Teaching
My teaching focuses on applied economics, quantitative methods, experimental methods, and programming for economists.
Current Courses
Experimental Analysis of Public Policies
This course introduces experimental and quasi-experimental tools for evaluating public policies. Students work from policy questions to identification strategies, empirical diagnostics and written evaluation protocols.
Main topics: potential outcomes, randomized controlled trials, power, compliance, attrition, difference-in-differences, event studies, regression discontinuity, synthetic control, heterogeneous effects and pre-analysis plans.
Équilibre général et économie publique
The course studies how markets allocate resources and how public policies respond to efficiency, equity and market-failure issues in partial and general equilibrium settings.
Main topics: partial equilibrium and surplus, exchange economies, Edgeworth boxes, welfare theorems, externalities, public goods, commons, asymmetric information and education externalities.
Introduction à Python pour économistes
This introductory course helps economics students acquire the foundations needed to write short Python scripts and use them for empirical economic analysis.
Main topics: terminal and files, scripts, variables, data types, lists, dictionaries, loops, functions, CSV files, pandas, descriptive statistics and basic visualisation.
Modèles de durée / Duration Models
This course introduces duration and survival models with applications in labour economics, health economics and finance. Practical work is conducted in R.
Main topics: survival and hazard functions, censoring, truncation, Kaplan-Meier estimation, Nelson-Aalen cumulative hazards, parametric models, Cox proportional hazards and accelerated failure-time models.
Introduction à la logique algorithmique : applications avec Python
This beginner course introduces algorithmic thinking through Python. The materials use a progressive project-based narrative to move from basic instructions to a small working program.
Main topics: variables, types, conditions, loops, lists, dictionaries, functions, random draws, simulations and a final mini-project.
Past and Occasional Courses
Conférences de méthodes
This methods course develops academic writing, oral presentation and source-use skills for economics students.
Introduction to Macroeconomics
This introductory macroeconomics course covers stylised facts and core short-, medium- and long-run models.
Main topics: output, inflation, unemployment, money market, aggregate demand, IS-LM, labour market, macroeconomic equilibrium, policy in closed economy and growth.
Economics of Education
Main topics: historical perspectives, education and labour markets, education and growth, public intervention in education, education production functions, educational inequalities, social mobility and evaluation of education policies.
Globalization and Development
This course explores the complex interactions between globalization and development. It introduces students to international trade, global economic trends, worldwide inequalities, environmental challenges, and development policies.
Main topics: international trade, globalization, within- and between-country inequality, environmental challenges, development policies, development trajectories.
Data Visualization
This course introduces data visualization with R. It focuses on the use of graphs to communicate ideas and empirical results clearly and effectively. Students learn how to improve the readability and aesthetics of figures, with applications using ggplot2 and spatial data.
Main topics: data visualization, graphical communication, ggplot2, spatial data, maps, legends, labels, titles, interactive visualizations.
Advanced Statistics
This course introduces students to core statistical tools used in economics and social sciences. It covers covariance, statistical significance, basic statistical analysis in R, and the use of visualizations to communicate results to non-specialist audiences.
Main topics: covariance, statistical significance, statistical inference, R, data visualization, communication of statistical results.
Applied Econometrics
This course prepares students to write an empirical master’s thesis using statistical and microeconometric tools. It introduces causal inference, instrumental variables, econometric biases, selection issues, omitted-variable bias, and non-linear models. Applied sessions use Stata and emphasize reproducible statistical programming.
Main topics: causal inference, instrumental variables, selection bias, omitted-variable bias, non-linear models, microeconometrics, Stata, reproducibility.
Impact Evaluation
This course trains students to identify credible counterfactuals using standard econometric tools for impact evaluation. It covers regression discontinuity, matching, difference-in-differences, and synthetic control methods. Each applied session is built around the replication of a research article.
Main topics: counterfactual reasoning, regression discontinuity, matching, difference-in-differences, synthetic control, impact evaluation, replication.
Introduction to Economic Analysis
This course introduces the fundamental principles of microeconomics. It covers perfect competition, market equilibrium with price and quantity rigidities, elasticities, and the historical foundations of economic analysis through classical texts.
Main topics: perfect competition, market equilibrium, price rigidities, quantity rigidities, elasticities, history of economic thought.
Microeconomics: Market Imperfections and Public Economics
This course introduces public economics in the presence of market imperfections. It focuses on asymmetric information, externalities, and different property-rights regimes.
Main topics: public economics, market failures, asymmetric information, externalities, property rights.
Microeconomics: Consumer and Producer Theory
This course introduces the theoretical foundations of economic decision-making by consumers and producers. Students study optimization, constrained maximization, production costs, and profit maximization.
Main topics: consumer choice, producer theory, optimization, constrained maximization, production costs, profit maximization.
Macroeconomics
This course introduces students to the main issues in macroeconomics. It covers long-run growth, inflation, the labour market, exchange rates, and basic theoretical models such as the Solow model.
Main topics: economic growth, inflation, labour market, exchange rates, macroeconomic equilibrium, Solow model.
Selected Public Resources
The resources below are general academic or professional-development materials.