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Making regression tables from stored estimates

  • Ben Jann

    ()

    (ETH Zurich)

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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. Copyright 2005 by StataCorp LP.

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Article provided by StataCorp LP in its journal Stata Journal.

Volume (Year): 5 (2005)
Issue (Month): 3 (September)
Pages: 288-308

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Handle: RePEc:tsj:stataj:v:5:y:2005:i:3:p:288-308
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  1. Roger Newson, 2003. "Confidence intervals and p-values for delivery to the end user," Stata Journal, StataCorp LP, vol. 3(3), pages 245-269, September.
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