<?xml version="1.0" encoding="UTF-8" standalone="yes"?><oembed><version><![CDATA[1.0]]></version><provider_name><![CDATA[Jason Collins blog]]></provider_name><provider_url><![CDATA[http://jasoncollins.blog]]></provider_url><author_name><![CDATA[Jason Collins]]></author_name><author_url><![CDATA[https://jasoncollins.blog/author/jasonacollins/]]></author_url><title><![CDATA[Two articles on genetics and&nbsp;economics]]></title><type><![CDATA[link]]></type><html><![CDATA[<p><a href="http://pubs.aeaweb.org/doi/pdfplus/10.1257/jep.25.4.83" target="_blank">From Charles Manski</a> in the latest Journal of Economic Perspectives (pdf):</p>
<blockquote><p>Someone 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&nbsp;outcomes into unobservable genetic and environmental components. A new literature measures specifific 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.</p></blockquote>
<p>From the same edition, Beauchamp and colleagues <a href="http://pubs.aeaweb.org/doi/pdfplus/10.1257/jep.25.4.57" target="_blank">address the following question</a> (pdf):</p>
<blockquote><p>How, if at all, should economists use and combine molecular genetic and economic data? What challenges arise when analyzing genetically informative data?</p></blockquote>
<p>I&#8217;ll post my thoughts on these articles when I have had a chance to digest.</p>
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