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From |
Nick Cox <njcoxstata@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: Constrained Regression |

Date |
Thu, 11 Aug 2011 16:21:49 +0100 |

Your rule still, it seems, is equivalent to using -x1- in your example. Note that observations with missing -x1- will be omitted from the regression. (Quite what you mean by "select from 0 and ." is not clear to me.) Negatively, there is no way to signal this kind of constraint to -regress-, or indeed any other kind of model, as it is not a constraint in the sense of -constraint-. Positively, it does not matter, as you can just create a variable following your own rule and use that as a predictor -- and naturally take account of what you have done in interpretation. Nick On Thu, Aug 11, 2011 at 4:09 PM, vikramfinavker <vikramfinavker@gmail.com> wrote: > can some one please advise me how can i run a regression which is > constrained to other variable. > > e.g. i am trying to run following regression. > y = ∝ + βx1+ βx2+βx3+bx5 +ui which is constrained to variable x6 > > my data for x1 and x6 are like this; > > x1 x6 > 123423 1 > 134343 1 > 234234 0 > 555454 1 > 664543 0 > 767677 0 > 0 0 > . 0 > 0 1 > . 1 > 12323 0 > > now i want to tell stata that is should use all observations of x1 where its > grater than zero (x1>0) and select observations from 0 & missing (.) if x6 > is 0. > so i want stata to select following observations > > x1 x6 > 123423 1 > 134343 1 > 234234 0 > 555454 1 > 664543 0 > 767677 0 > 0 0 > . 0 > 12323 0 > * * 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/

**References**:**st: Constrained Regression***From:*vikramfinavker <vikramfinavker@gmail.com>

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