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B. Causal Inference in Empirical Microeconomics [annulé]

Volume horaire total 12

Responsables

Aliprantis Dionissi

Pré-requis

First year statistics or econometrics course.

Objectifs

This course aims to introduce students to recent developments in the field of causal inference within empirical microeconomics.  After the course, students should understand some of the basic recently developed techniques, knowledgeable about key results in the literature, and comfortable learning more technical recent techniques. 

Contenu

We will start with potential outcomes and program evaluation models, we will then connect these models to economic models of choice, and we will discuss identification strategies throughout.  The course will be organized around the idea that a causal effect is a parameter in a model and that the social scientist’s job is to judge when and how to apply models to learn from data.

Calendrier

11 février 2019  (9h-11h et 15h-17h) annulé 
12 février 2019  (9h-11h et 15h-17h) annulé 
13 février 2019  (9h-11h et 15h-17h) annulé