Course Syllabus
SESSION 1: Getting Started with EViews
- Creating an EViews workfile
- Entering data into an EViews workfile
- Creating a group in EViews
- Graphing with EViews
- Generating new variables in EViews
SESSION 2: Ordinary Least Squares and Regression Analysis
- Running a simple regression Model
- Contents of the EViews equation window
- Importing data from a spreadsheet file
- Using EViews to estimate a multiple regression model
- Displaying the descriptive statistics for a group of variables
- Displaying the actual, fitted, residual, and a plot of the residuals
- Calculating basic statistics and hypothesis testing
- Performing the t-test of the simple correlation coefficient
- Performing the F-test of overall significance
SESSION 3: Multicollinearity
- Perfect multicollinearity
- Detecting multicollinearity with simple correlation coefficients
- Calculating variance inflation factors (VIF)
- Transforming multicollinear variables
SESSION 4: Serial Correlation
- Creating a residual series from a regression model
- Plotting the error term to detect serial correlation
- Using regression to estimate the first order serial correlation coefficient
- Viewing the Durbin-Watson d statistic in EViews Output
- Estimating generalized least squares using the AR(1) method
- Estimating generalized least squares (GLS) equations
SESSION 5: Heteroskedasticity
- Graphing to detect heteroskedasticity
- Testing for heteroskedasticity: Park and White tests
- Remedies for heteroskedasticity: weighted least squares (WLS)
- Remedies for heteroskedasticity: heteroskedasticity corrected standard errors
SESSION 6: Time-Series Models, Unit Roots and Cointegration Tests
- Time-series models and some properties
- Box-Jenkins procedures
- The autocorrelation function (ACF)
- The partial autocorrelation function (PAC F)
- unit-root tests
- Relationships between non-stationary variables
- Cointegration tests
Dr. Mohamed Reda Abonazel
Institute of Statistical Studies and Research, Cairo University
mabonazel@hotmail.com