ECTS : 3
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)
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/