Time Series Analysis II

This course provides an introduction to modern time series econometrics. The first part of the course deals with univariate time series processes but the main emphasis is on the multivariate case. In particular, we study the estimation, interpretation, and identification of VAR models. The analysis starts from a stationary context, which is then extended to a non-stationary one including cointegration analysis. Finally, the course also examines factor models. Each week, exercises in the computer lab complement the lectures with empirical applications.

Syllabus 2020


Slides

  1. ARMA models

  2. Characteristics of ARMA models

  3. Estimation of AR models

  4. Estimation of reduced-form VAR

  5. Structural VAR

  6. Non-stationary time series

  7. Factor models


Exams

December 2019

February 2020

December 2020

February 2021