This course discusses regression analysis in greater detail, focusing on some of the more common statistical problems, including measurement error, multi-collinearity, autocorrelation, heteroscedasticity, and specification error. This course also introduces the student to dynamic modeling and forecasting. Participants will continue to use the database they developed in Macroeconometrics A to investigate statistical problems and for dynamic modeling, forecasting, and their course project. Ideally, students enrolled in this program should have hands-on experience using integrated pc software such as Microsoft Access, Excel, and Word. Students are encouraged to take our Excel course if they have had no prior training in the use of spreadsheets.
Spreadsheets are highly useful in the organization and management of financial and economic data.
With Excel and econometric software such as TSP, students can easily manipulate and graph data, perform statistical analysis, and generate economic forecasts. In addition, students should become familiar with a wordprocessing package, such as MS Word, in order to prepare professional presentations and reports. To apply, contact the Admissions Office of the Economics Institute.