gdpThe lectures provide a self contained introduction to the building, simulation and estimation macroeconometric models that constitute the main workhouse of today’s macroeconomics. These models are now commonly used in central banks for policy projections and business cycle analysis. Their interest is to mix micro foundations, dynamic relations and rational expectations. Furthermore, they can be estimated using recent developments in Bayesian econometrics. The objective of this course is to provide the both basic and advanced tools to allow participants to get some intuitions on these models and to be able to read and understand policy and research papers using this approach. Lectures are followed by practical sessions with hands-on computational exercises.

 

Papers presentations 2016/2017:

Name Paper
Corentin Roussel The financial accelerator in a quantitative business cycle framework
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Syllabus of the Lecture (pdf)

 

Lecture 1: An Introduction to Dynare Programming
Lecture 2: Estimation of the Neo-Classical Growth Model
Lecture 3: Perturbation Methods and the Full-fledged RBC Model
Lecture 4: New Keynesian Macroeconomics and Bayesian Econometrics
Lecture 5: Optimal Fiscal and Monetary Policies
Lecture 6: International Business Cycles