Program
Thursday, March 25th
09.00-10.30 Registration and
Welcome
10.30-12.00
Lecture 1:
Univariate Time Series Analysis (I)
12.00-13:00 Discussion
13.00-14.30 Lunch
14.30-16:00
Lecture 2: Univariate Time Series Analysis (II)
16.00-16.30 Coffee break
16.30-18.00
Lecture 3:
Multiple Time Series Analysis
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Vector autoregressive processes
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Estimation and specification of VAR models
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Cointegration and vector error correction models
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Estimation and specification of VECMs
18:00-19:00 Discussion
Friday, March 26th
10.30-12:00
Lecture 4:
Structural VAR Models and Impulse Responses
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Impulse
responses and forecast error variance decomposition
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AB-models
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Long-run
restrictions à la Blanchard-Quah
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Long-run
restrictions à la King-Plosser-Stock-Watson
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Statistical
inference for impulse responses
12.00-13:00 Discussion
13.00-14.30 Lunch
14.30-16.00
Lecture 5:
Conditional Heteroskedasticity
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Univariate GARCH processes
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Multivariate GARCH processes
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Estimation of GARCH models
16.00-17.00
Discussion
Primary literature: Lütkepohl, H.,
Krätzig, M., (eds.) Applied Time Series Econometrics, Cambridge,
Cambridge University Press, 2004.
Note:
Examples with JMulTi will
be presented and discussed
20:00 Course Dinner (paid by the participants
on the registration desk)