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Introduction to Bayesian Estimation

This course is organized over 5 days. Participants will have access to 2 hours of training each day. Each day consists of lectures and hands-on training. At the end of the course participants should be able to estimate a macro model in DYNARE. 

The courses are organized to focus on the needs of each central bank.

Don't worry! We will find a suitable time of the day for you. Participants will be divided into groups by their time zones.


Day 1. Introduction to Bayesian Estimation.

Day 2. Database Management and Bayesian Basics:

  • Constructing and updating historical and near-term forecasting database,

  • Learning ML and Bayesian estimation in Dynare,

  • Distributions for parameters and stochastic processes.

Day 3. Estimating Models with Generated Data:

  • Generate data with very large samples,

  • Constructing posterior distributions with the MH algorithm,

  • Odds ratios.

Day 4. Estimate Small Model of the US economy:

  • Graph and analyze data,

  • Estimation of modes with priors.

Day 5. Estimate Small Model of the US economy:

  • Estimation of modes with priors,

  • Analyze model properties.



  • ​Have at least intermediate knowledge in statistics and macroeconomics.

  • MATLAB 2020a or later versions. 

  • Being an intermediate user of Dynare/Matlab would be an asset but no previous knowledge of it is required as there will be a special mini-course for beginners.

  • MiKTeX.


  • DYNARE 4.6.3 or higher.

  • MATLAB 2020a or higher.

The outcomes from the course:

  • DYNARE code with Estimation examples.

  • Certificate of completion.

  • Further assistance (subject to discussion).

Reading Material


Participants interested in learning more about the details of this course should email us at  to request access to a series of video presentations. 


November 21 - November 25,

13:00 - 15:00 Lisbon Time

Registration Closed

The course will be conducted online via Zoom. It will last 5 days. Participants will have access to 2 hours of training each day.

People who cannot attend due to time difference, will have access to video recordings of the course and will have special sessions scheduled with instructors for Q & A.

Seats are limited!

Price for 1 Participant -- €500

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