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
While this code run perfectly, it does not work for my data
providing a
warning message:
In rq.fit.sfn(D, y, rhs = a) : tiny diagonals replaced with Inf when
calling
blkfct
So I am wondering if I am doing something wrong or if it is data's
problem
(which runs perfectly at least for fixed and random effects as well
as for
quantile regression adding dummies of states and years just like fixed
effects).
Any help would be highly appreciate
Thanks
Dimitris
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The code that I use before using the link is:
data$lex2<-data$lex^2
data$lex3<-data$lex^3
data$constant<-rep(1,times=length(data$lex))
X<-cbind(data$lex, data$lex2, data$lex3, data$constant)
y<-c(data$ban)
s<-c(data$state)
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