1.7. Hasil Analisis Pendugaan Fungsi Biaya Petambak Bagi Hasil
Output from the program FRONTIER Version 4.1c instruction file = terminal
data file = dta.txt Tech. Eff. Effects Frontier see BC 1993
The model is a cost function The dependent variable is logged
the ols estimates are : coefficient standard-error t-ratio
beta 0 0.10176460E+02 0.16292301E+01 0.62461771E+01 beta 1 0.11813281E+01 0.67225131E-01 0.17572716E+02
beta 2 0.18284009E+00 0.37555076E+00 0.48685853E+00 beta 3 0.12369353E-01 0.64797665E-01 0.19089196E+00
beta 4 0.16862732E-01 0.35862563E-01 0.47020433E+00 beta 5 0.40033143E-02 0.21621825E-02 0.18515155E+01
sigma-squared 0.13947859E-01 log likelihood function = 0.28395579E+02
the estimates after the grid search were : beta 0 0.10055125E+02
beta 1 0.11813281E+01 beta 2 0.18284009E+00
beta 3 0.12369353E-01 beta 4 0.16862732E-01
beta 5 0.40033143E-02 delta 0 0.00000000E+00
delta 1 0.00000000E+00 delta 2 0.00000000E+00
delta 3 0.00000000E+00 delta 4 0.00000000E+00
delta 5 0.00000000E+00 delta 6 0.00000000E+00
delta 7 0.00000000E+00 delta 8 0.00000000E+00
delta 9 0.00000000E+00 delta10 0.00000000E+00
sigma-squared 0.26278911E-01 gamma 0.88000000E+00
iteration = 0 func evals = 20 llf = 0.30978996E+02 0.10055125E+02 0.11813281E+01 0.18284009E+00 0.12369353E-01 0.16862732E-01
0.40033143E-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 0.26278911E-01 0.88000000E+00 gradient step
iteration = 5 func evals = 49 llf = 0.35548723E+02 0.10055649E+02 0.11728910E+01 0.18502307E+00 0.51250394E-02 0.17686632E-01
0.43389210E-02-0.75963956E-03 0.19736700E-02 0.13654475E-01-0.87572443E-02 0.47013735E-02-0.39673155E-02 0.57254559E-03-0.18065801E-03-0.31928551E-03
-0.69707899E-03 0.13859043E-02 0.20182857E-01 0.87985700E+00 iteration = 10 func evals = 69 llf = 0.42634881E+02
0.10059515E+02 0.11144921E+01 0.20260797E+00-0.21663051E-01 0.33980607E-01
0.16436594E-02-0.13183111E-01-0.10964689E-01 0.31998504E-01-0.47185805E-01 0.23617667E-01-0.10439438E-01 0.14615060E-02-0.35544221E-03 0.35242167E-03
-0.17068208E-01 0.14018946E-01 0.21437560E-01 0.90650520E+00 iteration = 15 func evals = 87 llf = 0.44807818E+02
0.10046946E+02 0.10731731E+01 0.18669806E+00 0.84054866E-02 0.43051574E-01 0.10154986E-02-0.15947766E+00 0.49970496E-02 0.40215911E-01-0.49732372E-01
0.69475715E-02 0.48700987E-02 0.33206951E-02-0.32732598E-03 0.42308720E-03 -0.18696741E+00 0.40601127E-01 0.19738937E-01 0.94206024E+00
iteration = 20 func evals = 105 llf = 0.53692039E+02 0.96046721E+01 0.10702019E+01 0.29399534E+00 0.31940538E-02 0.35433709E-01
0.19442055E-02-0.40477263E+00 0.26325269E-01 0.34036550E-01-0.56807964E-01 0.52474087E-02 0.14550954E-01 0.30419407E-02-0.34713134E-03 0.20815983E-03
-0.16268796E+00 0.16668805E+00 0.92087070E-02 0.91408916E+00 iteration = 25 func evals = 144 llf = 0.56496342E+02
0.96482373E+01 0.10675576E+01 0.28087614E+00 0.44325453E-02 0.40075948E-01 0.15693220E-02-0.50886482E+00 0.27247998E-01 0.43158246E-01-0.78987401E-01
