Quantile Regression for Longitudinal Data
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How to interprete the results of panel data models of R? I estimate a adapted
form of Koenker's (2004) suggestion for a quantile regression approach with
panel data, for my data:
rq.fit.panel <- function(X,Y,s,w,taus,lambda)
{
require(SparseM)
require(quantreg)
K <- length(w)
if(K !=
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