This page provides various teaching material and ressources that I have been using throughout the past years.  

Those three lectures were part of the ILO summer school on Introductory Macroeconomics: 

This lecture provides an overview of the main policy questions in macroeconomics using the IS-LM framework, with an application to the policy responses to the Great Recession. The course uses mostly plots and figures. 

  • Introductory Lecture to Heterogeneous-Agent Models (3 hours): slides

This lecture provides an introduction to some learning models featuring heterogeneous and interacting agents, in particular social learning models using genetic algorithms. 

This lecture provides an introduction agent-based models in macroeconomics, and contrasts them to the workhorse Dynamic Stochastic General Equilibrium (DSGE) models.  

  • Advanced Macroeconomics (20 hours): 

slides lecture 1, lecture 2, lecture 3

This course is an overview of the state-of-the-art models in macroeconomics from the 1970s on. The course starts from the origins of Real Business Cycles models, then develops the first generation of New Keynesian models, then the second generation, that consists mainly in extensions and refinements of the labor and financial markets, and concludes by an opening to learning models, experimental techniques and computational techniques (agent-based models) in macroeconomics.

  • Workshop on `Insights into Markets Dynamics and Agents' Behaviors using Lab Experiments': 

slides lecture 1lecture 2lecture 3lecture 4lecture 5, lecture 6.

This two-day workshop introduces experimental lab techniques for the analysis of market dynamics and macroeconomic questions. It focuses on group experiments, where the aggregate market result is the main object of study, in contrast with individual decision-making experiments widely used in microeconomics. The course offers applications in finance and macroeconomics, as well as a class experiment. 

  • Mini-course in Agent-Based Models and Lab Experiments, Burgundy School of Business, Master of Data Science  (6 hours): lecture1, lecture 2


This course is a comprehensive introduction to the use of latex for text editing, including examples of papers, CV, letters, PhD theses and beamer presentation. 

© 2020 by Isabelle Salle, latest update: September 2020.