请教，frontier得不出结果，毕业论文，急，谢谢！

3685

收藏 2012-06-01

我想写的论文是中国和韩国港口效率比较，中国和韩国各五个港口，总共十个港口，数据从2006-2010共五年，但frontier导出的结果是空的，不知道什么原因，急需帮助，谢谢，我先把原始数据发上来：

firm time Y          X1          X2 X3
1 1 53748 22194 41 80
2 1 42387 52425 572 78
3 1 30281 39886 417 57
4 1 25760 22871 54 65
5 1 22415 13380 12 42
6 1 22994 26159 82 68
7 1 12957 11456 17 56
8 1 19507 17267 26 52
9 1 16572 16422 42 54
10 1 4423    3120          2 20
1 2 56144 22194 41 80
2 2 47336 56278 619 84
3 2 34325 41301 414 61
4 2 30900 25607 58 71
5 2 26507 14969 11 48
6 2 24356 26159 82 68
7 2 13814 11906 17 58
8 2 19819 17917 26 54
9 2 16865 16422 42 54
10 2 4809       4610          2 26
1 3 58170 68191 467 137
2 3 52048 59345 513 94
3 3 34700 40062 430 56
4 3 35593 26357 53 75
5 3 30029 15618 15 48
6 3 24168 27159 82 69
7 3 14181 13046 37 62
8 3 20322 17957 26 54
9 3 17031 16602 42 55
10 3 5071       6180          2    31
1 4 59205 72274 466 148
2 4 57684 64630 520 108
3 4 36395 41042 409 58
4 4 38111 26736 44 80
5 4 31546 18749 16 57
6 4 22618 29459 82 76
7 4 13240 16445 37 62
8 4 18273 17957 23 55
9 4 16938 17839 38 64
10 4 5132          7020          2 34
1 5 65339 72537 452 150
2 5 62915 71668 530 120
3 5 41095 42001 413 60
4 5 40332 30567 45 95
5 5 35012 19500 16 59
6 5 26207 29459 82 76
7 5 14978 16445 37 62
8 5 20669 17957 23 55
9 5 17166 17839 38 64
10 5 7668          7020          2    34

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luotuoren

2012-6-1 18:25:46

另外，frontier的设置，你帮我看看，导出的结果时空的，不知道原因在哪里，谢谢：

1             1=ERROR COMPONENTS MODEL, 2=TE EFFECTS MODEL
Eg1-dta.txt       DATA FILE NAME
1-out.txt       OUTPUT FILE NAME
1             1=PRODUCTION FUNCTION, 2=COST FUNCTION
y             LOGGED DEPENDENT VARIABLE (Y/N)
10       NUMBER OF CROSS-SECTIONS
5          NUMBER OF TIME PERIODS
50             NUMBER OF OBSERVATIONS IN TOTAL
3       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.

