{"id":2093,"date":"2015-10-15T11:45:21","date_gmt":"2015-10-15T15:45:21","guid":{"rendered":"https:\/\/cyrussamii.com\/?p=2093"},"modified":"2015-10-15T11:49:33","modified_gmt":"2015-10-15T15:49:33","slug":"thoughts-on-structure-and-identification","status":"publish","type":"post","link":"https:\/\/cyrussamii.com\/?p=2093","title":{"rendered":"Thoughts on &#8220;structure&#8221; and identification"},"content":{"rendered":"<p>See this post at A Fine Theorem and the discussion in the comments: <a href=\"https:\/\/afinetheorem.wordpress.com\/2015\/10\/12\/angus-deaton-2015-nobel-winner-a-prize-for-structural-analysis\/\">link<\/a>.<\/p>\n<p>Structural modeling and identification give rise to lots of possible combinations.  Randomization (and its analogues) can non-parametrically identify ATEs or LATEs and other things that can be constructed using only <em>marginal<\/em> potential outcome distributions.  But as, e.g., Heckman et al. (1997; <a href=\"http:\/\/athens.src.uchicago.edu\/jenni\/dvmaster\/FILES\/most.pdf\">link<\/a>) have shown, there are pretty strict limits to what randomization can do to identify parameters from the joint counterfactual distribution.  Behavioral assumptions, the basis of structural models, &#8220;fill in&#8221; the information needed to proceed with estimation tasks that require more than just the marginal potential outcome distributions.  Along similar lines, Chetty (2009; <a href=\"http:\/\/www.annualreviews.org\/doi\/abs\/10.1146\/annurev.economics.050708.142910\">link<\/a>) has shown how behavioral assumptions can motivate the <em>interpretation<\/em> of non-parametrically identified parameters as &#8220;sufficient statistics&#8221; to judge welfare effects (or, at least, to put bounds on such effects).  The general principle behind all these combinations is that models (&#8220;structure&#8221;) fill in for what randomization cannot identify non-parametrically (that is, &#8220;on its own&#8221;).  An issue in the discussion linked above (in the comments especially) is whether and when it is okay to just work with what is non-parametrically identified.  <\/p>\n<p>Perhaps a key source of the tension in  &#8220;randomistas versus structuralists&#8221; debates is a difference in opinion over where we should draw the line between acceptable and unacceptable use of structure to &#8220;fill in.&#8221; Even randomista papers sometimes apply bits of structure to decompose (L)ATEs to link results to theoretical claims about behavioral mechanisms. Here is a very barebones example from Duflo and Saez (2003): <a href=\"http:\/\/eml.berkeley.edu\/~saez\/tdafairQJE.pdf\">link<\/a>.  So the debates are not black versus white.  There is probably less controversy over the suggestion that we shouldn&#8217;t use structure to identify parameters that <em>could in principle<\/em> be identified with an experiment or natural experiment. E.g., introducing structure merely to identify a LATE (selection models, anyone&#8230;) probably rub a lot of people on both sides of the &#8220;debate&#8221; the wrong way these days.  (And <em>even this<\/em> would be seen as a step above <em>completely<\/em> hand-wavvy identification strategies like plopping an ad hoc array of covariates into a regression or matching algorithm&#8230;)<\/p>\n","protected":false},"excerpt":{"rendered":"<p>See this post at A Fine Theorem and the discussion in the comments: link. Structural modeling and identification give rise to lots of possible combinations. Randomization (and its analogues) can non-parametrically identify ATEs or LATEs and other things that can be constructed using only marginal potential outcome distributions. But as, e.g., Heckman et al. (1997; &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/cyrussamii.com\/?p=2093\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Thoughts on &#8220;structure&#8221; and identification&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-2093","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/cyrussamii.com\/index.php?rest_route=\/wp\/v2\/posts\/2093","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cyrussamii.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/cyrussamii.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/cyrussamii.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/cyrussamii.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=2093"}],"version-history":[{"count":8,"href":"https:\/\/cyrussamii.com\/index.php?rest_route=\/wp\/v2\/posts\/2093\/revisions"}],"predecessor-version":[{"id":2101,"href":"https:\/\/cyrussamii.com\/index.php?rest_route=\/wp\/v2\/posts\/2093\/revisions\/2101"}],"wp:attachment":[{"href":"https:\/\/cyrussamii.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2093"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/cyrussamii.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=2093"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/cyrussamii.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=2093"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}