A computer-based course in applied forecasting techniques. Topics include: importance, history and limitations of timeseries analysis of economic data; basic concepts of forecasting; naive methods of forecasting; decomposition methods of forecasting; forecasting from timeseries models; regression vs timeseries methods of forecasting (combining the two methods); evaluation of forecasts; studying the relationships between timeseries; causality tests, Granger’s Test, SPMS’ Test, Pierce-Haugh Test; population and technology forecasts; survey data: anticipations and expectations. PREREQ: ECON 2136 or permission of chair. Students may not retain credit for both ECON 4096 & 3136. (lec 3) cr 3