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luotuoren

2012-6-1 18:26:58

另外，对数函数以后，数据变成

1 1 10.89206174 3.713572067 3.713572067 4.382026635 37.16385937 43.85347011 16.27297171 100.1516026 13.79061749 19.20215743
2 1 10.65459699 6.349138991 6.349138991 4.356708827 68.99697503 47.34495977 27.66134989 118.0947069 40.31156593 18.9809118
3 1 10.31827573 6.033086222 6.033086222 4.043051268 63.91319216 42.83119835 24.3920769 112.2281888 36.39812936 16.34626355
4 1 10.15657818 3.988984047 3.988984047 4.17438727 40.03992604 41.90093407 16.65156422 100.7539159 15.91199372 17.42550908
5 1 10.01748566 2.48490665 2.48490665 3.737669618 23.61038112 35.51352893 9.287760089 90.27881264 6.174761058 13.97017418
6 1 10.04298859 4.406719247 4.406719247 4.219507705 44.82492158 42.9206154 18.59418582 103.4685379 19.41917452 17.80424527
7 1 9.469391462 2.833213344 2.833213344 4.025351691 26.47997373 37.62201928 11.40468012 87.35274215 8.027097853 16.20345623
8 1 9.878528654 3.258096538 3.258096538 3.951243719 31.78778974 38.55051656 12.87353348 95.1903156 10.61519305 15.61232692
9 1 9.715469803 3.737669618 3.737669618 3.988984047 36.27923108 38.71858371 14.90950448 94.21375793 13.97017418 15.91199372
10 1 8.394573478 0.693147181 0.693147181 2.995732274 5.576776833 24.10242847 2.076483379 64.73149078 0.480453014 8.974411855
1 2 10.9356751 3.713572067 3.713572067 4.382026635 37.16385937 43.85347011 16.27297171 100.1516026 13.79061749 19.20215743
2 2 10.76502638 6.428105273 6.428105273 4.430816799 70.31099456 48.46453545 28.48175683 119.6411341 41.3205374 19.6321375
3 2 10.44362923 6.025865974 6.025865974 4.110873864 64.04677213 43.69300658 24.77157494 112.9680306 36.31106073 16.89928393
4 2 10.33851146 4.060443011 4.060443011 4.262679877 41.21601822 43.26884801 17.30836871 103.0351073 16.48719744 18.17043973
5 2 10.18516413 2.397895273 2.397895273 3.871201011 23.05273373 37.21670713 9.282734604 92.42393285 5.749901739 14.98619727
6 2 10.1005335 4.406719247 4.406719247 4.219507705 44.82492158 42.9206154 18.59418582 103.4685379 19.41917452 17.80424527
7 2 9.53343785 2.833213344 2.833213344 4.060443011 26.58913423 38.10643644 11.50410132 88.07442888 8.027097853 16.48719744
8 2 9.894396353 3.258096538 3.258096538 3.988984047 31.90818559 39.06613625 12.99649511 95.91274531 10.61519305 15.91199372
9 2 9.732995747 3.737669618 3.737669618 3.988984047 36.27923108 38.71858371 14.90950448 94.21375793 13.97017418 15.91199372
10 2 8.478244441 0.693147181 0.693147181 3.258096538 5.847377926 27.48524745 2.258340429 71.16581147 0.480453014 10.61519305
1 3 10.97112504 6.146329258 6.146329258 4.919980926 68.40906179 54.75972163 30.23982271 123.8784108 37.77736334 24.20621231
2 3 10.85992165 6.240275845 6.240275845 4.543294782 68.58764031 49.93591246 28.35141269 120.8047881 38.94104262 20.64152748
3 3 10.45449497 6.063785209 6.063785209 4.025351691 64.26510855 42.661416 24.40886804 112.3214942 36.76949106 16.20345623
4 3 10.47990427 3.970291914 3.970291914 4.317488114 40.41554355 43.94982351 17.14168814 103.6219998 15.76321788 18.64070361
5 3 10.30991886 2.708050201 2.708050201 3.871201011 26.1494185 37.38101135 10.48340668 93.24180011 7.333535892 14.98619727
6 3 10.09278472 4.406719247 4.406719247 4.234106505 44.99024046 43.22795692 18.65851863 104.2331503 19.41917452 17.92765789
7 3 9.559658319 3.610917913 3.610917913 4.127134385 34.21791339 39.10970295 14.90274348 89.79906488 13.03872817 17.03323823
8 3 9.919459322 3.258096538 3.258096538 3.988984047 31.91545124 39.0750318 12.99649511 95.95642987 10.61519305 15.91199372
9 3 9.742790492 3.737669618 3.737669618 4.007333185 36.31997643 38.9403724 14.9780875 94.42550046 13.97017418 16.05871926
10 3 8.531293316 0.693147181 0.693147181 3.433987204 6.05053272 29.97552688 2.380258549 76.19672505 0.480453014 11.79226812
1 4 10.98876128 6.144185634 6.144185634 4.997212274 68.74249894 55.90990896 30.70379986 125.1762607 37.75101711 24.97213051
2 4 10.96273512 6.253828812 6.253828812 4.682131227 69.27012194 51.86131741 29.28124717 122.6873897 39.1103748 21.92235283
3 4 10.50218668 6.013715156 6.013715156 4.060443011 63.87979447 43.13145173 24.41834767 112.8343453 36.16476998 16.48719744
4 4 10.54825823 3.784189634 3.784189634 4.382026635 38.57514458 44.66935522 16.58241977 103.9128704 14.32009119 19.20215743
5 4 10.35920208 2.772588722 2.772588722 4.043051268 27.27921125 39.77915972 11.20971835 96.80386853 7.687248223 16.34626355
6 4 10.02650133 4.406719247 4.406719247 4.33073334 45.348467 44.56651467 19.08432597 105.8996332 19.41917452 18.75525126
7 4 9.490997829 3.610917913 3.610917913 4.127134385 35.05398499 40.06529926 14.90274348 94.2409296 13.03872817 17.03323823
8 4 9.81317984 3.135494216 3.135494216 4.007333185 30.71447134 39.2547751 12.56497002 95.95642987 9.831323978 16.05871926
9 4 9.737314897 3.63758616 3.63758616 4.158883083 35.60884873 40.71189852 15.12829554 95.82730796 13.23203307 17.2963085
10 4 8.543250726 0.693147181 0.693147181 3.526360525 6.138870826 31.23127721 2.444286855 78.43791989 0.480453014 12.43521855
1 5 11.08734438 6.11368218 6.11368218 5.010635294 68.42342647 56.07828892 30.63343171 125.2575524 37.3771098 25.10646605
2 5 11.04953989 6.272877007 6.272877007 4.787491743 70.12950799 53.52319838 30.03134687 124.9879196 39.34898594 22.92007719
3 5 10.62364174 6.023447593 6.023447593 4.094344562 64.12230239 43.58613502 24.6620699 113.3255782 36.28192091 16.76365739
4 5 10.60490048 3.80666249 3.80666249 4.553876892 39.31397788 47.03096633 17.33507235 106.6608972 14.49067931 20.73779474
5 5 10.46344614 2.772588722 2.772588722 4.077537444 27.38810203 40.27860701 11.30533433 97.5782375 7.687248223 16.62631161
6 5 10.17378183 4.406719247 4.406719247 4.33073334 45.348467 44.56651467 19.08432597 105.8996332 19.41917452 18.75525126
7 5 9.614337737 3.610917913 3.610917913 4.127134385 35.05398499 40.06529926 14.90274348 94.2409296 13.03872817 17.03323823
8 5 9.936390272 3.135494216 3.135494216 4.007333185 30.71447134 39.2547751 12.56497002 95.95642987 9.831323978 16.05871926
9 5 9.750685962 3.63758616 3.63758616 4.158883083 35.60884873 40.71189852 15.12829554 95.82730796 13.23203307 17.2963085
10 5 8.944811104 0.693147181 0.693147181 3.526360525 6.138870826 31.23127721 2.444286855 78.43791989 0.480453014 12.43521855

