DAY ONE

Date: July 29

 

Time: 14.30-16.00

Topics: Stationarity and ergodicity, mean reversion, loss of memory. Stationary and nonstationary variables: totally different behavior. Trends versus random walks: is GNP trend deterministic or stochastic?

Format: lecture

Required reading: Enders, Walter, Applied Econometric Time Series, chapter 2, sections 3.8-3.11.

Assignments: Problems on stationarity.

Time: 16.30-18.00

Topics: Introduction to Econometric Views. Stationary and nonstationary series.

Format: practical session with computer exercises

DAY TWO

Date: July 30

 

Time: 14.30-16.00

Topics: Autoregressive linear processes: estimation, testing and model selection. Prediction and prediction errors.

Format: lecture

Required reading: Enders, Walter, Applied Econometric Time Series, chapter 2.

Assignments: Problems on autoregressions.

Time: 16.30-18.00

Topics: Autoregressions and their estimation.

Format: practical session with computer exercises

DAY THREE

Date: July 31

 

Time: 14.30-16.00

Topics: Nonstationary univariate time series: stochastic and deterministic trends. Testing for unit roots.

Format: lecture

Required reading: Enders, Walter, Applied Econometric Time Series, chapter 4.

Assignments: Problems on unit roots.

Time:16:30-18:00

Topics:Unit roots.

Format: practical session with computer exercises

DAY FOUR

Date: August 1

 

Time: 14.30-16.00

Topics:Vector autoregressions. Identification of VAR: structural vs. reduced forms, the simultaneity problem and identifying restrictions. Estimation of VAR. Granger causality. Impulse response functions. Variance decomposition.

Format: lecture

Required reading: Enders, Walter, Applied Econometric Time Series, chapter 5.

Assignments: Problems on VARs

Time: 16.30-18:00

Topics: Vector autoregressions and their estimation. Testing for Granger causality. Construction of impulse response functions and variance decomposition.

Format: practical session with computer exercises

DAY FIVE

Date: August 2

 

Time: 14.30-16.00

Topics: Nonstationary multivariate time series: spurious regression and cointegration.

Format: lecture

Required reading: Enders, Walter, Applied Econometric Time Series, chapter 4.

Assignments: Problems on cointegration

Time: 16.30-18.00

Topics: Spurious regression. Testing for cointegration and estimation of the cointegration relationship.

Format: practical session with computer exercises