默默海马 发表于 2012-5-4 22:12
修改了下数据,用模型2做,出来结果了~但就是所有解释变量系数都为0~~用3个,4个,5个解释变量尝试做都一 ...
我忘了跟你说Frontier4.1最怕碰到数据变量间的位数差异过大,你的数据当中有一个变数高达数千亿,是造成问题的主因。以下我把它的数值除以10^12后得到的结果
the final mle estimates are :
coefficient standard-error t-ratio
beta 0 0.68098192E+00 0.11633515E+01 0.58536211E+00
beta 1 0.15278655E-01 0.21352153E-01 0.71555569E+00
beta 2 -0.11587604E-02 0.30413476E-02 -0.38100230E+00
beta 3 0.50003188E+00 0.12900734E+01 0.38759957E+00
beta 4 0.13179949E+00 0.33736858E+00 0.39066912E+00
beta 5 -0.54158646E-02 0.24130884E+00 -0.22443705E-01
beta 6 0.43486726E-01 0.26345175E+00 0.16506524E+00
beta 7 -0.95443683E-01 0.33051269E+00 -0.28877464E+00
beta 8 0.10710556E-01 0.18553143E+00 0.57729063E-01
beta 9 0.32674455E-02 0.11710953E+00 0.27900764E-01
beta10 -0.28722804E+00 0.41782132E+00 -0.68744229E+00
beta11 -0.63641984E-01 0.32216669E-01 -0.19754365E+01
beta12 0.10357796E-02 0.61224279E-01 0.16917791E-01
beta13 -0.11835901E+00 0.92412362E-01 -0.12807703E+01
beta14 -0.53238109E-01 0.66611027E-01 -0.79923868E+00
beta15 0.58391459E-01 0.38687496E-01 0.15093109E+01
beta16 0.22844064E-01 0.39889247E-01 0.57268726E+00
delta 0 -0.14122199E+00 0.10588699E+01 -0.13337049E+00
delta 1 -0.19873838E+01 0.57759001E+01 -0.34408209E+00
delta 2 -0.16220296E+01 0.88784667E+00 -0.18269253E+01
delta 3 -0.72826193E-01 0.18550753E-01 -0.39257809E+01
delta 4 -0.36320597E+01 0.74900449E+00 -0.48491829E+01
delta 5 -0.13643083E+01 0.43685219E+00 -0.31230433E+01
sigma-squared 0.10897123E+00 0.14182253E+00 0.76836337E+00
gamma 0.99946632E+00 0.60511432E-02 0.16516984E+03
log likelihood function = 0.22188913E+03