Frontier随机前沿面板数据TE EFFECTS MODEL分析求助

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收藏 2019-04-26

我在用Frontier软件做随机前沿面板数据分析，是用超越对数形式的随机前沿模型，选择以下instruction文件中的模型2=TE EFFECTS MODEL 时没有得到结果报告，不知道错误出现在哪儿，求各位大神帮忙指点，谢谢~

我的instruction文件如下：

2             1=ERROR COMPONENTS MODEL, 2=TE EFFECTS MODEL
eg1-dta.txt             DATA FILE NAME
eg1-dtaout.txt       OUTPUT FILE NAME
1             1=PRODUCTION FUNCTION, 2=COST FUNCTION
y             LOGGED DEPENDENT VARIABLE (Y/N)
10             NUMBER OF CROSS-SECTIONS
10             NUMBER OF TIME PERIODS
100             NUMBER OF OBSERVATIONS IN TOTAL
2             NUMBER OF REGRESSOR VARIABLES (Xs)
y             MU (Y/N) [OR DELTA0 (Y/N) IF USING TE EFFECTS MODEL]
y             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.

我的eg1-dta.txt数据文件内容：

1 1 6.080116 5.232658 3.529591
2 1 6.883965 5.809793 3.745023
3 1 6.592017 5.263104 3.413785
4 1 4.297286 4.244774 2.875258
5 1 8.322134 6.982714 5.072106
6 1 5.803929 5.337009 3.350606
7 1 4.467631 4.240175 2.877512
8 1 3.998935 3.459781 1.131402
9 1 6.247365 5.597273 3.964805
10 1 6.632555 5.830709 4.382401
1 2 6.184541 5.164729 3.443618
2 2 7.153239 5.861413 3.666122
3 2 6.734164 5.400061 3.443299
4 2 4.543614 4.38015 2.953346
5 2 8.519772 7.061549 5.165643
6 2 5.879219 5.33001 3.24142
7 2 4.641116 4.29783 2.81481
8 2 3.874736 3.441379 1.047319
9 2 6.35404 5.595343 3.900153
10 2 6.737133 5.834343 4.303795
1 3 6.1813 5.156235 3.284289
2 3 7.291513 5.910769 3.64362
3 3 6.818574 5.45609 3.430109
4 3 4.495132 4.348082 2.75557
5 3 8.687779 7.185341 5.198497
6 3 5.514194 4.727565 2.802754
7 3 4.607667 4.245204 2.678278
8 3 4.000583 2.821379 0.5364934
9 3 6.420842 5.676822 3.885884
10 3 6.591166 5.763654 4.219655
1 4 6.410553 5.278727 3.328268
2 4 7.349308 5.918759 3.63178
3 4 7.13395 5.547636 3.498626
4 4 4.527101 4.22873 2.675527
5 4 8.905589 7.275948 5.345916
6 4 5.753556 4.637928 2.773214
7 4 4.757376 4.2442 2.650421
8 4 4.309993 2.966303 1.156881
9 4 6.564969 5.72841 3.845242
10 4 6.738271 5.805888 4.165269
1 5 6.657459 5.36691 3.374169
2 5 7.573017 5.997422 3.610918
3 5 7.467931 5.749011 3.769768
4 5 4.742669 4.591173 2.721295
5 5 9.258543 7.466296 5.584811
6 5 5.962628 4.60417 2.752386
7 5 4.886356 4.316288 2.506342
8 5 4.777105 2.915064 0.751416
9 5 6.741063 5.677541 3.836221
10 5 6.95092 5.866468 4.142976
1 6 6.912255 5.586012 3.466048
2 6 7.937053 6.325935 3.794815
3 6 7.728786 5.895972 4.020877
4 6 4.728538 4.382027 2.477378
5 6 9.57797 7.718383 5.96607
6 6 6.222417 4.693364 2.748552
7 6 5.072859 4.348211 2.413232
8 6 4.825429 2.906354 0.5423243
9 6 7.039283 5.820676 3.897721
10 6 7.21574 5.992664 4.222298
1 7 7.117279 5.778612 3.485845
2 7 8.183537 6.603239 3.866607
3 7 7.84003 5.96489 4.089499
4 7 4.799173 4.010601 2.188296
5 7 9.783633 7.862947 6.090201
6 7 6.371099 4.802216 2.748552
7 7 5.239257 4.458177 2.402431
8 7 4.838581 3.07639 0.5877866
9 7 7.245455 5.948975 3.940027
10 7 7.513409 6.11304 4.275137
1 8 7.459898 6.011292 3.613078
2 8 8.394804 6.741063 3.910622
3 8 8.01154 6.093457 4.23004
4 8 4.978319 4.035479 2.260721
5 8 9.996427 8.021769 6.213768
6 8 6.635763 4.888694 2.791778
7 8 5.338835 4.446057 2.310553
8 8 4.952936 3.21044 0.6830968
9 8 7.53167 6.103676 4.000034
10 8 7.783062 6.262426 4.267457
1 9 7.770919 6.184602 3.744078
2 9 8.535104 6.803216 3.942358
3 9 8.197511 6.301428 4.342636
4 9 5.219545 4.124227 2.241773
5 9 10.18551 8.168313 6.320031
6 9 6.938934 5.049856 2.961658
7 9 5.54627 4.362716 2.295561
8 9 5.106551 3.296947 0.722706
9 9 7.815405 6.277639 4.037421
10 9 8.157213 6.383844 4.336245
1 10 8.032087 6.460968 3.962146
2 10 8.542816 6.853827 4.002595
3 10 8.369665 6.479093 4.409885
4 10 5.44803 4.194643 2.24071
5 10 10.33369 8.295815 6.449364
6 10 7.221974 5.33122 3.160399
7 10 5.682593 4.396053 2.270062
8 10 4.911478 3.495901 0.737164
9 10 8.053988 6.528046 4.142817
10 10 8.489606 6.705321 4.472895