Stata: adding coefficients to estout

stata

Solution

You can use the `layout`, `star` and `fmt` sub-options to format the added scalars like this:

estout, cells(b(star fmt(3)) t(par fmt(2)))  ///
     stats(skal skalsd r2 N, layout(@ (@) @ @) star(skal) labels("Linear Combination" "S.E." R-squared "N. of cases") fmt(%9.2f %9.2f %9.2f %12.0f)) ///
     label legend varlabels(_cons Constant)

These options are documented here. As far as I know, the method in your question is the only way to do this.

Problem

I want to output the results of several regressions as a nicely formatted LaTeX table and am happy to see that for most cases the `estout` package on SSC seems to do exactly that. However, what I want is a bit special: Between the table section that shows the coefficient estimates and their standard errors, and the section that shows R^2 and the like, I would like to add a section that shows point estimates and standard errors (bonus points for stars) for particular linear combinations of the coefficients. Both point estimates and standard errors are easily computed via `lincom` but the best solution I've found so far for getting these numbers into the table involves the massily hacky addition of these numbers, one `estadd scalar ...` at a time. Is there a more elegant way to do this? Example code: ``` sysuse auto eststo, title("Model 1"): regress price weight mpg lincom weight+mpg estadd scalar skal r(estimate) estadd scalar skalsd r(se) eststo, title("Model 2"): regress price weight mpg foreign lincom weight+mpg estadd scalar skal r(estimate) estadd scalar skalsd r(se) label variable foreign "Car type (1=foreign)" estout, cells(b(star fmt(3)) t(par fmt(2))) /// stats(skal skalsd r2 N, labels("Linear Combination" "S.E." R-squared "N. of cases")) /// label legend varlabels(_cons Constant) ```

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