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Massimiliano Marcellino

Topics in Time Series Analysis

 

 

 

First class: Monday, February 25, 2008 at 11.00 a.m.

  1. Introduction to Gauss

Comments:

If you missed the class, ask for printouts

You can find all the files on the H: drive under the folder GAUSS

 

Second class:  Monday, March 3, 2008 at 3.00 p.m.

1.      Band-pass filter (Watson (2007))

2.      Local projections (Jorda (2005))

Comments:

We go through the papers and the programs

Handouts available also at the course folder on the H drive

You can work in pairs for the problem sets! Let me know who are working together and which time-series you selected! Maximum two pairs (of students) can work on the same country GDP)!

The second problem set is actually problem set 1, it is a typo

 

Third class:  Friday, March 14, 2008 at 3.00 p.m.

1.      Comments on the PS#1

2.      Finish with the local projections

Comments:

We went through PS#1

 

Fourth class:  Monday, March 17, 2008 at 11.00 a.m.

1.   LSTAR

  1. Something about numerical optimization
  2. Stock and Watson (1999) paper on forecast comparisons
  3. MS VAR (very shortly)

Comments:

If you cannot come, ask me for the materials

 

Fifth class:  Thursday, March 27, 2008 at 9.00 a.m.

1.      ML estimation of DSGE models (Ireland (2001))

2.      ML estimation of factors (Stock and Watson (1991)

3.      Eigenvalue-eigenvector decomposition in estimating factors (Stock and Watson (2005))

Comments:

Handed out problem set 3. Deadline is April 11, 2008 at noon.

 

 

 

USEFUL GAUSS LINKS

GAUSS home

 

Complete user guide 8.0, 462 pp.

 

Language Reference 8.0, 1042 pp.

 

Example: Basic commands (sample.g)

 

Example: OLS (sample2.g)

 

A short introduction to GAUSS by Søren Leth-Petersen, 14 pp.

 

Good coverage of Gauss commands by Eduardo Rossi, 165 pp.

 

A link to GAUSS resources

 

Additional GAUSS resources

Frances and van Dijk "Non-linear time series models in empirical finance"

 

Collection of links to Gauss codes, but not all links work

 

Introduction to Gauss, but a bit old