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From |
Richard Williams <[email protected]> |

To |
[email protected] |

Subject |
Re: st: Changing beta coefficients - w/ logistic regression |

Date |
Thu, 21 Jul 2005 20:12:48 -0500 |

At 05:55 PM 7/21/2005 -0400, you wrote:

Don't ask me why, but the original foo.ado works fine with ologit and gologit2 (both of which, with a dichotomous dv, produce results equivalent to logit) - but it bombs with mlogit. Apparently, some programs rate and some do not. Examples:Back in April, someone posted a question about how to change beta coefficients. The answer given (more specifically, the sample code) works perfectly for linear regression output. But I can't seem to get it to work when the estimated model is a logistic regression. Any ideas how to make the code work for LOGISTIC regression?

. sysuse auto

(1978 Automobile Data)

. quietly ologit foreign mpg weight

. matrix list e(b)

e(b)[1,3]

foreign: foreign: cut1:

mpg weight _cons

y1 -.1685869 -.0039067 -13.708367

. foo

. matrix list e(b)

e(b)[1,3]

foreign: foreign: cut1:

mpg weight _cons

y1 122 -.0039067 -13.708367

. quietly gologit2 foreign mpg weight

. matrix list e(b)

e(b)[1,3]

Domestic: Domestic: Domestic:

mpg weight _cons

y1 -.1685869 -.0039067 13.708367

. foo

. matrix list e(b)

e(b)[1,3]

Domestic: Domestic: Domestic:

mpg weight _cons

y1 122 -.0039067 13.708367

. quietly mlogit foreign mpg weight, b(0)

. matrix list e(b)

e(b)[1,3]

Foreign: Foreign: Foreign:

mpg weight _cons

y1 -.1685869 -.0039067 13.708367

. foo

last estimates not found

r(301);

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**References**:**st: Changing beta coefficients - w/ logistic regression***From:*Kirsten P Smith <[email protected]>

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