Can esstab outputs both se, t and p at the same time?

[Lei Zhou]

In esttab help file, it can only output se or t or p value once a time, If i want them in one table, is there any for loop code can do this? The table is like this:

Thanks.

[Andrew Musau]

estout is from SSC (FAQ Advice #12). Look at the -cells()- option. There are plenty of examples in the forum if you search.

[Lei Zhou]

estout is from SSC (FAQ Advice #12). Look at the -cells()- option. There are plenty of examples in the forum if you search.

Thank you so much!

[Andrew Musau]

sysuse auto, clear
regress price mpg weight
esttab, cells("b se t p") drop(_cons)  nonumb label mlab(none) collab(coef SE t p-val)

Res.:

. esttab, cells("b se t p") drop(_cons) nonumb label mlab(none) collab(coef SE t p-val)

------------------------------------------------------------------------
                             coef           SE            t        p-val
------------------------------------------------------------------------
Mileage (mpg)           -49.51222     86.15604    -.5746808     .5673237
Weight (lbs.)            1.746559     .6413538     2.723238     .0081298
------------------------------------------------------------------------
Observations                   74                                      
------------------------------------------------------------------------

or some variation of this:

sysuse auto, clear
regress price mpg weight
esttab, cells("b(star) t p" se(par)) drop(_cons)  nonumb ///
label mlab(none) collab(coef t p-val) ///
starlevels(* 0.1 ** 0.05 *** 0.01) ///
addnote("Standard errors in parentheses")

Res.:

. esttab, cells("b(star) t p" se(par)) drop(_cons)  nonumb ///
> label mlab(none) collab(coef t p-val) ///
> starlevels(* 0.1 ** 0.05 *** 0.01) ///
> addnote("Standard errors in parentheses")

--------------------------------------------------------------
                             coef               t        p-val
--------------------------------------------------------------
Mileage (mpg)           -49.51222       -.5746808     .5673237
                       (86.15604)                             
Weight (lbs.)            1.746559***     2.723238     .0081298
                       (.6413538)                             
--------------------------------------------------------------
Observations                   74                             
--------------------------------------------------------------
Standard errors in parentheses