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From |
"Pek-Hooi Soh" <phsoh22@gmail.com> |

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

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

Date |
Sun, 19 Oct 2008 11:47:21 -0700 |

Hi Nick, I was told that the coefficients of non linear models cannot be used directly for interpretation, and I should use mfx that give the marginal effects (exp(B),I think). In the table, the dydx column output is the same as the coefficients of xtnbreg, the x column is the only extra information. What is x? Cheers, Pek -----Original Message----- From: owner-statalist@hsphsun2.harvard.edu [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Nick Cox Sent: October-19-08 11:21 AM To: statalist@hsphsun2.harvard.edu Subject: st: RE: mfx after xtnbreg and how to compute predicted Y -mfx- is giving you extra information for the model you just ran. The help for -xtnbreg postestimation- indicate how to get predictions in Stata. There is no need to resort to any other software. Nick n.j.cox@durham.ac.uk Pek-Hooi Soh I have a count panel data model with interaction terms where the terms are mean centered. 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? 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 ? * * 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/ * * 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**:**st: Re: RE: RE: mfx after xtnbreg and how to compute predicted Y***From:*"Martin Weiss" <martin.weiss1@gmx.de>

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

**st: RE: mfx after xtnbreg and how to compute predicted Y***From:*"Nick Cox" <n.j.cox@durham.ac.uk>

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