0.53651713E-03 0.25047777E-01 0.23429653E-02-0.41178124E-03 0.48139883E-03 -0.20860408E+00 0.22830790E+00 0.12041373E-01 0.91183370E+00
iteration = 30 func evals = 182 llf = 0.56575876E+02 0.96530856E+01 0.10670543E+01 0.27970414E+00 0.47307063E-02 0.40055179E-01
0.15767860E-02-0.50420245E+00 0.27050368E-01 0.43067865E-01-0.78772238E-01 0.18963402E-02 0.23485873E-01 0.22733155E-02-0.41043719E-03 0.47695114E-03
-0.21019103E+00 0.23084241E+00 0.12036136E-01 0.91130539E+00 iteration = 35 func evals = 209 llf = 0.56576253E+02
0.96530434E+01 0.10670520E+01 0.27971590E+00 0.47308040E-02 0.40053030E-01 0.15770155E-02-0.50412065E+00 0.27048736E-01 0.43063672E-01-0.78757187E-01
0.19191613E-02 0.23446337E-01 0.22722586E-02-0.41043031E-03 0.47693904E-03 -0.21021883E+00 0.23089545E+00 0.12035267E-01 0.91128409E+00
iteration = 36 func evals = 216 llf = 0.56576253E+02 0.96530434E+01 0.10670520E+01 0.27971591E+00 0.47308033E-02 0.40053029E-01
0.15770157E-02-0.50412060E+00 0.27048734E-01 0.43063670E-01-0.78757178E-01 0.19191724E-02 0.23446315E-01 0.22722580E-02-0.41043031E-03 0.47693903E-03
-0.21021885E+00 0.23089546E+00 0.12035267E-01 0.91128408E+00 the final mle estimates are :
coefficient standard-error t-ratio beta 0 0.96530434E+01 0.66053890E+00 0.14613891E+02
beta 1 0.10670520E+01 0.38805223E-01 0.27497638E+02 beta 2 0.27971591E+00 0.15304092E+00 0.18277197E+01
beta 3 0.47308033E-02 0.33113566E-01 0.14286602E+00 beta 4 0.40053029E-01 0.17657081E-01 0.22683834E+01
beta 5 0.15770157E-02 0.12115750E-02 0.13016245E+01 delta 0 -0.50412060E+00 0.64148370E+00 -0.78586657E+00
delta 1 0.27048734E-01 0.27112338E-01 0.99765409E+00 delta 2 0.43063670E-01 0.11766066E-01 0.36599888E+01
delta 3 -0.78757178E-01 0.55032904E-01 -0.14310925E+01 delta 4 0.19191724E-02 0.46244413E-01 0.41500634E-01
delta 5 0.23446315E-01 0.83395588E-01 0.28114575E+00 delta 6 0.22722580E-02 0.41838024E-02 0.54310835E+00
delta 7 -0.41043031E-03 0.18302836E-03 -0.22424410E+01 delta 8 0.47693903E-03 0.49078347E-03 0.97179114E+00
delta 9 -0.21021885E+00 0.33450594E+00 -0.62844579E+00 delta10 0.23089546E+00 0.11599498E+00 0.19905643E+01
sigma-squared 0.12035267E-01 0.36811116E-02 0.32694653E+01 gamma 0.91128408E+00 0.51850407E-01 0.17575254E+02
log likelihood function = 0.56576253E+02 LR test of the one-sided error = 0.56361348E+02
with number of restrictions = [note that this statistic has a mixed chi-square distribution]
number of iterations = 36 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 : 0.43631164E+00 0.13294751E-02 -0.98979008E-01 0.55475692E-03 0.76465504E-03
-0.15056451E-04 0.50237401E-01 0.11099356E-03 0.44761745E-03 -0.47301951E-02 -0.43360587E-02 0.59315990E-02 0.50939319E-04 -0.11443972E-04 -0.14502240E-04
-0.35975093E-01 -0.97102097E-02 0.70217349E-04 0.10396208E-02 0.13294751E-02 0.15058453E-02 0.50289522E-03 -0.10524265E-02 -0.39225835E-03
0.18970246E-04 -0.77970426E-03 0.70162749E-04 0.21866969E-05 -0.30974303E-03 -0.30956390E-04 0.14310688E-03 -0.21886985E-05 0.15887617E-05 -0.27452798E-05
