Forecasting with DSGE Models

About

The course will be held at the computer lab of the Department of Economics and Finance at Tallinn University of Technology over three days from 10am to 4pm on Wednesday, 10 June to Friday, 12 June 2020.

The objective of the course is to teach participants how to:
Estimate DSGE models: classical and Bayesian estimation (Day 1)
Forecast with DSGE models: mean, median, density forecast (Day 2)
Evaluate the accuracy of forecasts: ex-post forecasting competitions (Day 3)
The course is aimed at academic and applied researchers, doctoral students as well as advanced Master students. The course will use Matlab and Dynare software. You can either use the classroom computers or your own laptop. The course requires basic knowledge of the three equation New Keynesian model and basic knowledge of Matlab.

Course leader

Michał Rubaszek

Target group

Academic and applied researchers, doctoral students as well as advanced Master students

Course aim

The objective of the course is to teach participants how to: estimate DSGE models: classical and Bayesian estimation (Day 1); forecast with DSGE models: mean, median, density forecast (Day 2); evaluate the accuracy of forecasts: ex-post forecasting competitions (Day 3)

Fee info