{"id":168052,"date":"2024-11-27T17:17:17","date_gmt":"2024-11-27T16:17:17","guid":{"rendered":"https:\/\/www.ieseg.fr\/?post_type=events&p=168052"},"modified":"2024-12-05T09:45:43","modified_gmt":"2024-12-05T08:45:43","slug":"workshop-causal-inference-workshop-may25","status":"publish","type":"events","link":"https:\/\/www.ieseg.fr\/en\/events\/workshop-causal-inference-workshop-may25\/","title":{"rendered":"[Workshop] Causal Inference Workshop"},"content":{"rendered":"\n
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Date and Location \u2013 May 20th,<\/sup> 2025 <\/strong><\/em>on I\u00c9SEG Lille Campus<\/em><\/strong>
9h30am – 5pm<\/strong><\/em><\/p>\n\n\n\n

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Many research questions in the social sciences aim to establish a causal relationship between a particular element and its expected effects. In recent years, the quality of empirical studies designed to address these questions has significantly improved, particularly through more systematic use of identification strategies previously developed in economics. These strategies stem from economists’ growing awareness of the limitations of certain methods and were recognized with the Nobel Prize in Economics in 20211<\/sup>. Consequently, this “credibility revolution” in causal inference has naturally led to the recent and rapid adoption of the most sophisticated identification techniques, particularly in the field of corporate finance2<\/sup>.<\/p>\n\n\n\n

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workshop topic<\/h2>\n\n\n\n

The 2025 workshop will focus on the methods of selection on observables. It will cover the theoretical concept of potential outcomes, Directed Acyclic Graphs (DAGs), regression adjustment, non-parametric matching methods to balance treatment and control groups, semiparametric methods that combine parametric and non-parametric approaches for more robust estimation.<\/p>\n\n\n\n

Targeted audience<\/h2>\n\n\n\n

The workshop is intended for academic researchers interested in empirical work, primarily in causal inference. Although the empirical framework presented is mainly based on examples from economics, finance, and accounting, the fields of application are broad and encompass all areas of management and social sciences (marketing, strategy, human resources, organization, political science, etc.).<\/p>\n\n\n\n

Practicalities and Registration<\/h2>\n\n\n\n