetic architecture of noncognitive skills using GWAS-by-subtraction
Little is known about the genetic architecture of traits affecting educational attainment other than cognitive ability. We used genomic structural equation modeling and prior genome-wide association studies (GWASs) of educational attainment (n = 1,131,881) and cognitive test performance (n = 257,841) to estimate SNP associations with educational attainment variation that is independent of cognitive ability. … Read more