
- •Table of Contents
- •What’s New in EViews 5.0
- •What’s New in 5.0
- •Compatibility Notes
- •EViews 5.1 Update Overview
- •Overview of EViews 5.1 New Features
- •Preface
- •Part I. EViews Fundamentals
- •Chapter 1. Introduction
- •What is EViews?
- •Installing and Running EViews
- •Windows Basics
- •The EViews Window
- •Closing EViews
- •Where to Go For Help
- •Chapter 2. A Demonstration
- •Getting Data into EViews
- •Examining the Data
- •Estimating a Regression Model
- •Specification and Hypothesis Tests
- •Modifying the Equation
- •Forecasting from an Estimated Equation
- •Additional Testing
- •Chapter 3. Workfile Basics
- •What is a Workfile?
- •Creating a Workfile
- •The Workfile Window
- •Saving a Workfile
- •Loading a Workfile
- •Multi-page Workfiles
- •Addendum: File Dialog Features
- •Chapter 4. Object Basics
- •What is an Object?
- •Basic Object Operations
- •The Object Window
- •Working with Objects
- •Chapter 5. Basic Data Handling
- •Data Objects
- •Samples
- •Sample Objects
- •Importing Data
- •Exporting Data
- •Frequency Conversion
- •Importing ASCII Text Files
- •Chapter 6. Working with Data
- •Numeric Expressions
- •Series
- •Auto-series
- •Groups
- •Scalars
- •Chapter 7. Working with Data (Advanced)
- •Auto-Updating Series
- •Alpha Series
- •Date Series
- •Value Maps
- •Chapter 8. Series Links
- •Basic Link Concepts
- •Creating a Link
- •Working with Links
- •Chapter 9. Advanced Workfiles
- •Structuring a Workfile
- •Resizing a Workfile
- •Appending to a Workfile
- •Contracting a Workfile
- •Copying from a Workfile
- •Reshaping a Workfile
- •Sorting a Workfile
- •Exporting from a Workfile
- •Chapter 10. EViews Databases
- •Database Overview
- •Database Basics
- •Working with Objects in Databases
- •Database Auto-Series
- •The Database Registry
- •Querying the Database
- •Object Aliases and Illegal Names
- •Maintaining the Database
- •Foreign Format Databases
- •Working with DRIPro Links
- •Part II. Basic Data Analysis
- •Chapter 11. Series
- •Series Views Overview
- •Spreadsheet and Graph Views
- •Descriptive Statistics
- •Tests for Descriptive Stats
- •Distribution Graphs
- •One-Way Tabulation
- •Correlogram
- •Unit Root Test
- •BDS Test
- •Properties
- •Label
- •Series Procs Overview
- •Generate by Equation
- •Resample
- •Seasonal Adjustment
- •Exponential Smoothing
- •Hodrick-Prescott Filter
- •Frequency (Band-Pass) Filter
- •Chapter 12. Groups
- •Group Views Overview
- •Group Members
- •Spreadsheet
- •Dated Data Table
- •Graphs
- •Multiple Graphs
- •Descriptive Statistics
- •Tests of Equality
- •N-Way Tabulation
- •Principal Components
- •Correlations, Covariances, and Correlograms
- •Cross Correlations and Correlograms
- •Cointegration Test
- •Unit Root Test
- •Granger Causality
- •Label
- •Group Procedures Overview
- •Chapter 13. Statistical Graphs from Series and Groups
- •Distribution Graphs of Series
- •Scatter Diagrams with Fit Lines
- •Boxplots
- •Chapter 14. Graphs, Tables, and Text Objects
- •Creating Graphs
- •Modifying Graphs
- •Multiple Graphs
- •Printing Graphs
- •Copying Graphs to the Clipboard
- •Saving Graphs to a File
- •Graph Commands
- •Creating Tables
- •Table Basics
- •Basic Table Customization
- •Customizing Table Cells
- •Copying Tables to the Clipboard
- •Saving Tables to a File
- •Table Commands
- •Text Objects
- •Part III. Basic Single Equation Analysis
- •Chapter 15. Basic Regression
- •Equation Objects
- •Specifying an Equation in EViews
- •Estimating an Equation in EViews
- •Equation Output
- •Working with Equations
- •Estimation Problems
- •Chapter 16. Additional Regression Methods
- •Special Equation Terms
- •Weighted Least Squares
- •Heteroskedasticity and Autocorrelation Consistent Covariances
- •Two-stage Least Squares
- •Nonlinear Least Squares
- •Generalized Method of Moments (GMM)
- •Chapter 17. Time Series Regression
