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Plotting regression coefficients and other estimates


  • Ben Jann

    () (University of Bern)


Graphical display of regression results has become increasingly popular in presentations and in scientific literature because graphs are often much easier to read than tables. Such plots can be produced in Stata by the marginsplot command (see [R] marginsplot). However, while marginsplot is versatile and flexible, it has two major limitations: it can only process results left behind by margins (see [R] margins), and it can handle only one set of results at a 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 one graph. The default behavior of coefplot is to plot markers for coefficients and horizontal spikes for confidence intervals. However, coefplot can also produce other types of graphs. I illustrate the capabilities of coefplot by using a series of examples. Copyright 2014 by StataCorp LP.

Suggested Citation

  • Ben Jann, 2014. "Plotting regression coefficients and other estimates," Stata Journal, StataCorp LP, vol. 14(4), pages 708-737, December.
  • Handle: RePEc:tsj:stataj:v:14:y:2014:i:4:p:708-737
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    References listed on IDEAS

    1. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387, March.
    2. Arne Risa Hole, 2007. "Fitting mixed logit models by using maximum simulated likelihood," Stata Journal, StataCorp LP, vol. 7(3), pages 388-401, September.
    3. Chernozhukov, Victor & Hong, Han, 2003. "An MCMC approach to classical estimation," Journal of Econometrics, Elsevier, vol. 115(2), pages 293-346, August.
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    Cited by:

    1. Adongo, Jonathan O., 2017. "Legal jurisdiction, director liability law, and venture capitalists’ equity stakes in Africa," Research in International Business and Finance, Elsevier, vol. 40(C), pages 78-93.


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