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


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