This course is an introduction to forecasting analyses and techniques and dedicated to teaching students the latest tools in econometrics to enable them to make knowledgeable judgements about various types of data. This course is especially useful for forecasting business time series such as sales, expenditures, and macroeconomic time series such as GDP, interest rate, inflation, etc.
The course will introduce some of the basics of statistics before moving on to main topics in forecasting. You will learn the ways to examine and prepare data before forecasting. Various useful techniques will be taught about improving the precision of forecasting. Time series topics will include linear regression, ARIMA models, trend modeling, seasonal adjustments, etc. With an emphasis on applications with statistical software, this course will walk you through the methods of analyses of both macro and micro level data.
Prerequisites: ECO 2202 (Macroeconomics II), ECO 2400 (Econometrics).