谁知道这个事怎么回事啊,为什么 standard-error 是1呢?
the final mle estimates are :
coefficient standard-error t-ratio
beta 0 -0.70967318E+01 0.10000000E+01 -0.70967318E+01
beta 1 -0.53979675E+00 0.10000000E+01 -0.53979675E+00
beta 2 0.30251623E+01 0.10000000E+01 0.30251623E+01
beta 3 -0.38964549E-01 0.10000000E+01 -0.38964549E-01
beta 4 -0.26094683E+00 0.10000000E+01 -0.26094683E+00
beta 5 0.19718736E+00 0.10000000E+01 0.19718736E+00
delta 0 -0.12122998E-09 0.10000000E+01 -0.12122998E-09
delta 1 0.21382892E-07 0.10000000E+01 0.21382892E-07
delta 2 -0.95469004E-08 0.10000000E+01 -0.95469004E-08
delta 3 -0.30899246E-08 0.10000000E+01 -0.30899246E-08
delta 4 -0.21600508E-07 0.10000000E+01 -0.21600508E-07
sigma-squared 0.36656440E-01 0.10000000E+01 0.36656440E-01
gamma 0.50000000E-01 0.10000000E+01 0.50000000E-01
log likelihood function = 0.75091372E+02
the likelihood value is less than that obtained
using ols! - try again using different starting values
number of iterations = 1
(maximum number of iterations set at : 100)
number of cross-sections = 30
number of time periods = 10
total number of observations = 300
thus there are: 0 obsns not in the panel
covariance matrix :
0.10000000E+01 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00
0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00
0.00000000E+00 0.00000000E+00 0.00000000E+00
0.00000000E+00 0.10000000E+01 0.00000000E+00 0.00000000E+00 0.00000000E+00
0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00
0.00000000E+00 0.00000000E+00 0.00000000E+00
0.00000000E+00 0.00000000E+00 0.10000000E+01 0.00000000E+00 0.00000000E+00
0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00
0.00000000E+00 0.00000000E+00 0.00000000E+00
0.00000000E+00 0.00000000E+00 0.00000000E+00 0.10000000E+01 0.00000000E+00
0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00
0.00000000E+00 0.00000000E+00 0.00000000E+00
0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.10000000E+01
0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00
0.00000000E+00 0.00000000E+00 0.00000000E+00
0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00
0.10000000E+01 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00
0.00000000E+00 0.00000000E+00 0.00000000E+00
0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00
0.00000000E+00 0.10000000E+01 0.00000000E+00 0.00000000E+00 0.00000000E+00
0.00000000E+00 0.00000000E+00 0.00000000E+00
0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00
0.00000000E+00 0.00000000E+00 0.10000000E+01 0.00000000E+00 0.00000000E+00
0.00000000E+00 0.00000000E+00 0.00000000E+00
0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00
0.00000000E+00 0.00000000E+00 0.00000000E+00 0.10000000E+01 0.00000000E+00
0.00000000E+00 0.00000000E+00 0.00000000E+00
0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00
0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.10000000E+01
0.00000000E+00 0.00000000E+00 0.00000000E+00
0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00
0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00
0.10000000E+01 0.00000000E+00 0.00000000E+00
0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00
0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00
0.00000000E+00 0.10000000E+01 0.00000000E+00
0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00
0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00
0.00000000E+00 0.00000000E+00 0.10000000E+01