下面程序的命令,请问高手哪里出错了?
2 1=ERROR COMPONENTS MODEL, 2=TE EFFECTS MODEL
cost-dta.txt DATA FILE NAME
cost-out.txt OUTPUT FILE NAME
2 1=PRODUCTION FUNCTION, 2=COST FUNCTION
y LOGGED DEPENDENT VARIABLE (Y/N)
39 NUMBER OF CROSS-SECTIONS
12 NUMBER OF TIME PERIODS
350 NUMBER OF OBSERVATIONS IN TOTAL
5 NUMBER OF REGRESSOR VARIABLES (Xs)
y MU (Y/N) [OR DELTA0 (Y/N) IF USING TE EFFECTS MODEL]
10 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.
下面是得出的结果
iteration = 0 func evals = 20 llf = 0.78117780E+03
0.90780808E+00-0.24391884E-01 0.21278413E+00 0.19030403E+00 0.39683649E+00
-0.32148536E-02 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 0.19666412E-02 0.90000000E+00
gradient step
pt better than entering pt cannot be found
iteration = 1 func evals = 28 llf = 0.78117780E+03
0.90780808E+00-0.24391884E-01 0.21278413E+00 0.19030403E+00 0.39683649E+00
-0.32148536E-02 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 0.19666412E-02 0.90000000E+00
the final mle estimates are :
coefficient standard-error t-ratio
beta 0 0.90780808E+00 0.10000000E+01 0.90780808E+00
beta 1 -0.24391884E-01 0.10000000E+01 -0.24391884E-01
beta 2 0.21278413E+00 0.10000000E+01 0.21278413E+00
beta 3 0.19030403E+00 0.10000000E+01 0.19030403E+00
beta 4 0.39683649E+00 0.10000000E+01 0.39683649E+00
beta 5 -0.32148536E-02 0.10000000E+01 -0.32148536E-02
delta 0 0.00000000E+00 0.10000000E+01 0.00000000E+00
delta 1 0.00000000E+00 0.10000000E+01 0.00000000E+00
delta 2 0.00000000E+00 0.10000000E+01 0.00000000E+00
delta 3 0.00000000E+00 0.10000000E+01 0.00000000E+00
delta 4 0.00000000E+00 0.10000000E+01 0.00000000E+00
delta 5 0.00000000E+00 0.10000000E+01 0.00000000E+00
delta 6 0.00000000E+00 0.10000000E+01 0.00000000E+00
delta 7 0.00000000E+00 0.10000000E+01 0.00000000E+00
delta 8 0.00000000E+00 0.10000000E+01 0.00000000E+00
delta 9 0.00000000E+00 0.10000000E+01 0.00000000E+00
delta10 0.00000000E+00 0.10000000E+01 0.00000000E+00
sigma-squared 0.19666412E-02 0.10000000E+01 0.19666412E-02
gamma 0.90000000E+00 0.10000000E+01 0.90000000E+00
log likelihood function = 0.78117780E+03
LR test of the one-sided error = 0.76807335E+02
with number of restrictions = *
[note that this statistic has a mixed chi-square distribution]
number of iterations = 1
(maximum number of iterations set at : 100)
number of cross-sections = 39
number of time periods = 12
total number of observations = 350
thus there are: 118 obsns not in the panel


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