Genes, Eyeglasses, and Social Policy
AbstractSomeone reading empirical research relating human genetics to personal outcomes must be careful to distinguish two types of work: An old literature on heritability attempts to decompose cross-sectional variation in observed outcomes into unobservable genetic and environmental components. A new literature measures specific genes and uses them as observed covariates when predicting outcomes. I will discuss these two types of work in terms of how they may inform social policy. I will argue that research on heritability is fundamentally uninformative for policy analysis, but make a cautious argument that research using genes as covariates is potentially informative.
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Bibliographic InfoArticle provided by American Economic Association in its journal Journal of Economic Perspectives.
Volume (Year): 25 (2011)
Issue (Month): 4 (Fall)
Find related papers by JEL classification:
- D78 - Microeconomics - - Analysis of Collective Decision-Making - - - Positive Analysis of Policy-Making and Implementation
- A12 - General Economics and Teaching - - General Economics - - - Relation of Economics to Other Disciplines
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- Hyytinen, Ari & Ilmakunnas, Pekka & Johansson, Edvard & Toivanen, Otto, 2013. "Heritability of Lifetime Income," MPRA Paper 46326, University Library of Munich, Germany.
- Hübler, Olaf, 2012.
"Are Tall People Less Risk Averse than Others?,"
IZA Discussion Papers
6441, Institute for the Study of Labor (IZA).
- Olaf Hübler, 2012. "Are Tall People Less Risk Averse than Others?," SOEPpapers on Multidisciplinary Panel Data Research 457, DIW Berlin, The German Socio-Economic Panel (SOEP).
- Almond, Douglas & Currie, Janet & Herrmann, Mariesa, 2012.
"From infant to mother: Early disease environment and future maternal health,"
Elsevier, vol. 19(4), pages 475-483.
- Douglas Almond & Janet Currie & Mariesa Herrmann, 2011. "From Infant to Mother: Early Disease Environment and Future Maternal Health," NBER Working Papers 17676, National Bureau of Economic Research, Inc.
- Maczulskij, Terhi, 2013. "Employment sector and pay gaps: Genetic and environmental influences," Labour Economics, Elsevier, vol. 23(C), pages 89-96.
- Vanessa Mertins & Andrea B. Schote & Jobst Meyer, 2013. "Variants of the Monoamine Oxidase A Gene (MAOA) Predict Free-riding Behavior in Women in a Strategic Public Goods Experiment," IAAEU Discussion Papers 201302, Institute of Labour Law and Industrial Relations in the European Union (IAAEU).
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