0.55972876E-03 0.41027528E-03 -0.43248960E-05 -0.30814261E-03 -0.98979008E-01 0.50289522E-03 0.23421523E-01 -0.90123785E-03 -0.67876257E-03
0.18600078E-04 -0.10674549E-01 -0.72095714E-06 -0.14757481E-03 0.12825670E-02 0.11872852E-02 -0.16823697E-02 -0.21850334E-04 0.28848197E-05 0.25948782E-05
0.74788238E-02 0.27067385E-02 -0.23419412E-04 -0.70986078E-03 0.55475692E-03 -0.10524265E-02 -0.90123785E-03 0.10965083E-02 0.32570265E-03
-0.14313508E-04 -0.76170989E-03 0.48056669E-04 0.66012083E-05 -0.43963042E-04 -0.26988557E-03 0.25487639E-03 0.16402334E-04 -0.73725965E-06 0.19854066E-05
0.74656554E-04 -0.26144582E-03 0.94467380E-05 0.44813898E-03 0.76465504E-03 -0.39225835E-03 -0.67876257E-03 0.32570265E-03 0.31177250E-03
-0.13692039E-04 0.10222994E-03 -0.51120878E-04 0.48699646E-04 -0.13168816E-03 -0.97475816E-04 0.20192089E-03 0.44318622E-05 -0.28072298E-06 -0.11611583E-07
0.84959682E-04 -0.44918700E-03 0.64969197E-05 0.28142141E-03 -0.15056451E-04 0.18970246E-04 0.18600078E-04 -0.14313508E-04 -0.13692039E-04
0.14679140E-05 0.89842014E-05 0.38182275E-05 -0.53767671E-05 0.75974880E-05 0.11634909E-04 -0.24039695E-04 -0.82144922E-06 0.29362333E-07 -0.82242274E-08
0.27329836E-04 0.36859665E-04 -0.12005398E-05 -0.24491185E-04 0.50237401E-01 -0.77970426E-03 -0.10674549E-01 -0.76170989E-03 0.10222994E-03
0.89842014E-05 0.41150134E+00 -0.10898072E-01 0.57191929E-03 -0.73304173E-02 0.90036513E-02 -0.17554651E-01 -0.15425568E-02 -0.83461734E-04 -0.75430699E-05
-0.18923407E+00 -0.17499754E-01 -0.79329445E-03 -0.98659952E-02 0.11099356E-03 0.70162749E-04 -0.72095714E-06 0.48056669E-04 -0.51120878E-04
0.38182275E-05 -0.10898072E-01 0.73507885E-03 -0.34838759E-05 -0.69182482E-04 -0.39651921E-03 0.33149204E-03 0.54546177E-05 0.22592746E-05 -0.41836126E-05
0.46369193E-02 0.79802391E-04 0.15935984E-04 0.13881918E-03 0.44761745E-03 0.21866969E-05 -0.14757481E-03 0.66012083E-05 0.48699646E-04
-0.53767671E-05 0.57191929E-03 -0.34838759E-05 0.13844030E-03 -0.41837332E-03 -0.39325104E-03 0.50189603E-03 0.66260602E-05 -0.42057156E-06 0.11235606E-06
-0.63449577E-03 -0.93767974E-03 0.25080128E-04 0.35143929E-03 -0.47301951E-02 -0.30974303E-03 0.12825670E-02 -0.43963042E-04 -0.13168816E-03
0.75974880E-05 -0.73304173E-02 -0.69182482E-04 -0.41837332E-03 0.30286206E-02 0.16870718E-02 -0.28413780E-02 -0.56659135E-05 0.27221470E-05 0.21089073E-05
0.20970203E-02 0.32029355E-02 -0.70728106E-04 -0.13160043E-02 -0.43360587E-02 -0.30956390E-04 0.11872852E-02 -0.26988557E-03 -0.97475816E-04
0.11634909E-04 0.90036513E-02 -0.39651921E-03 -0.39325104E-03 0.16870718E-02 0.21385457E-02 -0.28032119E-02 -0.10906152E-03 -0.49831283E-06 -0.62607971E-05
-0.27077108E-02 0.29265662E-02 -0.98095012E-04 -0.16587437E-02 0.59315990E-02 0.14310688E-03 -0.16823697E-02 0.25487639E-03 0.20192089E-03
-0.24039695E-04 -0.17554651E-01 0.33149204E-03 0.50189603E-03 -0.28413780E-02 -0.28032119E-02 0.69548240E-02 0.17644667E-03 0.67849245E-06 0.63657413E-06
