Here is the Stata code that I have tried:
eststo clear
sysuse auto, clear
eststo Dom: estpost sum rep78 mpg turn trunk weight length if foreign==0
eststo For: estpost sum rep78 mpg turn trunk weight length if foreign==1
esttab Dom For, cells("mean(fmt(2))" "sd") ///
nonumber nodepvars noobs se collabels(none) mlabels(, lhs("Var") title)
Below is also the output:
--------------------------------------
Var Dom For
--------------------------------------
rep78 3.02 4.29
0.84 0.72
mpg 19.83 24.77
4.74 6.61
turn 41.44 35.41
3.97 1.50
trunk 14.75 11.41
4.31 3.22
weight 3317.12 2315.91
695.36 433.00
length 196.13 168.55
20.05 13.68
--------------------------------------
What this does is to compute the mean and standard deviation for several variables using summarize
. This is done separately based on a condition (once for foreign observations and once for non-foreign observations).
The results, mean and standard deviation, are then displayed via esttab
. I will ultimately want to get this in LaTeX, but this example shows what the result is in Stata for the sake of simplicity.
I have two questions:
How can I get the standard deviations to be shown in parentheses?
Is it possible to include any lines between the variables to separate the two different groups?
I have something like this in mind:
--------------------------------------
Var Dom For
--------------------------------------
Variable Group 1:
--------------------------------------
rep78 3.02 4.29
(0.84) (0.72)
mpg 19.83 24.77
(4.74) (6.61)
turn 41.44 35.41
(3.97) (1.50)
--------------------------------------
Variable Group 2:
--------------------------------------
trunk 14.75 11.41
(4.31) (3.22)
weight 3317.12 2315.91
(695.36) (433.00)
length 196.13 168.55
(20.05) (13.68)
--------------------------------------
I would like to use eststo
, etc. if possible. I would prefer that it be as automated as possible, but I am open to exporting matrices from Stata into LaTeX or using fragments if that is what it takes. If this is not possible, I am also open to other solutions.