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From |
Florian Köhler <florian.koehler@tu-berlin.de> |

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

Subject |
st: Interpretation of Log Transformed Independent Variables in Ordered Logit |

Date |
Tue, 2 Dec 2008 18:29:23 +0100 |

Hey Statalisters, Using the command ologit I ran some Ordered Logit regressions with one of the covariates (number of a firm´s employees) in a log transformed form (since theory suggest a declining marginal effect) My question concerns the interpretation of the marginal effects of the log-transformed variable "number of employees" (mfx are computed with respect to the outcome variable =3) . I would think the following interpretation is right: - A marginal increase in the log-transformed number of employees changes the probability of my outcome variable being 3 by XXX percentage points. But: By log-transforming my continous variable "employees" I could (or have to) interpret the changes in terms of percent changes, something like - A one percent increase in the number of employees (the actual number, not the log-transformed)changes the probability of my outcome variable being 3 by XXX percentage points. Any hints on which version is right? Both, none? Thanks Florian * * 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: Interpretation of Log Transformed Independent Variables in Ordered Logit***From:*"Newson, Roger B" <r.newson@imperial.ac.uk>

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