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From |
Richard Williams <Richard.A.Williams.5@ND.edu> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: RE: st: RE: constraints insufficient for unique estimate |

Date |
Wed, 10 Aug 2005 23:23:07 -0500 |

At 11:07 PM 8/10/2005 -0500, Zeynal Karaca wrote:

Adding 2 variables together has the same effect as constraining their coefficients to be equal. I am not sure why this would solve all your problems (in fact I'd be rather surprised if it did) but if that really is all you need, then great.gen x1x2=x1 x2 and then replace x1 and x2 with the new x1x2 and the regression. Is it okey or is it meaningful to add two dummy variable of the same group? I know that it is fine if they are not dummy variables. if the asnwer to this question is pozitive, then I have already solved my problem. if not, please advise me... Thanks for everybody who spent their valuable time to help me figuring out the problem...

Incidentally, if you want to use linear constraints but the command does not support constraints, then Jeroen Weesie's -linest- command is often the next best thing. Also, something like

test x1=x2, coef

will often give you what you want.

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**References**:**Re: RE: st: RE: constraints insufficient for unique estimate***From:*"Zeynal Karaca" <zeynal@tamu.edu>

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