Very simple marginal effects in some discrete choice models

Kevin Denny

No 200921, Working Papers from Geary Institute, University College Dublin

Abstract: I show a simple back-of-the-envelope method for calculating marginal effects in binary choice and count data models. The approach suggested here focuses attention on marginal effects at different points in the distribution of the dependent variable rather than representative points in the joint distribution of the explanatory variables. For binary models, if the mean of the dependent variable is between 0.4 and 0.6 then dividing the logit coefficient by 4 or multiplying the probit coefficient by 0.4 should be moderately accurate.

Keywords: marginal effects; binary choice; count data (search for similar items in EconPapers)
Pages: 6 pages
Date: 2009-07-21
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