Rutgers University 3 credits Economics
Provides a knowledge of forecasting and its applications, particularly by using business and economic time series data. Covers basic methods of forecasting, such as regression methods, exponential smoothing, and autoregressive integrated moving average (ARIMA) methods. Also covers VAR (Vector Autoregression) and VEC (Vector Error Correction) methods, forecasting volatility, some nonlinear models, and how to combine and evaluate various forecasts. Uses computer analysis extensively. Prerequisite: Introduction to Econometrics (21:220:303).
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