stats(scalarlist[, stats_subopts]) specifies one or
more scalar statistics - separated by white space - to be displayed
at the bottom of the table. The scalarlist may contain e()
scalars and the following statistics:

aic Akaike's information criterion

bic Schwarz's information criterion

rank rank of e(V), i.e. the number of free parameters in model

p the p-value of the model (overall model significance)

See help estimates for details on the aic and bic statistics.
The rules for the determination of p are as follows (note that although
the procedure outlined below is appropriate for most models, there might be
some models for which it is not):

1) p-value provided: If the e(p) scalar is provided by the
estimation command, it will be interpreted as indicating the p-value
of the model.

2) F test: If e(p) is not provided, estout checks for the
presence of the e(df_m), e(df_r), and e(F)
scalars and, if they are present, the p-value of the model will be
calculated as Ftail(df_m,df_r,F). This p-value corresponds to
the standard overall F test of linear regression.

3) chi2 test: Otherwise, if neither e(p) nor e(F) is
provided, estout checks for the presence of e(df_m) and
e(chi2) and, if they are present, calculates the p-value as
chi2tail(df_m,chi2). This p-value corresponds to the
Likelihood-Ratio or Wald chi2 test.

4) If neither e(p), e(F), nor e(chi2)
is available, no p-value will be reported.

The following stats_subopts are available. Use:

fmt(fmtlist) to set the display formats for the scalar
statistics in scalarlist. For instance, fmt(%9.3f %9.0f)
would be a good choice for stats(r2_a N). See help format. The
last format in fmtlist is used for the remaining scalars if
scalarlist has more elements than fmtlist does. Thus, only one
format need be specified if all scalars are to be displayed in the same
format. If no format is specified, the default format is the display format
of the coefficients.

labels(str_list[, label_subopts])
to specify labels for the scalars in scalarlist. If specified, the labels are
used instead of the scalar names. For example:

. estout ..., stats(r2_a N, labels("Adj. R-Square" "Number of Cases"))

star[(star_scalarlist)] to specify that the overall
significance of the model be denoted by stars. The stars are attached to
the scalar statistics specified in star_scalarlist. If
star_scalarlist is omitted, the stars are attached to the first
reported scalar statistic. The printing of the stars is suppressed in
empty results cells (i.e. if the scalar statistic in question is missing
for a certain model). The determination of the model significance is
based on the p-value of the model (see above).

Hint: It is possible to attach the stars to different scalar statistics
within the same table. For example, specify
stats(,star(r2_a r2_p))
when tabulating OLS estimates and, say, probit estimates. For
the OLS models, the F test will be carried out and the significance
stars will be attached to the r2_a; for the probit models, the
chi2 test will be used and the stars will appear next to the
r2_p.