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luotuoren

2012-6-1 18:28:13

frontier，下面设置，也是得不出结果，不知道什么原因，急需帮助，谢谢：

            1=ERROR COMPONENTS MODEL, 2=TE EFFECTS MODEL
Eg1-dta.txt       DATA FILE NAME
1-out.txt       OUTPUT FILE NAME
1             1=PRODUCTION FUNCTION, 2=COST FUNCTION
y             LOGGED DEPENDENT VARIABLE (Y/N)
10       NUMBER OF CROSS-SECTIONS
5          NUMBER OF TIME PERIODS
50             NUMBER OF OBSERVATIONS IN TOTAL
9       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.

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bobojin

2012-6-1 18:54:32

好长的一个贴

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zhaomeng-101

2012-6-1 19:56:04

1             1=ERROR COMPONENTS MODEL, 2=TE EFFECTS MODEL
eg1-dta.txt       DATA FILE NAME
eg1-out.txt       OUTPUT FILE NAME1             1=PRODUCTION FUNCTION, 2=COST FUNCTION
y             LOGGED DEPENDENT VARIABLE (Y/N)
10             NUMBER OF CROSS-SECTIONS
5             NUMBER OF TIME PERIODS
50             NUMBER OF OBSERVATIONS IN TOTAL
3             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]

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luotuoren

2012-6-2 09:29:31

捣鼓出来，效率值里面有负数，怎么解释？

technical efficiency estimates :

efficiency estimates for year    1 :

   firm          eff.-est.

