Dependent Variable: LNY

Method: Quantile Regression (tau = 0.9)

Date: 06/24/13   Time: 09:29

Sample: 1981 2011

Included observations: 31

Huber Sandwich Standard Errors & Covariance

Sparsity method: Kernel (Epanechnikov) using residuals

Bandwidth method: Hall-Sheather, bw=0.11014

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.  

LNX1

0.756215

NA

NA

NA

LNX2

0.149467

NA

NA

NA

LNX6

-0.589655

NA

NA

NA

LNX8

-0.518195

NA

NA

NA

Pseudo R-squared

0.615232

    Mean dependent var

4.651394

Adjusted R-squared

0.572480

    S.D. dependent var

0.255578

S.E. of regression

0.133434

    Objective

0.422381

Quantile dependent var

4.951864

    Objective (const. only)

1.097753