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From |
Maarten buis <maartenbuis@yahoo.co.uk> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: mfx after xtnbreg and how to compute predicted Y |

Date |
Sun, 19 Oct 2008 20:06:21 +0100 (BST) |

--- Pek-Hooi Soh <phsoh22@gmail.com> wrote: > I estimated the full model by xtnbreg and ran mfx. The marginal > effect table presents the same coefficients and standard errors as > the table for xtnbreg. Is this possible? Yes, if you type -help mfx- it tells you that: "By default, mfx calculates the marginal effects or elasticities at the means of the independent variables by using the default prediction option associated with the previous estimation command." If you type -help xtnbreg postestimation- it tells you that the linear predictor is the default for -predict- after -xtnbreg-. This means that the marginal effect -mfx- computes is just the same as the output of -xtnbreg-. If you want to interpret incidence rate ratios you don't have to use -mfx-, you can just use -xtnbreg- with the -irr- option. See: -help xtnbreg-. > If I do get the correct mfx output, how do I compute predicted Y? Do > I have compute y = exp(XB) where B stores marginal effects separately > in excel ? See -help xtnbreg postestimation- and look at the -predict- section. Hope this helps, Maarten ----------------------------------------- Maarten L. Buis Department of Social Research Methodology Vrije Universiteit Amsterdam Boelelaan 1081 1081 HV Amsterdam The Netherlands visiting address: Buitenveldertselaan 3 (Metropolitan), room N515 +31 20 5986715 http://home.fsw.vu.nl/m.buis/ ----------------------------------------- Send instant messages to your online friends http://uk.messenger.yahoo.com * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**RE: st: mfx after xtnbreg and how to compute predicted Y***From:*"Pek-Hooi Soh" <phsoh22@gmail.com>

**References**:**st: mfx after xtnbreg and how to compute predicted Y***From:*"Pek-Hooi Soh" <phsoh22@gmail.com>

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