   1          0.98314456E+00
   2          0.89615480E+00
   3          0.47059909E+00
   4          0.48279609E+00
   5          0.47085177E+00
   6          0.10297455E+00
   7       -0.20999102E+01
   8       -0.30912386E+00
   9       -0.16335931E+01
   10          0.10000000E+01

mean eff. in year 1 =  0.36389375E-01

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pony1031

2012-6-2 09:59:56

luotuoren 发表于 2012-6-1 18:26
另外，对数函数以后，数据变成

1 1 10.89206174 3.713572067 3.713572067 4.382026635 37.16385937 43.8 ...

楼主你应该要小心数据的处理，你可以看到input 1与2是重复了，这样当然算不出结果啰

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luotuoren

2012-6-2 10:12:43

firm time Y             X1          X2 X3
1 1 53748 22194 41 80
2 1 42387 52425 572 78
3 1 30281 39886 417 57
4 1 25760 22871 54 65
5 1 22415 13380 12 42
6 1 22994 26159 82 68
7 1 12957 11456 17 56
8 1 19507 17267 26 52
9 1 16572 16422 42 54
10 1 4423          3120    2 20
1 2 56144 22194 41 80
2 2 47336 56278 619 84
3 2 34325 41301 414 61
4 2 30900 25607 58 71
5 2 26507 14969 11 48
6 2 24356 26159 82 68
7 2 13814 11906 17 58
8 2 19819 17917 26 54
9 2 16865 16422 42 54
10 2 4809    4610          2 26
1 3 58170 68191 467 137
2 3 52048 59345 513 94
3 3 34700 40062 430 56
4 3 35593 26357 53 75
5 3 30029 15618 15 48
6 3 24168 27159 82 69
7 3 14181 13046 37 62
8 3 20322 17957 26 54
9 3 17031 16602 42 55
10 3 5071          6180       2 31
1 4 59205 72274 466 148
2 4 57684 64630 520 108
3 4 36395 41042 409 58
4 4 38111 26736 44 80
5 4 31546 18749 16 57
6 4 22618 29459 82 76
7 4 13240 16445 37 62
8 4 18273 17957 23 55
9 4 16938 17839 38 64
10 4 5132          7020          2 34
1 5 65339 72537 452 150
2 5 62915 71668 530 120
3 5 41095 42001 413 60
4 5 40332 30567 45 95
5 5 35012 19500 16 59
6 5 26207 29459 82 76
7 5 14978 16445 37 62
8 5 20669 17957 23 55
9 5 17166 17839 38 64
10 5 7668          7020       2 34

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pony1031

2012-6-5 10:45:22

luotuoren 发表于 2012-6-2 10:12
firm time Y X1 X2 X3
1 1 53748 22194 41 80
2 1 42387 52425 572 78

楼主，我可以算出结果阿，之前是因为你取对数后的数据有误，才会算不出来的

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pony1031

2012-6-5 10:49:27

luotuoren 发表于 2012-6-2 09:29
捣鼓出来，效率值里面有负数，怎么解释？

technical efficiency estimates :

算出来的效率也不会出现负值
CD函数
efficiency estimates for year    1 :
   firm          eff.-est.
   1          0.83176091E+00
   2          0.94718067E+00
   3          0.88558251E+00
   4          0.56872797E+00
   5          0.59901852E+00
   6          0.43793465E+00
   7          0.23515756E+00
   8          0.39645546E+00
   9          0.31858584E+00
   10          0.12509631E+00

translog

efficiency estimates for year    1 :
   firm          eff.-est.
   1          0.96237876E+00
   2          0.94557073E+00
   3          0.76669382E+00
   4          0.56976032E+00
   5          0.78206863E+00
   6          0.44708460E+00
   7          0.35611451E+00
   8          0.47577903E+00
   9          0.42717913E+00
   10          0.67802706E+00

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