- •Serial Correlation Theory
- •Testing for Serial Correlation
- •Estimating AR Models
- •ARIMA Theory
- •Estimating ARIMA Models
- •ARMA Equation Diagnostics
- •Nonstationary Time Series
- •Unit Root Tests
- •Panel Unit Root Tests
- •Chapter 18. Forecasting from an Equation
- •Forecasting from Equations in EViews
- •An Illustration
- •Forecast Basics
- •Forecasting with ARMA Errors
- •Forecasting from Equations with Expressions
- •Forecasting with Expression and PDL Specifications
- •Chapter 19. Specification and Diagnostic Tests
- •Background
- •Coefficient Tests
- •Residual Tests
- •Specification and Stability Tests
- •Applications
- •Part IV. Advanced Single Equation Analysis
- •Chapter 20. ARCH and GARCH Estimation
- •Basic ARCH Specifications
- •Estimating ARCH Models in EViews
- •Working with ARCH Models
- •Additional ARCH Models
- •Examples
- •Binary Dependent Variable Models
- •Estimating Binary Models in EViews
- •Procedures for Binary Equations
- •Ordered Dependent Variable Models
- •Estimating Ordered Models in EViews
- •Views of Ordered Equations
- •Procedures for Ordered Equations
- •Censored Regression Models
- •Estimating Censored Models in EViews
- •Procedures for Censored Equations
- •Truncated Regression Models
- •Procedures for Truncated Equations
- •Count Models
- •Views of Count Models
- •Procedures for Count Models
- •Demonstrations
- •Technical Notes
- •Chapter 22. The Log Likelihood (LogL) Object
- •Overview
- •Specification
- •Estimation
- •LogL Views
- •LogL Procs
- •Troubleshooting
- •Limitations
- •Examples
- •Part V. Multiple Equation Analysis
- •Chapter 23. System Estimation
- •Background
- •System Estimation Methods
- •How to Create and Specify a System
- •Working With Systems
- •Technical Discussion
- •Vector Autoregressions (VARs)
- •Estimating a VAR in EViews
- •VAR Estimation Output
- •Views and Procs of a VAR
- •Structural (Identified) VARs
- •Cointegration Test
- •Vector Error Correction (VEC) Models
- •A Note on Version Compatibility
- •Chapter 25. State Space Models and the Kalman Filter
- •Background
- •Specifying a State Space Model in EViews
- •Working with the State Space
- •Converting from Version 3 Sspace
- •Technical Discussion
- •Chapter 26. Models
- •Overview
- •An Example Model
- •Building a Model
- •Working with the Model Structure
- •Specifying Scenarios
- •Using Add Factors
- •Solving the Model
- •Working with the Model Data
- •Part VI. Panel and Pooled Data
- •Chapter 27. Pooled Time Series, Cross-Section Data
- •The Pool Workfile
- •The Pool Object
- •Pooled Data
- •Setting up a Pool Workfile
- •Working with Pooled Data
- •Pooled Estimation
- •Chapter 28. Working with Panel Data
- •Structuring a Panel Workfile
- •Panel Workfile Display
- •Panel Workfile Information
- •Working with Panel Data
- •Basic Panel Analysis
- •Chapter 29. Panel Estimation
- •Estimating a Panel Equation
- •Panel Estimation Examples
- •Panel Equation Testing
- •Estimation Background
- •Appendix A. Global Options
- •The Options Menu
- •Print Setup
- •Appendix B. Wildcards
- •Wildcard Expressions
- •Using Wildcard Expressions
- •Source and Destination Patterns
- •Resolving Ambiguities
- •Wildcard versus Pool Identifier
- •Appendix C. Estimation and Solution Options
- •Setting Estimation Options
- •Optimization Algorithms
- •Nonlinear Equation Solution Methods
- •Appendix D. Gradients and Derivatives
- •Gradients
- •Derivatives
- •Appendix E. Information Criteria
- •Definitions
- •Using Information Criteria as a Guide to Model Selection
- •References
- •Index
- •Symbols
- •.DB? files 266
- •.EDB file 262
- •.RTF file 437
- •.WF1 file 62
- •@obsnum
- •Panel
- •@unmaptxt 174
- •~, in backup file name 62, 939
- •Numerics
- •3sls (three-stage least squares) 697, 716
- •Abort key 21
- •ARIMA models 501
- •ASCII
- •file export 115
- •ASCII file
- •See also Unit root tests.
