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From |
Galina Hayes <galina@uoguelph.ca> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: R: linear regression question |

Date |
Sun, 15 Mar 2009 12:10:25 -0400 (EDT) |

Thanks very much everyone, very helpful. Galina ----- Original Message ----- From: "Maarten buis" <maartenbuis@yahoo.co.uk> To: statalist@hsphsun2.harvard.edu Sent: Sunday, March 15, 2009 11:48:52 AM GMT -05:00 US/Canada Eastern Subject: Re: st: R: linear regression question --- On Sun, 15/3/09, Carlo Lazzaro wrote: > your thread seems to refer to a log-linear model, where > only the dependent variable (i.e., Y) is log-transformed. > > In a log-linear model, a unit-change in the independent > variable X (i.e., DeltaX=1)is associated with a 100*Beta% > change in Y. This is one possible way of interpreting such a model. An alternative way is discussed in: Roger Newson (2003) "Stata Tip 1: The eform() option with regress" The Stata Journal, 3(4): 445. http://www.stata-journal.com/article.html?article=st0054 Both interpretations are correct, they are just different ways of looking at the same model. Hope this helps, Maarten ----------------------------------------- Maarten L. Buis Institut fuer Soziologie Universitaet Tuebingen Wilhelmstrasse 36 72074 Tuebingen Germany http://home.fsw.vu.nl/m.buis/ ----------------------------------------- * * 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**:**Re: st: R: linear regression question***From:*dr kardos laszlo <l_kardos@chello.hu>

**References**:**Re: st: R: linear regression question***From:*Maarten buis <maartenbuis@yahoo.co.uk>

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