Working Papers
2022
Bahrami-Rad D, Beauchamp JP, Henrich J, Schulz J. (2022). “Kin-based institutions and economic development.”
Available at SSRN
Publications
2022
With the Social Science Genetic Association Consortium (co-starred senior author). (2022). “Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals”. Nature Genetics.
Publisher’s version
2021
With the Social Science Genetic Association Consortium. (2021). “Resource profile and user guide of the Polygenic Index Repository”. Nature Human Behaviour.
Publisher’s version
2019
Beauchamp JP, Benjamin DJ, Laibson D, Chabris CF. (2019). “Measuring and controlling for the compromise effect when estimating risk preference parameters.” Experimental Economics.
Publisher’s version
Code and data
Schulz J, Bahrami-Rad D, Beauchamp JP, Henrich J. (2019). “The Church, intensive kinship, and global psychological variation.” Science, 366 (6466).
Publisher’s version
Code and data
Selected Media: Washington Post, Washington Post Opinion, Newsweek, The Economist, New York Times, Telegraph, NPR, Scientific American, Science Magazine, Science Podcast, FAZ I, FAZ II, NZZ, Focus, Sydney Morning Herald, Brisbane Times
With the Social Science Genetic Association Consortium (co-starred senior author). (2019). “Genome-wide association analyses of risk tolerance and risky behaviors in over 1 million individuals identify hundreds of loci and shared genetic influences.” Nature Genetics, 51: 245-257.
Publisher’s Version
2018
With the Social Science Genetic Association Consortium. (2018). “Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals.” Nature Genetics, 50: 1112-1121.
Publisher’s Version
2017
Beauchamp JP, Cesarini D, Johannesson M. (2017). “The psychometric and empirical properties of measures of risk preferences.” Journal of Risk and Uncertainty, 54 (3): 203-237.
Publisher’s Version
2016
Beauchamp JP. (2016). “Genetic evidence for natural selection in humans in the contemporary united states.” Proceedings of the National Academy of Sciences, 113 (28): 7774–7779.
Publisher’s Version
Stata .do and log files for main analyses
With the Social Science Genetic Association Consortium (co-starred leading author). (2016). “Genome-wide association study identifies 74 loci associated with educational attainment.” Nature, 533: 539–542.
Publisher’s Version
With the Social Science Genetic Association Consortium (co-starred senior author). (2016). “Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses.” Nature Genetics, 48: 624–633.
Publisher’s version
2013
With the Social Science Genetic Association Consortium. (2013). “GWAS of 126,559 individuals identifies genetic variants associated with educational attainment.” Science, 340 (6139): 1467-71.
Publisher’s Version
Chabris CF, Lee JJ, Benjamin D, Beauchamp JP, Glaeser EL, Borst G, Pinker S, Laibson DI. (2013). “Why is it hard to find genes that are associated with social science traits? theoretical and empirical considerations.” American Journal of Public Health, 103 (S1): S152-S166.
Publisher’s Version
2012
Chabris CF, Hebert BM, Benjamin DJ, Beauchamp JP, et al. (2012). “Most reported genetic associations with general intelligence are probably false positives.” Psychological Sciences, 23: 1314-23.
Publisher’s Version
Benjamin DJ, Cesarini D, .., .., Beauchamp JP, et al. (2012). “The promises and pitfalls of genoeconomics.” Annual Review of Economics, 4: 627-62.
Publisher’s Version
2011
Beauchamp JP, Cesarini D, Johannesson M, van der Loos M, et al. (2011). “Molecular genetics and economics.” Journal of Economics Perspectives, 25: 57-82.
Publisher’s Version
2010
Apicella CL, Cesarini D, .., Beauchamp JP, Westberg L. (2010). “No association between oxytocin receptor (OXTR) gene polymorphisms and experimentally elicited social preferences.” PLoS ONE, 5 (6): e11153.
Publisher’s Version
Beauchamp JP, Cesarini D, Johannesson M, Lindqvist E, Apicella C. (2010). “On the sources of the height-intelligence correlation: new insights from a bivariate ACE model with assortative mating.” Behavior Genetics, 41: 242-252.
Publisher’s Version