- •Auto-search
- •Auto-series
- •in groups 144
- •Auto-updating series
- •and databases 152
- •Backcast
- •Berndt-Hall-Hall-Hausman (BHHH). See Optimization algorithms.
- •Bias proportion 554
- •fitted index 634
- •Binning option
- •classifications 313, 382
- •Boxplots 409
- •By-group statistics 312, 886, 893
- •coef vector 444
- •Causality
- •Granger's test 389
- •scale factor 649
- •Census X11
- •Census X12 337
- •Chi-square
- •Cholesky factor
- •Classification table
- •Close
- •Coef (coefficient vector)
- •default 444
- •Coefficient
- •Comparison operators
- •Conditional standard deviation
- •graph 610
- •Confidence interval
- •Constant
- •Copy
- •data cut-and-paste 107
- •table to clipboard 437
- •Covariance matrix
- •HAC (Newey-West) 473
- •heteroskedasticity consistent of estimated coefficients 472
- •Create
- •Cross-equation
- •Tukey option 393
- •CUSUM
- •sum of recursive residuals test 589
- •sum of recursive squared residuals test 590
- •Data
- •Database
- •link options 303
- •using auto-updating series with 152
- •Dates
- •Default
- •database 24, 266
- •set directory 71
- •Dependent variable
- •Description
- •Descriptive statistics
- •by group 312
- •group 379
- •individual samples (group) 379
- •Display format
- •Display name
- •Distribution
- •Dummy variables
- •for regression 452
- •lagged dependent variable 495
- •Dynamic forecasting 556
- •Edit
- •See also Unit root tests.
- •Equation
- •create 443
- •store 458
- •Estimation
- •EViews
- •Excel file
- •Excel files
- •Expectation-prediction table
- •Expected dependent variable
- •double 352
- •Export data 114
- •Extreme value
- •binary model 624
- •Fetch
- •File
- •save table to 438
- •Files
- •Fitted index
- •Fitted values
- •Font options
- •Fonts
- •Forecast
- •evaluation 553
- •Foreign data
- •Formula
- •forecast 561
- •Freq
- •DRI database 303
- •F-test
- •for variance equality 321
- •Full information maximum likelihood 698
- •GARCH 601
- •ARCH-M model 603
- •variance factor 668
- •system 716
- •Goodness-of-fit
- •Gradients 963
- •Graph
- •remove elements 423
- •Groups
- •display format 94
- •Groupwise heteroskedasticity 380
- •Help
- •Heteroskedasticity and autocorrelation consistent covariance (HAC) 473
- •History
- •Holt-Winters
- •Hypothesis tests
- •F-test 321
- •Identification
- •Identity
- •Import
- •Import data
- •See also VAR.
