ECON 475 A4 - Economic Forecasting
Overview of modern, quantitative, statistical and econometric methods for forecasting and evaluating forecasts. Topics include linear regressions; modeling and forecasting trends and seasonality; characterizing and forecasting cycles; MA, AR, and ARMA models; forecasting with regressions; evaluating and combining forecasts. Advanced topics include unit roots, stochastic trends, ARIMA models, and smoothing will be covered as time permits. Course Information: 3 undergraduate hours. 4 graduate hours. Prerequisite: ECON 203; ECON 302; MATH 220/MATH 221 are required. MATH 231 is recommended.
Graduate students seeking enrollment must receive instructor permission before emailing email@example.com to request permission. Students enrolled in this section are to contact the instructor for details on completing a paper or project beyond the standard course work to earn the additional credit hour.
Option 1Number of Required Visit(s): 0
Course Level: Graduate