1 1 0.00 0.7646 0.491452167
2 1 0.00 0.4946 0.320884622
3 1 0.00 0.4165 0.248296933
4 1 0.00 0.4584 0.300566821
5 1 0.00 0.6359 0.364638121
6 1 0.00 0.5356 0.478837537
7 1 0.00 0.5284 0.19544893
8 1 0.00 0.6854 0.34395855
9 1 0.00 0.5094 0.429080441
10 1 0.00 0.3917 0.229709422
11 1 0.00 0.5868 0.34422904
12 1 0.00 0.5439 0.30342737
13 1 0.00 0.4893 0.391776837
14 1 25.70 0.4953 0.18827703
15 1 0.00 0.3865 0.143901611
16 1 0.00 0.534 0.213220832
17 1 0.00 0.4872 0.14407716
18 1 0.00 0.4249 0.304798903
19 1 0.00 0.4896 0.223911657
20 1 0.00 0.5033 0.392203432
21 1 0.00 0.6045 0.453470977
22 1 0.00 0.5565 0.318368451
23 1 0.00 0.4399 0.345391303
24 1 0.00 0.4016 0.226827269
25 1 0.00 0.5364 0.276173181
26 1 0.00 0.4699 0.151074077
27 1 0.00 0.5739 0.215603495
28 1 0.00 0.4789 0.31396261
29 1 0.00 0.5242 0.307705794
30 1 0.00 0.447 0.249182142
31 1 0.00 0.4179 0.30508136
32 1 0.00 0.4146 0.211550356
33 1 34.20 0.3961 0.257231185
34 1 0.00 0.4098 0.307517216
35 1 0.00 0.3939 0.271049749
INS:
1 1=ERROR COMPONENTS MODEL, 2=TE EFFECTS MODEL
2012in.dta DATA FILE NAME
2012out3.out OUTPUT FILE NAME
2 1=PRODUCTION FUNCTION, 2=COST FUNCTION
n LOGGED DEPENDENT VARIABLE (Y/N)
35 NUMBER OF CROSS-SECTIONS
1 NUMBER OF TIME PERIODS
35 NUMBER OF OBSERVATIONS IN TOTAL
2 NUMBER OF REGRESSOR VARIABLES (Xs)
y MU (Y/N) [OR DELTA0 (Y/N) IF USING TE EFFECTS MODEL]
n ETA (Y/N) [OR NUMBER OF TE EFFECTS REGRESSORS (Zs)]
n STARTING VALUES (Y/N)
IF YES THEN BETA0
BETA1 TO
BETAK
SIGMA SQUARED
GAMMA
MU [OR DELTA0
ETA DELTA1 TO
DELTAP]
NOTE: IF YOU ARE SUPPLYING STARTING VALUES
AND YOU HAVE RESTRICTED MU [OR DELTA0] TO BE
ZERO THEN YOU SHOULD NOT SUPPLY A STARTING
VALUE FOR THIS PARAMETER.
the final mle estimates are :
coefficient standard-error t-ratio
beta 0 0.38287120E+01 0.38749885E+00 0.98805764E+01
beta 1 -0.65996929E+01 0.94153407E+00 -0.70095105E+01
beta 2 -0.88967743E+01 0.10083659E+01 -0.88229622E+01
sigma-squared 0.11614404E+03 0.99928760E+00 0.11622684E+03
gamma 0.99999999E+00 0.20405933E-06 0.49005356E+07
mu -0.10465439E+01 0.92385789E+00 -0.11327974E+01
eta is restricted to be zero
log likelihood function = -0.98964292E+02
LR test of the one-sided error = 0.36445656E+02
with number of restrictions = 2
[note that this statistic has a mixed chi-square distribution]
number of iterations = 12
(maximum number of iterations set at : 100)
number of cross-sections = 35
number of time periods = 1
total number of observations = 35
thus there are: 0 obsns not in the panel
covariance matrix :
0.15015536E+00 -0.33889858E+00 -0.13623271E+00 0.15616013E-02 -0.45161449E-08
-0.82249958E-01
-0.33889858E+00 0.88648640E+00 -0.25413073E-01 -0.29537289E-02 0.47142036E-09
0.51345255E-01
-0.13623271E+00 -0.25413073E-01 0.10168018E+01 -0.44425684E-02 0.23923404E-08
0.10138432E+00
0.15616013E-02 -0.29537289E-02 -0.44425684E-02 0.99857571E+00 -0.21614062E-08
-0.46274516E-01
-0.45161449E-08 0.47142036E-09 0.23923404E-08 -0.21614062E-08 0.41640209E-13
-0.49758333E-06
-0.82249958E-01 0.51345255E-01 0.10138432E+00 -0.46274516E-01 -0.49758333E-06
0.85351340E+00
cost efficiency estimates :
firm eff.-est.
1 0.10000000E+01
2 0.10000000E+01
3 0.10000000E+01
4 0.10000000E+01
5 0.10000000E+01
6 0.10000000E+01
7 0.10000000E+01
8 0.10000000E+01
9 0.10000000E+01
10 0.10000000E+01
11 0.10000000E+01
12 0.10000000E+01
13 0.10000000E+01
14 0.10000000E+01
15 0.10000000E+01
16 0.10000000E+01
17 0.10000000E+01
18 0.10000000E+01
19 0.10000000E+01
20 0.10000000E+01
21 0.10000000E+01
22 0.10000000E+01
23 0.10000000E+01
24 0.10000000E+01
25 0.10000000E+01
26 0.10000000E+01
27 0.10000000E+01
28 0.10000000E+01
29 0.10000000E+01
30 0.10000000E+01
31 0.10000000E+01
32 0.10000000E+01
33 0.10000000E+01
34 0.10000000E+01
35 0.10000000E+01
mean efficiency = 0.10000000E+01
各位大神帮忙看下 为什么红字部分的gamma是0.9999999呀?减少解释变量之后还是这个结果,在写毕业论文 ,实在是搞不得,跪求解答,不胜感激