The next example shows how to use Jann's esttab
command in
conjunction with markstat
to generate a nice table of estimates.
The code below fits two models to the fuel efficiency data and then compares
them side-by-side. We use the strict syntax and supress command echoing to
produce a dynamic report. Here is the input:
estimates.stmd
A Table of Estimates -------------------- The table below shows estimated differences in fuel efficiency between foreign and domestic cars with and without adjustment for weight, using gallons per 100 miles as the outcome. ```s/ quietly sysuse auto quietly gen gphm = 100/mpg eststo clear quietly eststo: regress gphm foreign quietly eststo: regress gphm foreign weight esttab ``` We see that on average foreign cars are more economical, but if we adjust for weight they are less fuel efficient, using `s %3.1f _b[foreign]` gallons *more* instead of one gallon *less* per 100 miles.
And this is how this is rendered by the command markstat using estimates, strict
.
Don't forget to specify the strict
option.
estimates.html
The table below shows estimated differences in fuel efficiency between foreign and domestic cars with and without adjustment for weight, using gallons per 100 miles as the outcome.
──────────────────────────────────────────── (1) (2) gphm gphm ──────────────────────────────────────────── foreign -1.005** 0.622** (-3.29) (3.11) weight 0.00163*** (13.74) _cons 5.318*** -0.0735 (31.92) (-0.18) ──────────────────────────────────────────── N 74 74 ──────────────────────────────────────────── t statistics in parentheses * p<0.05, ** p<0.01, *** p<0.001
We see that on average foreign cars are more economical, but if we adjust for weight they are less fuel efficient, using 0.6 gallons more instead of one gallon less per 100 miles.