<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Potential Outcome and Directed Acyclic Graph Approaches to Causality: Relevance for Empirical Practice in Economics · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1907.07271/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/1907.07271/feed.xml" rel="self" type="application/rss+xml" /><item><title>Potential Outcome and Directed Acyclic Graph Approaches to Causality: Relevance for Empirical Practice in Economics — mentioned by spekcular</title><link>https://news.ycombinator.com/item?id=26382131</link><guid isPermaLink="false">urn:hackerpapers:mention:1907.07271:26382131</guid><pubDate>Mon, 08 Mar 2021 03:49:30 GMT</pubDate><description>&lt;p&gt;For more on this, you might enjoy this survey of Pearl&amp;#x27;s work, and its relevance to economics research, by Guido Imbens: https://arxiv.org/abs/1907.07271. It is long, but through. The conclusion is essentially that Pearl is over-hyped, though my summary does significant violence to the nuances of his argument.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1907.07271/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>stat.ME</category></item><item><title>Potential Outcome and Directed Acyclic Graph Approaches to Causality: Relevance for Empirical Practice in Economics — mentioned by zwaps</title><link>https://news.ycombinator.com/item?id=24501827</link><guid isPermaLink="false">urn:hackerpapers:mention:1907.07271:24501827</guid><pubDate>Thu, 17 Sep 2020 06:40:21 GMT</pubDate><description>&lt;p&gt;I&amp;#x27;ll try to dig it up, saw it a while ago on a forum. Another thing might be that in Rubin&amp;#x27;s framework it&amp;#x27;s immediately straightforward to do semi-parametric estimation and get consistency and all that. I&amp;#x27;d say in practice that&amp;#x27;s probably not the first thing to do for DAGs, where writings are focused on toy models (the question then would be: how do I get to the correct DAG?). Edit: This was posted itt, it has some examples of Rubin&amp;#x27;s framework (potential outcomes) that can not be identified in the DAG framework https://arxiv.org/pdf/1907.07271.pdf&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1907.07271/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>stat.ME</category></item><item><title>Potential Outcome and Directed Acyclic Graph Approaches to Causality: Relevance for Empirical Practice in Economics — mentioned by bachmeier</title><link>https://news.ycombinator.com/item?id=24488843</link><guid isPermaLink="false">urn:hackerpapers:mention:1907.07271:24488843</guid><pubDate>Wed, 16 Sep 2020 02:03:33 GMT</pubDate><description>&lt;p&gt;Recognizing that not many will care about my opinion on the subject, I will link to this excellent (and IMO accurate) paper by Guido Imbens: https://arxiv.org/pdf/1907.07271.pdf One of the problems in groups is that there is a belief that the loudest and most self-confident individual is correct. I believe that is the case with Pearl. He attracts a following based on his personality, but when it comes to actually doing empirical research, he comes up short. &amp;quot;Separate from the theoretical merits of the two approaches, another reason for the lack of adoption in economics is that the DAG…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1907.07271/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>stat.ME</category></item></channel></rss>
