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Making regression tables simplified AgEcon
Jann, Ben.
estout, introduced by Jann (Stata Journal 5: 288–308), is a useful tool for producing regression tables from stored estimates. However, its syntax is relatively complex and commands may turn out long even for simple tables. Furthermore, having to store the estimates beforehand can be cumbersome. To facilitate the production of regression tables, I therefore present here two new commands called eststo and esttab. eststo is a wrapper for official Stata’s estimates store and simplifies the storing of estimation results for tabulation. esttab, on the other hand, is a wrapper for estout and simplifies compiling nice-looking tables from the stored estimates without much typing. I also provide updates to estout and estadd.
Tipo: Article Palavras-chave: Csv; Estadd; Estimates; Estout; Eststo; Esttab; Excel; Html; Latex; Regression table; Rtf; Word; Research Methods/ Statistical Methods.
Ano: 2007 URL: http://purl.umn.edu/119271
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Making regression tables from stored estimates AgEcon
Jann, Ben.
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...
Tipo: Journal Article Palavras-chave: Estout; Estoutdef; Estadd; Estimates; Regression table; Latex; Html; Research Methods/ Statistical Methods.
Ano: 2005 URL: http://purl.umn.edu/117522
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