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| From | Maarten Buis <maartenlbuis@gmail.com> |
| To | statalist@hsphsun2.harvard.edu |
| Subject | Re: st: Compute and grapth the interaction after logit |
| Date | Wed, 5 Jun 2013 15:35:01 +0200 |
On Wed, Jun 5, 2013 at 2:41 PM, Alexandre James wrote: > I just received back from a journal the reviwers comments about a paper I have subbmited. I am using a nested logit model and one of the reviewers mentioned that I need to be more parsimonious to interpret the interaction effects because it is a non-linear model. So, he asked to Compute and grapth the interaction effects. I checked the inteff commend but it does not run after nlogit. Would someone have a suggestion how I could graph it? A graph could certainly be useful, but I would not describe that as parsimonious. Especially, the graphs returned by -inteff- are really far from parsimonious as those basically show different marginal effects for each observation. So either "parsimonious" was not the right word to describe what you or the reviewer wanted to achieve or graphs are not the way to achieve that. A really parsimonious way to describe interaction effects is to stick to the odds metric, as is explained here: M.L. Buis (2010) "Stata tip 87: Interpretation of interactions in non-linear models", The Stata Journal, 10(2), pp. 305-308. Hope this helps, Maarten --------------------------------- Maarten L. Buis WZB Reichpietschufer 50 10785 Berlin Germany http://www.maartenbuis.nl --------------------------------- * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/