CY Cergy Paris Université · Tutorial
Econometrics — M2 & PhD
An advanced exercise collection on linear models, inference, instrumental variables, maximum likelihood, and generalized method of moments.
Teaching
Courses and teaching materials
I began teaching economics at CY Cergy Paris Université in 2019. I have taught lectures and tutorials in a range of subjects, including microeconomics, macroeconomics, data analysis, and econometrics, from undergraduate to doctoral level. This page presents selected materials for my courses in the 2026/2027 academic year. My teaching connects economic intuition, formal reasoning, and empirical evidence, with an emphasis on explaining why a method works and interpreting results carefully.
Courses & materials
Advanced methods to undergraduate foundations
Browse selected courses and their available exercises, notebooks, data, and presentation slides.
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CY Cergy Paris Université · Tutorial
Econometrics — M1
An exercise collection covering regression foundations, matrix formulation, inference, heteroskedasticity, nonlinear least squares, and instrumental variables.
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CY Cergy Paris Université · Tutorial
Econometrics — L3
Chapter-based exercises, teaching datasets, and previous continuous assessments with supplied answer keys.
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CY Cergy Paris Université · Tutorial
Data Analysis with Python — L3
Five applied sessions on price indices, unemployment, data cleaning, dataset merges, and income distributions, with source data and reproducible Python notebooks.
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Sciences Po Saint-Germain-en-Laye · Lecture
Microeconomics — L1
Session 1 introduces consumers, producers, price elasticity, market efficiency, transfers, and deadweight loss.
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Université Catholique de l’Ouest · Lecture & Tutorial
Econometrics — L3
Session 1 introduces covariance, correlation, descriptive evidence, and simple regression. Session 2 develops sampling, probability, estimator distributions and inference, with course and exercise code in Python, R and Stata, notebooks, data and interactive simulators.
Self-assessment: Online practice quiz (QCM) — Simple regression and OLS properties
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Université Catholique de l’Ouest · Lecture & Tutorial
Microeconomics III — L3
Microeconomic foundations, strategic decisions and Nash equilibrium, followed by risk, insurance, portfolio choice and private information, with exercises, Python/R programs and interactive simulators.
Self-assessment: Online practice quiz (QCM) — Game theory and risk
Teaching approach
Three principles that structure a class
Clarify the core idea
Begin with one durable objective and use short checks to make understanding visible.
Explain why, not only how
Students should be able to state the assumptions, intuition, and consequences of failure.
Interpret evidence responsibly
Separate description, identification, and policy judgment in every empirical exercise.
In the room
Teaching in practice
Explanation, questions, and quantitative practice belong in the same conversation.
Student training in Stata, 2021.
Code & notebooks
Continue from course to computation
The separate Code & Data page gathers the real Python, R, Stata, notebook, dataset, and simulator files with practical instructions.
Explore Code & DataTeaching enquiries