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From |
Suryadipta Roy <sroy2138@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: Interpretation of interaction term in nonlinear models |

Date |
Thu, 30 May 2013 12:10:58 -0400 |

Maarten, Thank you very much for the suggestion! I am going to follow it up carefully. Sincerely, Suryadipta. On Thu, May 30, 2013 at 11:26 AM, Maarten Buis <maartenlbuis@gmail.com> wrote: > It often helps to include the reference category for one of the > categorical variables: > > M.L. Buis (2012) "Stata tip 106: With or without reference", The Stata > Journal, 12(1), pp. 162-164. > > > Hope this helps, > Maarten > > On Thu, May 30, 2013 at 4:52 PM, Suryadipta Roy <sroy2138@gmail.com> wrote: >> Dear Maarten and fellow Statalisters, >> >> I actually had a related question as to whether there might be a >> similar (one-sentence) interpretation in case of a three-way >> interaction between the same categorical variable, the continuous >> variable with another categorical variable (0/1). Of course, I can and >> have used -margins - with -marginsplot- to show how the interaction >> effects differ in the presence of this categorical variable, but I was >> wondering if I could get some help with an easier interpretation. The >> coefficient of the three-way interaction term (standardized continuous >> by categorical by categorical) in the fixed effects Poisson regression >> with the -irr- option is 0.74 and in the probability metric form is >> -0.21. Once again, thank you very much for the help! >> >> Sincerely, >> Suryadipta. >> >> On Thu, May 30, 2013 at 7:53 AM, Suryadipta Roy <sroy2138@gmail.com> wrote: >>> Maarten, >>> This is very helpful, thank you very much! For some reason, I thought >>> that the z_phd variable in your example is a categorical variable as >>> well when I had previously read the thread. I guess that I would need >>> to standardize my continuous variable for a similar interpretation. >>> >>> Sincerely, >>> Suryadipta. >>> >>> On Thu, May 30, 2013 at 7:19 AM, Suryadipta Roy <sroy2138@gmail.com> wrote: >>>> Dear Statalisters, >>>> >>>> I am studying the effect of an interaction between a categorical >>>> variable (0/1) and a continuous variable (0-6) on the dependent >>>> variable in a nonlinear model (using -xtpoisson-). The value of the >>>> coefficient using the -irr- option is 0.90, while the size of the >>>> interaction term in the probability metric form is, of course, -0.11 >>>> (exp(-0.11) = 0.90). My basic question is, if it might be possible to >>>> have a one-sentence interpretation of the value of the coefficient in >>>> the multiplicative form (0.90), e.g. something in the lines of "the >>>> effect of the categorical variable increases by a factor of 0.9 (i.e. >>>> a 10% reduction of the dependent variable) due to an 1% increase in >>>> the continuous variable"? Any suggestion in this regard will be highly >>>> appreciated. >>>> >>>> Sincerely, >>>> Suryadipta Roy. >>>> * >>>> * 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/ >> * >> * 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/ > > > > -- > --------------------------------- > 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/ * * 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/

**References**:**st: Interpretation of interaction term in nonlinear models***From:*Suryadipta Roy <sroy2138@gmail.com>

**Re: st: Interpretation of interaction term in nonlinear models***From:*Suryadipta Roy <sroy2138@gmail.com>

**Re: st: Interpretation of interaction term in nonlinear models***From:*Suryadipta Roy <sroy2138@gmail.com>

**Re: st: Interpretation of interaction term in nonlinear models***From:*Maarten Buis <maartenlbuis@gmail.com>

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