Time-Series and Panel Data Econometrics
course
Aims of the course
No description
Course syllabus
1. Difference equations 2. Univariate time series 2.1. Stationary and integrated processes 2.2. ARIMA models 2.3. GARCH models 2.4. Unit root tests 3. Vector autoregressive and error correction models 3.1. Estimation 3.2. Model specification 3.3. Model checking 4. Uses of multiple time series models 4.1. Forecasting 4.2. Causality Analysis 4.3. Impulse response analysis 4.4. Forecast error variance decomposition
5. Microeconometrics
5.1. Heterogeneity and the role of panel data
5.2. Fixed effects model
5.3. Random effects model
5.4. Model specification tests
5.5. Hypotheses testing
5.6. Discrete-choice models
Course director(s)
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