Dependent Variable: Y   
Method: Quantile Regression (tau = 0.25)   
Date: 06/18/15   Time: 11:37   
Sample: 2006 2013   
Included observations: 8   
Huber Sandwich Standard Errors & Covariance   
Sparsity method: Kernel (Epanechnikov) using residuals   
Bandwidth method: Hall-Sheather, bw=0.33644   
Estimation successfully identifies unique optimal solution   
Bandwith too large in sandwich covariance estimation   
Error in sandwich covariance estimation   
   
Variable Coefficient Std. Error t-Statistic Prob.  
   
C 117.1500 NA NA NA
Z -9.750000 NA NA NA
   
Pseudo R-squared 0.804985     Mean dependent var  64.85000
Adjusted R-squared 0.772483     S.D. dependent var  12.31596
S.E. of regression 5.716679     Objective  6.650000
Quantile dependent var 48.80000     Restr. objective  34.10000