Making regression tables from stored estimates

Jann, Ben (2005). Making regression tables from stored estimates. Stata journal, 5(3), pp. 288-308. Stata Press

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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.

Item Type:

Journal Article (Original Article)

Division/Institute:

03 Faculty of Business, Economics and Social Sciences > Social Sciences > Institute of Sociology

UniBE Contributor:

Jann, Ben

Subjects:

300 Social sciences, sociology & anthropology

ISSN:

1536-867X

Publisher:

Stata Press

Language:

English

Submitter:

Ben Jann

Date Deposited:

19 Apr 2016 16:22

Last Modified:

19 Apr 2016 16:22

BORIS DOI:

10.7892/boris.67677

URI:

https://boris.unibe.ch/id/eprint/67677

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