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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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  • Skype: saso.polanec 
  • Office Hours
  • Monday at 9:15 in RZ-206
  • Igor Masten, PhD, Full Professor

  • Academic Unit for Money and Finance (Regular Member)
  • Academic Unit for Mathematics, Statistics and Operations Research (Associate Member)
  • Office Hours
  • Tuesday at 14:30 in RZ-205
 
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