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Simple logit and probit marginal effects in R

Author

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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
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    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

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    Cited by:

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    7. Irfan Kanat & Yili Hong & T. S. Raghu, 2018. "Surviving in Global Online Labor Markets for IT Services: A Geo-Economic Analysis," Information Systems Research, INFORMS, vol. 29(4), pages 893-909, December.
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    9. Cummins, Neil, 2014. "Longevity and the rise of the West: lifespans of the European elite, 800-1800," Economic History Working Papers 60555, London School of Economics and Political Science, Department of Economic History.
    10. Nasir Abbas Khan & Qijie Gao & Shoukat Ali & Babar Shahbaz & Palwasha Khan & Muhammad Abid, 2022. "Analyzing ICT-enabled agricultural advisory services in Pakistan: evidence from a marginalized region of Punjab province," Electronic Commerce Research, Springer, vol. 22(4), pages 1107-1129, December.

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