用超越成本对数法进行成本效率分析,两个投入变量价格P1、P2,两项产出变量Y1,Y2,但输出结果为空,不知为什么,请高手指点,以下是数据和脚本文件。不知是变量计算不对,还是数据格式不对,亦或是脚本文件的问题,困惑!请高人答疑解惑。期待ing
1 1=ERROR COMPONENTS MODEL, 2=TE EFFECTS MODEL
eg1.dta DATA FILE NAME
eg1.out OUTPUT FILE NAME
2 1=PRODUCTION FUNCTION, 2=COST FUNCTION
y LOGGED DEPENDENT VARIABLE (Y/N)
15 NUMBER OF CROSS-SECTIONS
1 NUMBER OF TIME PERIODS
15 NUMBER OF OBSERVATIONS IN TOTAL
16 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.
为清楚标识数据,这里加了一行数据说明,在分析时eg1.dta中是没有这一行的。
N year TC Y1 Y2 P1 P2 Y1*Y1 Y1*Y2 Y2*Y1 Y2*Y2 P1*P1 P1*P2 P2*P1 P2*P2 Y1*P1 Y1*P2 Y2*P1 Y2*P2
1.000000 1.000000 -2.771058 -2.988562 -3.485467 -0.157581 -0.633912 8.931501 10.416532 10.416532 12.148478 0.024832 0.099892 0.099892 0.401844 0.470940 1.894485 0.549243 2.209479
2.000000 1.000000 -2.128871 -2.465452 -2.888224 -0.098772 -0.496260 6.078453 7.120778 7.120778 8.341839 0.009756 0.049017 0.049017 0.246274 0.243518 1.223505 0.285277 1.433309
3.000000 1.000000 -2.536134 -2.760567 -3.268467 -0.345737 -0.482415 7.620727 9.022821 9.022821 10.682877 0.119534 0.166789 0.166789 0.232724 0.954430 1.331738 1.130030 1.576756
4.000000 1.000000 -2.689153 -2.814409 -3.166340 -0.216171 -0.643087 7.920900 8.911376 8.911376 10.025707 0.046730 0.139017 0.139017 0.413561 0.608395 1.809910 0.684472 2.036232
5.000000 1.000000 -1.795678 -2.087279 -2.521532 -0.334524 -0.587961 4.356734 5.263142 5.263142 6.358126 0.111906 0.196687 0.196687 0.345699 0.698244 1.227239 0.843513 1.482564
6.000000 1.000000 -2.710661 -3.002965 -3.140919 -0.022448 -0.782899 9.017797 9.432070 9.432070 9.865374 0.000504 0.017575 0.017575 0.612931 0.067410 2.351019 0.070507 2.459024
7.000000 1.000000 1.105241 0.727575 0.432383 0.145103 -1.159430 0.529366 0.314591 0.314591 0.186955 0.021055 -0.168237 -0.168237 1.344278 0.105573 -0.843573 0.062740 -0.501318
8.000000 1.000000 0.995566 0.350366 -0.067075 0.593623 -2.756633 0.122756 -0.023501 -0.023501 0.004499 0.352388 -1.636401 -1.636401 7.599028 0.207985 -0.965830 -0.039818 0.184903
9.000000 1.000000 0.683882 0.261071 -0.147345 0.489649 -0.603332 0.068158 -0.038468 -0.038468 0.021711 0.239756 -0.295421 -0.295421 0.364009 0.127833 -0.157513 -0.072148 0.088898
10.000000 1.000000 0.666686 0.181099 -0.058284 -0.025782 -0.452826 0.032797 -0.010555 -0.010555 0.003397 0.000665 0.011675 0.011675 0.205051 -0.004669 -0.082006 0.001503 0.026392
11.000000 1.000000 -0.760586 -1.488756 -1.532142 0.269130 -0.662549 2.216396 2.280986 2.280986 2.347458 0.072431 -0.178312 -0.178312 0.438972 -0.400669 0.986374 -0.412345 1.015119
12.000000 1.000000 -1.750514 -1.923812 -2.383110 -0.232543 -0.744289 3.701054 4.584656 4.584656 5.679212 0.054076 0.173079 0.173079 0.553967 0.447368 1.431873 0.554175 1.773723
13.000000 1.000000 -1.881518 -2.152438 -2.483124 -0.183777 -0.685354 4.632989 5.344771 5.344771 6.165906 0.033774 0.125953 0.125953 0.469711 0.395569 1.475183 0.456342 1.701820
14.000000 1.000000 -4.539474 -4.915039 -5.307069 -0.449289 -0.535258 24.157607 26.084448 26.084448 28.164977 0.201861 0.240486 0.240486 0.286501 2.208275 2.630814 2.384410 2.840651
15.000000 1.000000 -4.895331 -5.120577 -5.793774 -0.118178 -1.089623 26.220304 29.667465 29.667465 33.567821 0.013966 0.128770 0.128770 1.187279 0.605140 5.579499 0.684697 6.313031