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From |
Maarten Buis <maartenlbuis@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: fixed effects quantile regression |

Date |
Wed, 12 Dec 2012 09:40:53 +0100 |

On Wed, Dec 12, 2012 at 2:34 AM, Lisa Marie Yarnell wrote: > 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 One problem is that -sqreg- uses the bootstrap to calculate standard errors, and in this case you'll probably want to draw individuals rather than observations. The dropped variables are probably the result of the bootstrap drawing "by accident" no observations for those individuals. In terms of the Stata command -bootstrap- this would mean that you'd probably have to specify the -cluster- and -idcluster()- options and change your estimation command accordingly. However, -sqreg- does not allow these options. So unfortunately the answer is that this model is not implemented in Stata unless you program it yourself. Hope this helps, Maarten --------------------------------- Maarten L. Buis WZB Reichpietschufer 50 10785 Berlin Germany http://www.maartenbuis.nl --------------------------------- * * 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:*Lisa Marie Yarnell <lisayarnell@yahoo.com>

**References**:**st: fixed effects quantile regression***From:*Lisa Marie Yarnell <lisayarnell@yahoo.com>

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