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Making regression tables from stored estimates


  • Ben Jann

    () (ETH Zurich)


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.

Suggested Citation

  • Ben Jann, 2005. "Making regression tables from stored estimates," Stata Journal, StataCorp LP, vol. 5(3), pages 288-308, September.
  • Handle: RePEc:tsj:stataj:v:5:y:2005:i:3:p:288-308

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    References listed on IDEAS

    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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    Cited by:

    1. Ben Jann, 2007. "Making regression tables simplified," Stata Journal, StataCorp LP, vol. 7(2), pages 227-244, June.
    2. John Luke Gallup, 2012. "A programmer's command to build formatted statistical tables," Stata Journal, StataCorp LP, vol. 12(4), pages 655-673, December.
    3. Michael Lokshin & Zurab Sajaia, 2008. "Creating print-ready tables in Stata," Stata Journal, StataCorp LP, vol. 8(3), pages 374-389, September.
    4. Giovanni L. Lo Magno, 2013. "Sar: Automatic generation of statistical reports using Stata and Microsoft Word for Windows," Stata Journal, StataCorp LP, vol. 13(1), pages 39-64, March.
    5. Maria Paola Caria & Rino Bellocco & Maria Rosaria Galanti & Nicholas J. Horton, 2011. "The impact of different sources of body mass index assessment on smoking onset: An application of multiple-source information models," Stata Journal, StataCorp LP, vol. 11(3), pages 386-402, September.
    6. Antoni, Manfred & Heineck, Guido, 2012. "Do literacy and numeracy pay off? : on the relationship between basic skills and earnings," IAB Discussion Paper 201221, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    7. Richard Williams, 2010. "Fitting heterogeneous choice models with oglm," Stata Journal, StataCorp LP, vol. 10(4), pages 540-567, December.
    8. repec:jss:jstsof:v:070:c03 is not listed on IDEAS
    9. Ben Jann & J. Scott Long, 2010. "Tabulating SPost results using estout and esttab," Stata Journal, StataCorp LP, vol. 10(1), pages 46-60, March.
    10. Atella, Vincenzo & Belotti, Federico & Depalo, Domenico & Piano Mortari, Andrea, 2014. "Measuring spatial effects in the presence of institutional constraints: The case of Italian Local Health Authority expenditure," Regional Science and Urban Economics, Elsevier, vol. 49(C), pages 232-241.
    11. Maarten L. Buis, 2007. "Stata tip 53: Where did my p-values go?," Stata Journal, StataCorp LP, vol. 7(4), pages 584-586, December.
    12. Carsten Sauer & Peter Valet & Stefan Liebig, 2013. "The Impact of within and between Occupational Inequalities on People's Justice Perceptions towards Their Own Earnings," SOEPpapers on Multidisciplinary Panel Data Research 567, DIW Berlin, The German Socio-Economic Panel (SOEP).

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    estout; estoutdef; estadd; estimates; regression table; latex; html;


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