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From |
"Maarten Buis" <M.Buis@fsw.vu.nl> |

To |
<statalist@hsphsun2.harvard.edu> |

Subject |
RE: st: RE: interpret the marginal effect of interaction term in logit model |

Date |
Thu, 21 Apr 2005 21:51:23 +0200 |

Dear Ying, When I use interactionterms within logistic regresion, I use the standard way of dealing with interactionterms on the output of -logit- itself before any other computation, like computing odds ratio's or marginal effects. This is what I meant with "raw" output. Since I often use many and/or complicated interactionterms I often do the computations by 'hand', well write code like those in the threads I refered to earlier, and not use -mfx- or the like. Maarten -----Original Message----- From: owner-statalist@hsphsun2.harvard.edu on behalf of wying1@umbc.edu Sent: Thu 4/21/2005 8:03 PM To: statalist@hsphsun2.harvard.edu Cc: Subject: Re: st: RE: interpret the marginal effect of interaction term in logit model Dear Maarten, I am looking into the threads you provided. Just want to clear things a little bit. When you say "yes" when B1 and B3 are "raw" output, what do you mean "raw"? Is "mfx compute" relevant or not? Ying > Dear Ying, > > The answer is yes if B1 and B3 are 'raw' output from your logit model, > otherwise the answer is no. > > Have a look at: > http://www.stata.com/statalist/archive/2005-03/msg00643.html . Also, a > similar question (about getting marginal effects for a quadratic term > instead of an interaction term) was asked last year and got some useful > answers (if I say so myself). The thread started with: > http://www.stata.com/statalist/archive/2004-11/msg00254.html > > Hope this helps, > Maarten > > -----Original Message----- > From: owner-statalist@hsphsun2.harvard.edu > [mailto:owner-statalist@hsphsun2.harvard.edu]On Behalf Of wying1@umbc.edu > Sent: donderdag 21 april 2005 7:36 > To: statalist@hsphsun2.harvard.edu > Subject: st: interpret the marginal effect of interaction term in logit > model > > Dear listusers, > > I have a quick question about the marginal effect of logit model. > > Suppose I put black, female, and the interaction term of black and female > (blackfem) in the logit model, and use "mfx compute" to obtain the > marginal effects. My dependent variable is a dichotomous variable: > person's working status. My model is: > > working status (Y) = B0 + black*B1 + female*B2 + blackfem*B3 + ... + > error term. > > Regardless of the significance value, can I simply interpret B1-B3 as > what we do for OLS? If not, how did you interpret them in English? > > > Thanks in advance, > Ying > > > > * > * For searches and help try: > * http://www.stata.com/support/faqs/res/findit.html > * http://www.stata.com/support/statalist/faq > * http://www.ats.ucla.edu/stat/stata/ > > * > * For searches and help try: > * http://www.stata.com/support/faqs/res/findit.html > * http://www.stata.com/support/statalist/faq > * http://www.ats.ucla.edu/stat/stata/ > Ying Wang Ph.D. Candidate Department of Public Policy University of Maryland, Baltimore County 1000 Hilltop Circle, Baltimore, MD 21228 Tel(O): 410-455-6531 Tel(H): 410-747-6980 Fax: 410-455-1172 Email: wying1@umbc.edu * * For searches and help try: * http://www.stata.com/support/faqs/res/findit.html * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

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**Follow-Ups**:**Re: st: RE: interpret the marginal effect of interaction term in logit model***From:*France Priez <france.priez@gmail.com>

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