The following recitation notes are supplements to the lecture notes. Courtesy of Paul Schrimpf. Used with permission.
Recitation notes files.REC # | TOPICS |
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1 | Stationarity, autoregression moving average (ARMA), and covariances (PDF) |
2 | Time series in MATLAB®, spectral analysis, and filtering (PDF) |
3 | Filtering, Christiano-Fitzgerald, and Hodrick-Prescott (PDF) |
4 | Vector autoregression (VAR) and maximum likelihood (ML) (PDF) |
5 | Variance decomposition, Kilian (1998) - Bootstrap after Bootstrap, Beaudry and Portier (2006) (PDF) |
6 | Testable factor-augmented vector autoregressive approach (FAVAR) restrictions and applications of factor models (PDF) |
7 | Lecture review, random walk asymptotics, and with drift (PDF) |