Syllabus Information

5.1. Methodological overview

The methodology followed in this course is oriented towards achievement of the learning objectives. A wide range of teaching and learning tasks are implemented, such as lectures, student participation, autonomous work (preparation of lectures, exercises or essays) and study of the course contents. Computer-related resources might be required in some topics.

5.2. Learning tasks

The course includes the following learning tasks: 

• Lectures (20 hours): compulsory attendance
• Autonomous work (45 hours): homework preparation and study of the course contents
• Presentation and discussion of homework (10 hours): compulsory attendance

5.3. Syllabus

The course will address the following topics:

Topic 1. Presentation

1.1. DSGE models, calibration and estimation

1.2. Dynare and Octave

Topic 2. Solution of stacionary DSGE models

2.1. A fundamental distintion: determinist and stochastic models

2.2. Introduction of an example

2.3. The structure of a .mod file in Dynare

2.4. Preamble

2.5. Model specification

2.6. Steady estate and/or initial values

2.7. The inclusion of shocks

2.8. The selected computation

2.9. The complete file

Topic 3. Estimation of stationary DSGE models

3.1. Introduction of an example

3.2. Declaration of variables and parameters

3.3. Model declaration

3.4. Declaration of observed variables

3.5. Steady estate

3.6. Declaration of a priori distributions

3.7. Launching the estimation

3.8. The complete .mod file

3.9. Interpreting the output

Topic 4. Solution of non-stationary DSGE models

4.1. The characteristics of a non-stationary model

4.2. Introduction of an example

4.3. Declaration of variables and parameters

4.4. The origin of the non-stationarity

4.5. Transforming the non-stationary variables to stationary ones

4.6. Preamble

4.7. Model specification

4.8. Steady estate and/or initial values

4.9. The inclusion of shocks

4.10. The selected computation

4.11. The complete .mod file

Topic 5. Estimation of non-stationary DSGE models

5.1. The link between the stationary variables and the data

5.2. The block of the resulting model in the .mod file

5.3. Declaration of observed variables

5.4. Declaration of trends in the observed variables

5.5. Steady estate

5.6. Declaration of a priori distributions

5.7. Launching the estimation

5.8. The complete .mod file

5.9. Summing-up

5.4. Course planning and calendar

Provisional calendar of sessions:  

5.5. Bibliography and recommended resources

• Mancini, Tommaso. Dynare: user guide /Tommaso Mancini. Mimeo, 2014
• Dynare: Reference manual, versión 4.4.3 / Adjemian, Stéphane... [et al.] 2014