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

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: peer variable coefficient estimate nonsense |

Date |
Thu, 1 Mar 2012 08:32:01 +0000 |

What is your story then explaining the _negative_ correlation? Have you plotted the data in various ways to explore what is going on? See also David Hoaglin's wise words at http://www.stata.com/statalist/archive/2012-02/msg01269.html Nick On Thu, Mar 1, 2012 at 8:01 AM, Jian Zhang <jian32@gmail.com> wrote: > Nick, thanks for your comment. the correlation between age and peer > average age is quite high, about -0.7 > > > On Thu, Mar 1, 2012 at 3:56 PM, Nick Cox <njcoxstata@gmail.com> wrote: >> You need to think very carefully how to parameterise this. You don't >> give any comment on how far these age variables are correlated. You >> might be better off with a different representation, e.g. predictors >> of >> >> age, (peer average - age) >> >> Nick >> >> On Thu, Mar 1, 2012 at 7:45 AM, Jian Zhang <jian32@gmail.com> wrote: >> >>> I was running a OLS regression of student scores on her/her own age >>> and his/her peers' average age. The results show that the coefficient >>> estimate of the peer average age is much much larger than own age >>> estimate. This does not not seem to be plausible as one would believe >>> that own age would matter much more than peer average age to own >>> scores. any thoughts/comments? looks like whenever adding peer >>> characteristics, the regression results does not make sense! * * 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: peer variable coefficient estimate nonsense***From:*Jian Zhang <jian32@gmail.com>

**Re: st: peer variable coefficient estimate nonsense***From:*Nick Cox <njcoxstata@gmail.com>

**Re: st: peer variable coefficient estimate nonsense***From:*Jian Zhang <jian32@gmail.com>

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