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From |
jverkuilen <jverkuilen@gc.cuny.edu> |

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

Subject |
RE: st: Logit transformation |

Date |
Fri, 8 Aug 2008 12:14:55 -0400 |

I just want to second the recommendation of Long & Freese book Marten mentioned. You will also benefit from Googling for UCLA's ATS pages on Stata (I am on a handheld, can't do it). Also there are course notes by German Rodriguez at Princeton and some by Rich Williams from Notre Dame you may find helpful. -----Original Message----- From: hounaz@uni-hohenheim.de To: statalist@hsphsun2.harvard.edu Sent: 8/8/2008 6:30 AM Subject: Re: st: Logit transformation Hello, Thank you for your explanation. This is what I am trying to do. I want to relate the probability of being poor to the logit coefficients in a linear function. Zitat von "Maarten buis" <maartenbuis@yahoo.co.uk>: > --- 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/ > * * 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/

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