[R] Question of "Quantile Regression for Longitudinal Data".

roger koenker rkoenker at uiuc.edu
Mon Oct 27 13:46:44 CET 2008

This is really NOT an R-help question.  You just need to read the code  
more carefully
and everything will be revealed there.  This isn't  like the Pisan  

url:    www.econ.uiuc.edu/~roger            Roger Koenker
email    rkoenker at uiuc.edu            Department of Economics
vox:     217-333-4558                University of Illinois
fax:       217-244-6678                Champaign, IL 61820

On Oct 26, 2008, at 8:59 PM, Helen Chen wrote:

> Hi,
> I am trying to estimate a quantile regression using panel data. I am  
> trying
> to use the model that is described in Dr. Koenker's article. So I  
> use the
> code the that is posted in the following link:
> http://www.econ.uiuc.edu/~roger/research/panel/rq.fit.panel.R
> This code run perfectly. Then I want to know what the result means.The
> result show $ierr,$it,and $time. What these estimators means in  
> quantile
> panel data?
> And does $coef ,the coefficient estimators order by m*p + n elements?
> Here comes my questions What do these estimators' mean in quantile  
> panel
> data? And does the coefficient, $coef, estimators order by m*p + n  
> elements?
> Thanks
> I really would appreciate some suggestions.
> Best
> Helen Chen
> -- 
> View this message in context: http://www.nabble.com/Question-of-%22Quantile-Regression-for-Longitudinal-Data%22.-tp20180665p20180665.html
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