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From |
[email protected] |

To |
[email protected] |

Subject |
Re: st: Logit transformation |

Date |
Fri, 08 Aug 2008 12:30:58 +0200 |

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" <[email protected]>:

--- [email protected] wrote:What I think you want to know is how the explanatory variablesI 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.

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/

-----------------------------------------

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**References**:**Re: st: Logit transformation***From:*Maarten buis <[email protected]>

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