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

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: Logit transformation |

Date |
Thu, 7 Aug 2008 15:28:39 +0100 (BST) |

--- hounaz@uni-hohenheim.de wrote: > I would to ask you a technical question on the transformation of > logit coefficients into non-negative weights. > > For example, I have run a logit regression which gave the following > results: > > logodds= 0.2198*agrhh +0.7161*ea_trad_boma - 0.0673*ruralnorth > + 0.1807*ruralcentre - 0.4402*ruralsouth; > > odds= p/(1-p) is the odd ratio > p is the probability of being poor the explanatory variables are all > categorical and take the value of 0 or 1. > > Now, I want to transform all of the coefficients into non-negative > integers (based on a linear relationship as above) so that the > prediction of the logodds ranges from 0 to 100. What I think you want to know is how the explanatory variables influence the probability of being poor. The fact that the probability is a number between 0 and 1 (or 0 and 100, if you prefer to think in terms of percentages) does not mean that the effects have to be positive. I certainly does not mean that the effect has to be an integer, this is not true for the probability either. An excelent text on interpreting these kinds of models is J. Scott Long & Jeremy Freese's "Regression Models for Categorical Dependent Variables Using Stata" published by the Stata Press: http://www.stata-press.com/books/regmodcdvs.html . Anyhow, if my assumption of what you want is correct, the command you are looking for is -mfx-, see -help mfx-. 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 Z434 +31 20 5986715 http://home.fsw.vu.nl/m.buis/ ----------------------------------------- __________________________________________________________ Not happy with your email address?. Get the one you really want - millions of new email addresses available now at Yahoo! http://uk.docs.yahoo.com/ymail/new.html * * 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: Logit transformation***From:*hounaz@uni-hohenheim.de

**References**:**st: Logit transformation***From:*hounaz@uni-hohenheim.de

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