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The Promises and Pitfalls of Genoeconomics*

Benjamin, DJ (author)
Cornell University (US)
Cesarini, D (author)
Massachusetts Institute of Technology (US)
Chabris, CF (author)
Union College (US)
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Glaeser, EL (author)
Harvard University (US)
Laibson, DI (author)
Harvard University (US)
Gudnason, V (author)
Icelandic Heart Association (IS)
Harris, TB (author)
National Institute on Aging (US)
Launer, LJ (author)
National Institute on Aging (US)
Purcell, S (author)
Massachusetts General Hospital (US)
Smith, AV (author)
Icelandic Heart Association (IS)
Johannesson, Magnus (author)
Stockholm School of Economics,Handelshögskolan i Stockholm
Magnusson, PKE (author)
Karolinska Institutet,Karolinska Institutet (SE)
Beauchamp, JP (author)
Christakis, NA (author)
Harvard University (US)
Atwood, CS (author)
University of Wisconsin Milwaukee (US)
Hebert, B (author)
Harvard University (US)
Freese, J (author)
Northwestern University (US)
Hauser, RM (author)
University of Wisconsin Milwaukee (US)
Hauser, TS (author)
University of Wisconsin Milwaukee (US)
Grankvist, A (author)
Karolinska Institutet (SE)
Hultman, CM (author)
Karolinska Institutet,Karolinska Institutet (SE)
Lichtenstein, P (author)
Karolinska Institutet,Karolinska Institutet (SE)
Arrow, KJ (author)
Bresnahan, TF (author)
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 (creator_code:org_t)
Annual Reviews, 2012
2012
English.
In: Annual review of economics. - : Annual Reviews. - 1941-1383 .- 1941-1391. ; 4, s. 627-
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • 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.

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