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Plotting regression coefficients and other estimates in Stata

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  • Ben Jann

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Abstract

Graphical presentation of regression results has become increasingly popular in the scientific literature, as graphs are much easier to read than tables in many cases. In Stata such plots can be produced by the -marginsplot- command. However, while -marginsplot- is very versatile and flexible, it has two major limitations: it can only process results left behind by -margins- and it can only handle one set of results at the time. In this article I introduce a new command called -coefplot- that overcomes these limitations. It plots results from any estimation command and combines results from several models into a single graph. The default behavior of -coefplot- is to plot markers for coefficients and horizontal spikes for confidence intervals. However, -coefplot- can also produce various other types of graphs. The capabilities of -coefplot- are illustrated in this article using a series of examples.

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File URL: ftp://repec.sowi.unibe.ch/files/wp1/jann-2013-coefplot.pdf
File Function: Revised version, 2014
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Bibliographic Info

Paper provided by University of Bern, Department of Social Sciences in its series University of Bern Social Sciences Working Papers with number 1.

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Length: 39 pages
Date of creation: 23 Nov 2013
Date of revision: 06 Jun 2014
Handle: RePEc:bss:wpaper:1

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Web page: http://www.sowi.unibe.ch/

Related research

Keywords: coefplot; marginsplot; margins; regression plot; coefficients plot; ropeladder plot;

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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.
  2. John Luke Gallup, 2012. "A new system for formatting estimation tables," Stata Journal, StataCorp LP, vol. 12(1), pages 3-28, March.
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Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Coefplot for Stata
    by Mark Egan in Economics, Psychology and Policy on 2014-04-03 19:43:00
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Cited by:
  1. Ben Jann & Simon Seiler, 2014. "A new methodological approach for studying intergenerational mobility with an application to Swiss data," University of Bern Social Sciences Working Papers 5, University of Bern, Department of Social Sciences.

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