- •Index
- •Insert
- •Instruments 474
- •Iteration
- •Iteration option 953
- •in nonlinear least squares 483
- •J-statistic 491
- •J-test 596
- •Kernel
- •bivariate fit 405
- •choice in HAC weighting 704, 718
- •Kernel function
- •Keyboard
- •Kwiatkowski, Phillips, Schmidt, and Shin test 525
- •Label 82
- •Last_update
- •Last_write
- •Latent variable
- •Lead
- •make covariance matrix 643
- •List
- •LM test
- •ARCH 582
- •for binary models 622
- •LOWESS. See also LOESS
- •in ARIMA models 501
- •Mean absolute error 553
- •Metafile
- •Micro TSP
- •recoding 137
- •Models
- •add factors 777, 802
- •solving 804
- •Mouse 18
- •Multicollinearity 460
- •Name
- •Newey-West
- •Nonlinear coefficient restriction
- •Wald test 575
- •weighted two stage 486
- •Normal distribution
- •Numbers
- •chi-square tests 383
- •Object 73
- •Open
- •Option setting
- •Option settings
- •Or operator 98, 133
- •Ordinary residual
- •Panel
- •irregular 214
- •unit root tests 530
- •Paste 83
- •PcGive data 293
- •Polynomial distributed lag
- •Pool
- •Pool (object)
- •PostScript
- •Prediction table
- •Principal components 385
- •Program
- •p-value 569
- •for coefficient t-statistic 450
- •Quiet mode 939
- •RATS data
- •Read 832
- •CUSUM 589
- •Regression
- •Relational operators
- •Remarks
- •database 287
- •Residuals
- •Resize
- •Results
- •RichText Format
- •Robust standard errors
- •Robustness iterations
- •for regression 451
- •with AR specification 500
- •workfile 95
- •Save
- •Seasonal
- •Seasonal graphs 310
- •Select
- •single item 20
- •Serial correlation
- •theory 493
- •Series
- •Smoothing
- •Solve
- •Source
- •Specification test
- •Spreadsheet
- •Standard error
- •Standard error
- •binary models 634
- •Start
- •Starting values
- •Summary statistics
- •for regression variables 451
- •System
- •Table 429
- •font 434
- •Tabulation
- •Template 424
- •Tests. See also Hypothesis tests, Specification test and Goodness of fit.
- •Text file
- •open as workfile 54
- •Type
- •field in database query 282
- •Units
- •Update
- •Valmap
- •find label for value 173
- •find numeric value for label 174
- •Value maps 163
- •estimating 749
- •View
- •Wald test 572
- •nonlinear restriction 575
- •Watson test 323
- •Weighting matrix
- •heteroskedasticity and autocorrelation consistent (HAC) 718
- •kernel options 718
- •White
- •Window
- •Workfile
- •storage defaults 940
- •Write 844
- •XY line
- •Yates' continuity correction 321

Saving Graphs to a File—429
Saving Graphs to a File
When working with graph objects, EViews also allows you to create a metafile or PostScript file.
You may, at any time, right mouse click or click on Proc, then select Save graph to disk...
to bring up the dialog.
In the top portion of the dialog, you should provide the name of the file you wish to create. EViews will automatically append an extension of the proper type to the name (here, “.EPS” since we are saving an Encapsulated PostScript file).
Next, select the File type, and any options associated with the output type. You may select Metafile - placeable, Enhanced Metafile, or Encapsulated PostScript. You
may elect to save the graph in color or not, and, for PostScript files, include a bounding box or choose the graph orientation.
Lastly, you should select the Output graph size. The size may be specified in inches, centimeters, printer points, or picas. If the Lock aspect ratio checkbox is selected, changes to the Width or the Height will generate corresponding changes in the other dimension. If you wish to scale your graph in a non-proportionate fashion, you should uncheck this box.
The default graph file saving options may be set in the global options dialog by selecting Options/Graphics Defaults.... (see “Graphics Defaults” on page 941).
Graph Commands
For those of you who wish to automate these procedures, for example to produce a regular report, EViews allows you to perform extensive graph customization from the command line or using programs. See Chapter 5, “Working with Graphs”, on page 59 and “Graph” (p. 161) in the Command and Programming Reference for additional details.
Creating Tables
In EViews, a table may be an object view or a table object. Table views are object views that contain formatted text or numbers that are aligned in columns and rows. Examples of

430—Chapter 14. Graphs, Tables, and Text Objects
table views are the spreadsheet views of a series and the estimation output views of an equation. There are a limited set of customizations that are available for table views.
A table object is an independent object that contains formatted text or numbers. Table objects may be created directly, by issuing a table declaration, or indirectly, by freezing a table view. As with graph objects, table objects are “not live” in the sense that they do not reflect the current contents of the underlying object, but are based instead upon the contents of the object at the time the object was frozen. Table objects also allow for a full set of customizations.
While many of the features described here apply to both table views and table objects, the remaining discussion focuses on customization of table objects. Working with table views is described elsewhere (see, for example “Changing the Spreadsheet Display” on page 88).
Table Basics
The most basic operations in a table involve selecting cells and editing cell values.
Selecting Cells
Selecting one or more cells is one of the most common tasks in working with table views and table objects. For the most part, you will find that cell selection works as it does everywhere else in Windows, but a brief review may prove useful.
