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From |
kokootchke <kokootchke@hotmail.com> |

To |
statalist <statalist@hsphsun2.harvard.edu> |

Subject |
RE: st: Constrained linear regression... is not linear? |

Date |
Mon, 6 Dec 2010 20:30:57 -0500 |

Something that could perhaps help understanding what's going on (although I don't exactly see how) is that y is a discrete variable, y = {1, 2, 3, 4, 5}... Thanks... ---------------------------------------- > From: kokootchke@hotmail.com > To: statalist@hsphsun2.harvard.edu > Subject: st: Constrained linear regression... is not linear? > Date: Mon, 6 Dec 2010 20:17:11 -0500 > > Hello! > I am trying to run the following constrained linear regression: > y = ax + (1-a)z, with a in [0,1] > I am using the cnsreg command, which I've used before but now it's giving me error r(131) (not possible with test), which I never saw before. I did a search for this error and it says it happens when the regression is non-linear... but I don't understand what is non-linear about my constraints or my regression. > What I'm doing is the following: > constraint define 1 x+z = 1constraint define 2 x>=0constraint define 3 x<=1 > cnsreg y x z, c(1-3) > But this doesn't work. > If I run the regression only using constraint 1, the regression does run but it gives me a coefficient for x which is outside of [0,1]... but I don't want this. Does it mean that there's no solution with the three restrictions in place? > I'm using Stata v10. > I appreciate any suggestions. Thanks in advance.Adrian > > > * > * 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/ * * 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**:**Re: st: too many base levels specified?***From:*jpitblado@stata.com (Jeff Pitblado, StataCorp LP)

**Re: st: too many base levels specified?***From:*Traci Schlesinger <traci.schlesinger@gmail.com>

**st: Constrained linear regression... is not linear?***From:*kokootchke <kokootchke@hotmail.com>

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