Ects : 3

Enseignant responsable :

• JULIEN BERGEOT

Volume horaire : 27

Description du contenu de l'enseignement :

Lectures : 21 hours Empirical applications : 6 hours

Chapter 1 – Potential outcome framework and fundamental problem for policy evaluation Chapter 2 – Randomized control trial Chapter 3 – Matching techniques Chapter 4 – Instrumental variables Chapter 5 – Regression Discontinuity Design Chapter 6 – Difference in differences (including staggered DiD)

Coefficient : 3

Compétence à acquérir :

Knowledge of advanced techniques to evaluate the effect of a public policy and estimate a causal effect. Being able to implement such a study by yourself.

Mode de contrôle des connaissances :

Written exam

Bibliographie, lectures recommandées

Cunningham, S. (2021). Causal inference: The mixtape. Yale university press. Available for free here: https://mixtape.scunning.com/

Huntington-Klein, N. (2021). The effect: An introduction to research design and causality. Chapman and Hall/CRC. Available for free here: https://theeffectbook.net/