Graduate course. Main themes: linear regressions and estimation by ordinary least squares; formalization of causality via potential variables  (Neyman-Rubin causal model); instrumental variables.

Lecturer in 2024/25 (34h)

A work-in-progress handout (link) and some lecture notes (link).

Undergraduate course. Main themes: introduction to probability and statistics; statistical models; identification, well-specification, representativeness of a sample; some basic properties of estimators (unbiasedness, consistency, asymptotic normality); inference (confidence intervals, tests).

Lecturer in 2024/25 (2 x 12h – two groups). The second part of the course is taught by Martin Jégard.

Lecture notes and other material (link to folder).

 

“Econometrics 1” (linear models)

Graduate course taught by Xavier Haultfoeuille and Elia Lapenta.

TA in 2019/2020 (18h), 2020/2021 (2 x 18h – two groups), 2021/22 (18h)

“Econometrics 2” (non-linear models)

Graduate course taught by Xavier D’Haultfoeuille, then Michael Visser

TA in 2017/18 (18h), 2018/19 (18h), 2020/21 (18h), 2021/22 (2 x 18h – two groups)

“Econometrics 3A-CI” (crash course in econometrics for students entering directly in M2)

Graduate course taught by Bertrand Garbinti

TA in 2020/21 (18h)

“Linear times series”

Graduate course taught by Christian Francq

TA in 2021/22 (18h)

Some material (link to Dropbox folder)

“Statistics 1”

Graduate course taught by Nicolas Chopin, then Arnak Dalalyan.

TA in 2017/18 (18h), 2018/19 (18h), 2019/20 (18h), 2020/21 (18h), 2021/22 (18h)

“Mathematical statistics” (crash course in statistics for students entering directly in M2)

Graduate course taught by Guillaume Lecué

TA in 2018/19 (12h), 2019/20 (12h), 2020/21 (12h), 2021/22 (12h)

“Introduction to statistics”

Undergraduate course taught by Marco Cuturi, then Arnak Dalalyan

TA in 2017/18 (24h), 2018/19 (24h)

“Introduction to stochastic process”

Graduate course taught by Nicolas Chopin

TA in 2023/24 (15h)

“Topology and analysis”

Undergraduate course taught by Laurent Decreusefond, then Marie Touahir, then Rim Essifi, then Etienne Donier-Meroz

TA in 2020/21 (24h), 2021/22 (24h), 2022/23 (27h), 2023/24 (27h), 2024/25 (27h)

“Measure Theory”

Undergraduate course taught by Anna Korba

TA in 2023/24 (12h)

“Introduction to microeconomics”

Undergraduate course taught by Thibaud Vergé, then Laurent Linnemer

TA in 2020/21 (2 x 24h – two groups), 2021/22 (2 x 24h – two groups)