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Simple logit and probit marginal effects in R

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  • Alan Fernihough

Abstract

This paper outlines a simple routine to calculate the marginal effects of logit and probit regressions using the popular statistical software package R. I compare results obtained using this procedure with those produced using Stata. An extension of this routine to the generalized linear mixed effects regression is also presented.

Suggested Citation

  • Alan Fernihough, 2011. "Simple logit and probit marginal effects in R," Working Papers 201122, School of Economics, University College Dublin.
  • Handle: RePEc:ucn:wpaper:201122
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    File URL: http://hdl.handle.net/10197/3404
    File Function: First version, 2011
    Download Restriction: no

    Citations

    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Probit/Logit Marginal Effects in R
      by diffuseprior in DiffusePrioR on 2012-04-23 16:15:35
    2. Marginal Effects vs Odds Ratios
      by Matt Bogard in Econometric Sense on 2016-03-12 10:32:00

    Citations

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    Cited by:

    1. Romano, A.A. & Scandurra, G. & Carfora, A., 2015. "Probabilities to adopt feed in tariff conditioned to economic transition: A scenario analysis," Renewable Energy, Elsevier, vol. 83(C), pages 988-997.
    2. Lagerkvist, Carl Johan & Hess, Sebastian, 2014. "Consumer acceptance of an EU/non-EU label of origin of beef: an analysis of attribute attendance in a discrete choice experiment," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182744, European Association of Agricultural Economists.
    3. Cummins, Neil, 2017. "Lifespans of the European elite, 800–1800," LSE Research Online Documents on Economics 83576, London School of Economics and Political Science, LSE Library.

    More about this item

    Keywords

    Econometrics; Econometrics; Logits; Probits;

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