280—Appendix B. Command Reference
pattern(index) |
Sets the default line pattern to the type specified by |
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index. index can be an integer from 1 to 12 or one of |
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the matching keywords (“solid”, “dash1” through |
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“dash10”, “none”). See setelem (p. 449) for a descrip- |
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tion of the available patterns. The “none” keyword |
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turns on solid lines. |
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existing |
Apply the default settings to all existing line/shade |
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objects in the graph. |
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Examples
graph1.drawdefault linecolor(blue) width(.25) existing
changes the default setting for new line/shade objects. New lines added to the graph will now be drawn in blue, with a width of 0.25 points. In addition, all existing line and shade objects will be updated with the graph default settings. Note that in addition to the line color and width settings specified in the command, the existing default line pattern and shade colors will be applied to the line and shade objects in graph.
graph1.drawdefault existing
updates all line and shade objects in the graph with the currently specified default draw object settings.
Cross-references
See Chapter 14, “Graphs, Tables, and Text Objects”, on page 413 of the User’s Guide for a discussion of graph options.
See draw (p. 277). See also “Graph” (p. 161) for a summary of the graph object command language.
driconvert Command
Convert the entire DRI Basic Economics database into an EViews database.
You must create an EViews database to store the converted DRI data before you use this command. This command may be very time-consuming.
Syntax
Command: driconvert db_name
drop—281
Follow the command by listing the name of an existing EViews database into which you would like to copy the DRI data. You may include a path name to specify a database not in the default path.
Examples
dbcreate dribasic
driconvert dribasic
driconvert c:\mydata\dridbase
The first line creates a new (empty) database named DRIBASIC in the default directory. The second line copies all the data in the DRI Basic Economics database into in the DRIBASIC database. The last example copies the DRI data into the database DRIDBASE that is located in the C:\MYDATA directory.
Cross-references
See Chapter 10, “EViews Databases”, on page 259 of the User’s Guide for a discussion of EViews databases.
See also dbcreate (p. 265) and db (p. 263).
drop |
Group Proc | Pool Proc |
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Drops series from a group or drop cross-section members from a pool.
Syntax
Group Proc: |
group_name.drop ser1 [ser2 ser3 ...] |
Pool Proc: |
pool_name.drop id1 [id2 id3 ...] |
List the series or cross-section members to be dropped from the group or pool.
Examples
group gdplags gdp(-1 to -4)
gdplags.drop gdp(-4) gdp(-3)
drops the two series GDP(-4) and GDP(-3) from the group GDPLAGS.
crossc.drop jpn kor hk
drops the cross-section members JPN, KOR, and HK from the pool CROSSSC.
282—Appendix B. Command Reference
Cross-references
See “Groups” on page 91 of the User’s Guide for additional discussion of groups. “Crosssection Identifiers” on page 825 of the User’s Guide discusses pool identifiers.
See also add (p. 198).
dtable |
Group View |
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Dated data report table.
This group view is designed to make tables for reporting and presenting data, forecasts, and simulation results. You can display various transformations and various frequencies of the data in the same table.
The dtable view is currently available only for annual, semi-annual, quarterly, or monthly workfiles.
Syntax
Group View: |
group_name.dtable(options) |
Options
p |
Print the report table. |
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Examples
freeze(report) group1.dtable
freezes the dated table view of GROUP1 and saves it as a table object named REPORT.
Cross-references
See “Creating and Specifying a Dated Data Table” on page 364 of the User’s Guide for a description of dated data tables and formatting options. Note that most of the options for formatting the table are only available interactively from the window.
ec |
Var Method |
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Estimate a vector error correction model (VEC).
Syntax
Var Method: |
var_name.ec(trend, n) lag_pairs endog_list [@ exog_list] |
ec—283
Specify the order of the VEC by entering one or more pairs of lag intervals, then list the series or groups to be used as endogenous variables. Note that the lag orders are those of the first differences, not the levels. If you are comparing results to another software program, you should be certain that the specifications for the lag orders are comparable.
You may include exogenous variables, such as seasonal dummies, in the VEC by including an “@”-sign followed by the list of series or groups. Do not include an intercept or trend in the VEC specification, these terms should be specified using options, as described below.
You should specify the trend option and the number of cointegrating equations n to use in parentheses, separated by a comma (the default is n=1). You must choose the trend from the following five alternatives:
aNo deterministic trend in the data, and no intercept or trend in the cointegrating equation.
bNo deterministic trend in the data, and an intercept but no trend in the cointegrating equation.
c (default) |
Linear trend in the data, and an intercept but no trend |
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in the cointegrating equation. |
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dLinear trend in the data, and both an intercept and a trend in the cointegrating equation.
eQuadratic trend in the data, and both an intercept and a trend in the cointegrating equation.
restrict |
Impose restrictions. See append (p. 205) and coint |
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(p. 245). |
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m= integer |
Maximum number of iterations for restricted estimation |
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(only valid if you choose the restrict option). |
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c = scalar |
Convergence criterion for restricted estimation. (only |
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valid if you choose the restrict option). |
Options
p |
Print the results view. |
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Examples
var macro1.ec 1 4 m1 gdp tb3
declares a var object MACRO1 and estimates a VEC with four lagged first differences, three endogenous variables and one cointegrating equation using the default trend option “c”.