# Re: st: Changing beta coefficients - w/ logistic regression

 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:
```
```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?
```
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:

. 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