ECO 435 Forecasting
To learn the theory and practice of economic and business forecasting. Students begin with an in depth analysis of relevant statistical tools and regression techniques. Students apply these tools to develop forecasting models of data that contain trends and seasonality. ARIMA models are developed to study cyclical behavior. By the end of the course, students are able to combine these tools to build forecasts of data that contain trends, seasonality, and cyclical behavior. Throughout the course, the software program E-views is used to create forecasts of real world examples from business and economics.
Credits
4
Distribution
(SS)Offered
spring semester.