The Promises and Pitfalls of Genoeconomics
Year: 2012
Type: review
Abstract: This article reviews existing research at the intersection of genetics and economics, presents some new findings that illustrate the state of genoeconomics research, and surveys the prospects of this emerging field. Twin studies suggest that economic outcomes and preferences, once corrected for measurement error, appear to be about as heritable as many medical conditions and personality traits. Consistent with this pattern, we present new evidence on the heritability of permanent income and wealth. Turning to genetic association studies, we survey the main ways that the direct measurement of genetic variation across individuals is likely to contribute to economics, and we outline the challenges that have slowed progress in making these contributions. The most urgent problem facing researchers in this field is that most existing efforts to find associations between genetic variation and economic behavior are based on samples that are too small to ensure adequate statistical power. This has led to many false positives in the literature. We suggest a number of possible strategies to improve and remedy this problem: (a) pooling data sets, (b) using statistical techniques that exploit the greater information content of many genes jointly, and (c) focusing on economically relevant traits that are most proximate to known biological mechanisms.
Source: Annual Review of Economics
Authors: Daniel J. Benjamin, David Cesarini, Christopher F. Chabris, Edward L. Glaeser, David I. Laibson, Age, Gene/Environment Susceptibility-Reykjavik Study:, Vilmundur Guðnason, Tamara B. Harris, Lenore J. Launer, Shaun Purcell, Albert Vernon Smith, Swedish Twin Registry:, Magnus Johannesson, Patrik K.E. Magnusson, Framingham Heart Study:, Jonathan P. Beauchamp, Nicholas A. Christakis, Wisconsin Longitudinal Study:, Craig S. Atwood, Benjamin Hebert, Jeremy Freese, Robert M. Hauser, Taissa S. Hauser, Swedish Large Schizophrenia Study:, Alexander Grankvist, Christina M. Hultman, Paul Lichtenstein
Institutions: National Bureau of Economic Research, Cornell University, New York University, Union College, Harvard University, Icelandic Heart Association, National Institutes of Health, National Institute on Aging, Massachusetts General Hospital, Center for Human Genetics, Stockholm School of Economics, Karolinska Institutet, University of Wisconsin–Madison, Northwestern University
Language: English
Subfield: Genetics
Domain: Life Sciences
Open Access status: green
Funder: National Institute on Aging
OpenAlex ID: W2161124157
