横截面29 时间4 研究技术效率变化和技术进步率 结果如下,T值大多不显著 ,求大神指导问题可能错在哪里 ,自己检查N遍,难道不能用该方法?
the final mle estimates are :
coefficient standard-error t-ratio
beta 0 0.41865446E+01 0.16879249E+01 0.24802908E+01
beta 1 0.74479727E+00 0.51306980E+00 0.14516490E+01
beta 2 -0.30374393E+00 0.28161676E+00 -0.10785719E+01
beta 3 0.64892780E+00 0.35645346E+00 0.18205120E+01
beta 4 -0.31699880E+00 0.16664997E+00 -0.19021833E+01
beta 5 -0.11962213E-01 0.62702255E-01 -0.19077803E+00
beta 6 0.10866101E-01 0.25656407E-01 0.42352388E+00
beta 7 0.65161692E-02 0.73555852E-01 0.88588046E-01
beta 8 0.45348710E-01 0.46154919E-01 0.98253254E+00
beta 9 -0.25013554E-01 0.11822870E+00 -0.21156923E+00
beta10 -0.34279315E-01 0.74614718E-01 -0.45941761E+00
beta11 0.68140259E-02 0.40009713E-01 0.17030929E+00
beta12 -0.48242741E-02 0.18136626E-01 -0.26599622E+00
beta13 0.21889166E-01 0.32836427E-01 0.66661232E+00
beta14 -0.57542203E-03 0.16332718E-01 -0.35231247E-01
sigma-squared 0.10897801E+00 0.57695750E-01 0.18888395E+01
gamma 0.80709158E+00 0.10701250E+00 0.75420310E+01
mu 0.33184327E+00 0.16661888E+00 0.19916307E+01
eta 0.16296648E+00 0.55858056E-01 0.29175108E+01
log likelihood function = 0.16746105E+02
LR test of the one-sided error = 0.78095983E+02
with number of restrictions = 3
[note that this statistic has a mixed chi-square distribution]