Germán Rodríguez
Stata Markdown Princeton University

## Estimates

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`

## 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.

```────────────────────────────────────────────
(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.