The simplest selection is for a single cell. Simply click on the cell you wish to select. If the table is not in edit mode, the cell will be shaded. If the table is in edit mode, the cell will be surrounded by a black border, and the contents of the cell will be displayed in the table edit window.
For the selection of multiple cells, EViews uses the concept of an anchor cell to determine a selection region. The anchor cell is used to mark the start of the selection
region and is used to indicate how a selection will change as you move the mouse or use keystrokes.
When edit mode is off, the anchor cell is marked as the cell with the black square in one of the four corners of the cell. When edit mode is on, the anchor cell is marked with a black border around the cell. You may toggle between edit mode on and edit mode off by clicking on the Edit +/- button on the object toolbar, or alternately, by right mouse clicking and selecting Edit +/-.
The easiest way to highlight a region is to (left) click in a cell to set an anchor point, then, while holding down the mouse but-

Table Basics—431
ton, move the mouse to select additional cells. In addition, cell selection shortcuts allow you to select rows and columns by clicking on row and column headers, and to select rectangular regions by clicking on a cell to set an anchor cell, then SHIFT-click to select the rectangular region defined by the anchor and ending cells. You may enter CTRL-A to select all of the cells in a table.
Some of the more frequently used selection tools include:
To select |
Action |
|
|
Text in a cell |
If edit mode is turned on, select the cell, double- |
|
click in it, and then select the text in the cell. Or |
|
select the cell and then select the text in the edit |
|
field. |
|
|
A single cell |
Click the cell, or use the arrow keys to move the |
|
anchor cell. |
|
|
A range of cells |
Click the first cell of the range, and then drag to the |
|
last cell. Or click in a cell to set the anchor, then |
|
SHIFT-click in the last cell you wish to include. Or |
|
set the anchor, and then SHIFT and press the arrow |
|
keys until desired cells are selected. |
|
|
All cells in a table |
Click the corner cell shared by the column and row |
|
header (the corner cell is not visible in some output |
|
views). Or press CTRL+A. |
|
|
An entire row |
Click the row heading. |
|
|
An entire column |
Click the column heading. |
|
|
Adjacent rows or |
Click and drag across the row or column headers. Or |
columns |
select the first row or column; then hold down |
|
SHIFT and click the last row or column heading. |
|
|
More or fewer cells |
Hold down SHIFT and click the last cell you want to |
than the current |
include in the new selection. The rectangular range |
selection |
between the active cell and the cell you click |
|
becomes the new selection. Or hold down SHIFT |
|
and press the arrow keys until selection is correct. |
|
|
Note that row and column header selection is not always available in table views since the headers are not always displayed. For example, the estimation output view of an equation is a table that does not contain header lines. Freezing the view creates a table object that allows for cell selection using the visible headers.

432—Chapter 14. Graphs, Tables, and Text Objects
Editing Cell Values
To enter or change the data in a table, you must first display the table edit window by enabling edit mode, and selecting a cell to be modified. Here, we see a table that is in edit mode, with the contents of the A1 cell displayed in the edit window just below the toolbar.
To modify the contents of the cell, simply type in the edit window. Alternately, you may double click in the cell to edit the contents. EViews will then allow you to edit the cell in place.
You may provide either alphanumeric or numeric input. If your text may be interpreted as a number, EViews will interpret the input and store the value as
a number. Since the table value is stored as a number it may later be formatted using the numeric formatting tools. You may, for example, change the display of the number to scientific notation, or you may display numbers with 4 digits of precision (see “Content Formatting” on page 434).
Note that you may enter numeric expressions and have EViews evaluate them prior to placing them in the table. To evaluate a numeric expression into a cell, type “=” before the expression. For example, entering the text “=4*5” will result in a cell value of “20”. Entering an invalid numeric expression will set the cell to a numeric NA.
This latter example raises a minor issue associated with entering missing values into a table. If the text “NA” is entered into a table cell, the cell value will be set to the string “NA”, not to the missing value NA. To enter a numeric missing value, you should enter the string “=NA” into the cell. We point out that the choice between entering the “NA” string or the NA value into a cell has consequences for auto-justification, or when saving values to a file.
Basic Table Customization
You may perform basic customization of a table object by attaching a title, by adding or hiding the grid lines, or by resizing the rows or columns.