0.49808342E-02 -0.33135017E-02 0.19893836E-03 0.35417613E-02
0.50939319E-04 -0.21886985E-05 -0.21850334E-04 0.16402334E-04 0.44318622E-05 -0.82144922E-06 -0.15425568E-02 0.54546177E-05 0.66260602E-05 -0.56659135E-05
-0.10906152E-03 0.17644667E-03 0.17504202E-04 0.23772675E-06 0.12102284E-05 0.49382053E-03 -0.31236252E-04 0.72635914E-05 0.11071709E-03
-0.11443972E-04 0.15887617E-05 0.28848197E-05 -0.73725965E-06 -0.28072298E-06 0.29362333E-07 -0.83461734E-04 0.22592746E-05 -0.42057156E-06 0.27221470E-05
-0.49831283E-06 0.67849245E-06 0.23772675E-06 0.33499382E-07 -0.24757445E-07 0.39940386E-04 0.48188238E-05 -0.12294197E-06 -0.63168420E-06
-0.14502240E-04 -0.27452798E-05 0.25948782E-05 0.19854066E-05 -0.11611583E-07 -0.82242274E-08 -0.75430699E-05 -0.41836126E-05 0.11235606E-06 0.21089073E-05
-0.62607971E-05 0.63657413E-06 0.12102284E-05 -0.24757445E-07 0.24086841E-06 -0.68024347E-05 -0.82404648E-07 0.46245451E-06 0.50176072E-05
-0.35975093E-01 0.55972876E-03 0.74788238E-02 0.74656554E-04 0.84959682E-04 0.27329836E-04 -0.18923407E+00 0.46369193E-02 -0.63449577E-03 0.20970203E-02
-0.27077108E-02 0.49808342E-02 0.49382053E-03 0.39940386E-04 -0.68024347E-05 0.11189422E+00 0.10640859E-01 0.89422472E-04 0.16313280E-02
-0.97102097E-02 0.41027528E-03 0.27067385E-02 -0.26144582E-03 -0.44918700E-03 0.36859665E-04 -0.17499754E-01 0.79802391E-04 -0.93767974E-03 0.32029355E-02
0.29265662E-02 -0.33135017E-02 -0.31236252E-04 0.48188238E-05 -0.82404648E-07 0.10640859E-01 0.13454835E-01 -0.66575707E-04 -0.20561240E-02
0.70217349E-04 -0.43248960E-05 -0.23419412E-04 0.94467380E-05 0.64969197E-05 -0.12005398E-05 -0.79329445E-03 0.15935984E-04 0.25080128E-04 -0.70728106E-04
-0.98095012E-04 0.19893836E-03 0.72635914E-05 -0.12294197E-06 0.46245451E-06 0.89422472E-04 -0.66575707E-04 0.13550583E-04 0.13740254E-03
0.10396208E-02 -0.30814261E-03 -0.70986078E-03 0.44813898E-03 0.28142141E-03 -0.24491185E-04 -0.98659952E-02 0.13881918E-03 0.35143929E-03 -0.13160043E-02
-0.16587437E-02 0.35417613E-02 0.11071709E-03 -0.63168420E-06 0.50176072E-05 0.16313280E-02 -0.20561240E-02 0.13740254E-03 0.26884647E-02
cost efficiency estimates : firm year eff.-est.
1 1 0.10167524E+01 2 1 0.10371365E+01
3 1 0.10196712E+01 4 1 0.10222723E+01
5 1 0.10277251E+01 6 1 0.10164430E+01
7 1 0.13965959E+01 8 1 0.10401507E+01
9 1 0.10153207E+01 10 1 0.10661235E+01
11 1 0.10331612E+01 12 1 0.10135651E+01
13 1 0.10181343E+01 14 1 0.10189255E+01
15 1 0.10113022E+01 16 1 0.10382229E+01
17 1 0.10076254E+01 18 1 0.10898128E+01
19 1 0.10234401E+01 20 1 0.10773412E+01
21 1 0.10152306E+01 22 1 0.10171576E+01
23 1 0.10170919E+01 24 1 0.10277676E+01
25 1 0.10285278E+01 26 1 0.10107115E+01
27 1 0.10160537E+01 28 1 0.17878091E+01
29 1 0.14768995E+01 30 1 0.10163868E+01
31 1 0.13881871E+01 32 1 0.10248795E+01
33 1 0.10288219E+01 34 1 0.10134387E+01
35 1 0.10398566E+01 mean efficiency = 0.10828155E+01
Kategori