Generate series.
This procedure allows you to generate multiple series using the cross-section identifiers in a pool.
Syntax
pool_name.genr(option) ser_name = expression
You may use the cross section identifier “?” in the series name and/or in the expression on the right-hand side.
Options
prompt | Force the dialog to appear from within a program. |
Examples
The commands,
pool pool1
pool1.add 1 2 3
pool1.genr y? = x? - @mean(x?)
are equivalent to generating separate series for each cross-section:
genr y1 = x1 - @mean(x1)
genr y2 = x2 - @mean(x2)
genr y3 = x3 - @mean(x3)
Similarly:
pool pool2
pool2.add us uk can
pool2.genr y_? = log(x_?) - log(x_us)
generates three series Y_US, Y_UK, Y_CAN that are the log differences from X_US. Note that Y_US=0.
It is worth noting that the pool genr command simply loops across the cross-section identifiers, performing the evaluations using the appropriate substitution. Thus, the command,
pool2.genr z = y_?
is equivalent to entering:
genr z = y_us
genr z = y_uk
genr z = y_can
so that upon completion, the ordinary series Z will contain Y_CAN.
Cross-references
See
“Pooled Time Series, Cross-Section Data” for a discussion of the computation of pools, and a description of individual and balanced samples.
See
Series::series for a discussion of the expressions allowed in
genr.