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From |
Lisa Marie Yarnell <lisayarnell@yahoo.com> |

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

Subject |
st: fixed effects quantile regression |

Date |
Tue, 11 Dec 2012 17:34:28 -0800 (PST) |

Hi Stata listserv, I am running the following quantile regression model, which attempts to model the id fixed effects by incuding the term i.id. Can anyone give me a clue about why the dummies represented by the i.id were dropped for reasons of multicollinearity? Does it seem that I did not arrange my data properly, or did I specify the model incorrectly? Are there any other ideas about what's going wrong here? The output was very long, showing all of the dropped predictors, so I shortened it below by writing "(cont'd)". Thanks in advance for the help, Lisa . xi: sqreg viol span otherlang viobeh_p20_b viobeh_p50_b viobeh_p80_b viobeh_p20_g viobeh_p50_g viobeh_p80_g seven eight i.id if gender==0, quantile (.5, .8) reps (200) i.id _Iidc100001-50000055(naturally coded; _Iidc100001 omitted) note: _Iidc100004 dropped because of collinearity note: _Iidc100006 dropped because of collinearity note: _Iidc100007 dropped because of collinearity . . . (cont'd) note: _Iidc50000023 dropped because of collinearity note: _Iidc50000032 dropped because of collinearity note: _Iidc50000041 dropped because of collinearity note: _Iidc50000054 dropped because of collinearity op. sys. refuses to provide memory r(909); * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**Re: st: fixed effects quantile regression***From:*Maarten Buis <maartenlbuis@gmail.com>

**Re: st: fixed effects quantile regression***From:*"JVerkuilen (Gmail)" <jvverkuilen@gmail.com>

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