ARE 240C

Time Series Econometrics

Probability theory; estimation, inference and forecasting of time series models; trends and non-standard asymptotic theory; vector time series methods and cointegration; time series models for higher order moments and transition data; state-space modeling; the Kalman filter.

Units: 4.0

Hours: Lecture—3 hour(s); Discussion—1 hour(s).