EViews_Student_Version_ppt.ppt
- 2. Today’s Workshop • Basic grasp of how EViews manages data • Creating Workfiles • Importing data • Running regressions • Performing basic tests • Creating/changing Series • Working with commands
- 3. Thinking About EViews • Workfile Central place to keep all of your work • Objects – Series (Numeric, no alpha series in student version) – Equations – Graphs – Groups *Always comes with series for a constant, c, and residuals, resid
- 4. Workfiles • Creating a Workfile – File → New → Workfile • Data Structure Time Series → Dated/Regular → Frequency + Date Range Cross-Sectional → Undated/Irregular → Range of observations • Save & Name (do not have to do this for this exercise) • New Pages (Eviews 6) – By clicking on the “New Page” label at the bottom of the Workfile you can create new pages • Select “By Frequency”
- 5. Exercise #1 • Open the Excel file EViewsLab_data.xls, we will be working with the “Macro” sheet • Create a new Workfile for today’s workshop
- 6. Importing Data • Copy/Past Method 1. Open new “Empty Group” • Quick → Empty Group • Click on Cell 1 and press the “Up” arrow on keyboard → 2. Open Excel • Make sure variable names are one constant “String” (no spaces!) • Troubleshoot for other problems 3. Copy Data 4. Paste into Eviews Cell 1
- 7. Exercise #2 • Import data Series from Excel sheet 1: Macro
- 8. Importing Data • Import Directly 1. Count the number of variables and CLOSE Excel file 2. Proc →Import →Read Text-Locus-File 3. Browse for Excel file 4.
- 9. Exercise #3 • Create a new page in the Workfile for the unstructured data in the “Micro” sheet • Import, directly, the data from the “Micro” sheet
- 10. Descriptive Statistics • Group – Stores select series together – Object → New Object → Group → Select Series → Name • Descriptive Statistics – When group spreadsheet is open: – View → Descriptive Statistics → Common Sample → Correlogram
- 11. Exercise #3 • Create a group for you INDEPENDENT variables (hint: consumption is your dependent variable) • Find the Standard Deviation for each variable • Run a correlation matrix of independent variables to determine if you might have multicolinearity (hint: look if off-diagonal absolute values are bigger than 0.5)
- 12. • Create a new Equation – In your Workfile: – Object → New Object → Equation Separated by spaces: *Dependent variable *Constant, c *Independent variables (or Group) Regressions Sample Range Type of Regression
- 13. • Output • Name = Save to Workfile Regression Tests & Fixes Estimate: Modify Regression This View Useful to Create Model To Run Tests Regression Summary Coefficient Summary Statistics SAVE!
- 14. • Looking at Residuals – In Equation View: – View → Actual, Fitted, Residual → Actual, Fitted, Residual Table • Plotting Resid Vs. Fitted Values – Generate fitted values – In Equation View: “Forecast” → OK (is named “variable”f) – In Workfile: Object → New Object → Graph • Graph: resid “variable”f • Options → Type → Scatter Regression Tests & Fixes
- 15. • Heteroskedasticity – In Equation View: – View → Residual Tests → White Heteroskedasticity (no cross) – Look at Chi-square value from a table (want a small value) – Fix: Click on “Estimate” • Click on “Options” → check box for “Heteroskedasticity consistent coefficient covarariance” → OK Regression Tests & Fixes
- 16. • Normality – View → Residual Tests → Histogram-Normality Test – Look at Jarque-Bera stat – Fix: Depending on skew, you can adjust variables (ex: square, log, etc) or add/delete variables Regression Tests & Fixes
- 17. • Correlation & Multicolinearity – Create Correlation Matrix: – Quick → Group Statistics → Correlations – Off-diagonal values should be less than 0.5 – Fix: Talk to your advisor Regression Tests & Fixes
- 18. Exercise #4 • Plot fitted values vs. residuals • Check for Heteroskedasticity and fix if necessary • Check for Multicolinearity • Check for Normality
- 19. Changing/Creating Variables • Edit Mode – In Spreadsheet: Toggle “Edit+/-” – CAREFUL! No “undo” • Generate new variable – In Workfile: • Click on “Genr” • Enter equation: “new variable name” = equation • Regular math function keys • Lag: variable(-1)
- 20. Just for Fun… • Opening a non-excel data file – Open peacekeeping.txt – Open Excel and open this .txt file from Excel • Delimitate correctly • Student Version does not use “alpha” objects (series with words) • Select only numeric variables or change alpha variables into numeric values – Import into EViews as before • Import Directly: Proc →Import →Read Text-Locus-File
- 21. Commands • Top, Left-Hand “Command Box” • Single commands • Batch (program) • Syntax: Command (Option) Argument
- 22. Commands • Frequently Used Commands: – show variable – genr variable = equation – sample n1 n2 • n1 and n2 represent the start and end of range • Or qualifiers such that: sample variable if >15 • Statistical Operations: – equation name .ls(h) dependent c independent variables – cor variables – group variables
- 23. Help! • For general instruction or commands: – EViews PDFs ! – Help → Users Guide (pdf) → Command & Programming Reference (pdf)
- 24. All Done! If you would like more, individual help please see the Technical Statistical Coordinator
Editor's Notes
- #4: • The View button lets you change the view that is displayed in the object window. The available choices will differ, depending upon the object type. • The Proc button provides access to a menu of procedures that are available for the object. • The Object button lets you manage your objects. You can store the object on disk, name, delete, copy, or print the object. • The Print button lets you print the current view of the object (the window contents). • The Name button allows you to name or rename the object. • The Freeze button creates a new object graph, table, or text object out of the current view.
- #14: Should be < 5.99 Chi-square with 2df at 5%
- #15: Should be < 5.99 Chi-square with 2df at 5%
- #16: Should be < 5.99 Chi-square with 2df at 5%
- #17: Should be < 5.99 Chi-square with 2df at 5%
- #18: Should be < 5.99 Chi-square with 2df at 5%