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.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
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 Formulation and Implementation
- A12 - General Economics and Teaching - - General Economics - - - Relation of Economics to Other Disciplines
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- repec:att:wimass:9502 is not listed on IDEAS
- 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).
- 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.
- Stenberg, Anders, 2013. "Interpreting estimates of heritability – A note on the twin decomposition," Economics & Human Biology, Elsevier, vol. 11(2), pages 201-205.
- Hyytinen, Ari & Ilmakunnas, Pekka & Johansson, Edvard & Toivanen, Otto, 2013. "Heritability of Lifetime Income," MPRA Paper 46326, University Library of Munich, Germany.
- Maczulskij, Terhi, 2013. "Employment sector and pay gaps: Genetic and environmental influences," Labour Economics, Elsevier, vol. 23(C), pages 89-96.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Jane Voros) or (Michael P. Albert).
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.