Making regression tables from stored estimates
Abstract. Organizing and archiving statistical results and processing a subset
of those results for publication are important and often underestimated issues
in conducting statistical analyses. Because automation of these tasks is often
poor, processing results produced by statistical packages is quite laborious and
vulnerable to error. I will therefore present a new package called estout that
facilitates and automates some of these tasks. This new command can be used
to produce regression tables for use with spreadsheets, LATEX, HTML, or word
processors. For example, the results for multiple models can be organized in
spreadsheets and can thus be archived in an orderly manner. Alternatively, the
results can be directly saved as a publication-ready table for inclusion in, for
example, a LATEX document. estout is implemented as a wrapper for estimates
table but has many additional features, such as support for mfx. However, despite
its flexibility, estout is—I believe—still very straightforward and easy to use.
Furthermore, estout can be customized via so-called defaults files. A tool to
make available supplementary statistics called estadd is also provided.