1.6. Hasil Analisis Pendugaan Fungsi Produksi Rata-Rata OLS Dan
Fungsi Produksi Stochastic Frontier MLE 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 production function The dependent variable is logged
the ols estimates are : coefficient standard-error t-ratio
beta 0 0.11383640E+02 0.35738979E+01 0.31852169E+01 beta 1 0.69949301E+00 0.11651509E+00 0.60034542E+01
beta 2 0.17932430E+00 0.86936128E+00 0.20627132E+00 beta 3 0.11328787E+00 0.10381036E+00 0.10912964E+01
beta 4 0.16114534E+00 0.14789256E+00 0.10896109E+01 sigma-squared 0.18296564E-01
log likelihood function = 0.20182298E+02 the estimates after the grid search were :
beta 0 0.11530453E+02 beta 1 0.69949301E+00
beta 2 0.17932430E+00 beta 3 0.11328787E+00
beta 4 0.16114534E+00 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 0.36801295E-01 gamma 0.92000000E+00
iteration = 0 func evals = 20 llf = 0.20479613E+02 0.11530453E+02 0.69949301E+00 0.17932430E+00 0.11328787E+00 0.16114534E+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
0.00000000E+00 0.36801295E-01 0.92000000E+00 gradient step
iteration = 5 func evals = 48 llf = 0.22821369E+02 0.11530867E+02 0.69875549E+00 0.18124483E+00 0.11391020E+00 0.16544402E+00
-0.36466929E-03 0.71392637E-02-0.13455565E-02 0.43547552E-02-0.16373256E-02 -0.66391887E-04 0.98657897E-03-0.12073196E-01 0.29982410E-03 0.00000000E+00
-0.18762024E-02 0.29792714E-01 0.92057171E+00 iteration = 10 func evals = 72 llf = 0.25613919E+02
0.11485667E+02 0.59928826E+00 0.40849793E-01 0.16384414E+00 0.23334954E+00
-0.38717606E-01 0.96110486E-02 0.62973770E-02 0.13549143E-01-0.12440641E+00 0.12386776E-02 0.20689129E-01-0.11624253E-01 0.39985982E-03 0.00000000E+00
-0.18785358E+00 0.31188944E-01 0.95373957E+00 pt better than entering pt cannot be found
iteration = 14 func evals = 102 llf = 0.27142276E+02 0.11424925E+02 0.57686541E+00-0.13780724E+00 0.14889180E+00 0.33977384E+00
-0.44559799E-01 0.10144156E-01 0.27563811E-02 0.11453332E-01-0.10439425E+00 -0.31686086E-01 0.21760885E-01-0.12317139E-01 0.42764223E-03 0.00000000E+00
-0.22362823E+00 0.35349276E-01 0.99999999E+00 the final mle estimates are :
coefficient standard-error t-ratio beta 0 0.11424925E+02 0.11508983E+01 0.99269625E+01
beta 1 0.57686541E+00 0.46149570E+00 0.12499909E+01 beta 2 -0.13780724E+00 0.18787088E+01 -0.73352105E-01
beta 3 0.14889180E+00 0.12468450E+00 0.11941485E+01 beta 4 0.33977384E+00 0.10942162E+01 0.31051803E+00
delta 0 -0.44559799E-01 0.98144176E+00 -0.45402387E-01 delta 1 0.10144156E-01 0.14753137E-01 0.68759319E+00
delta 2 0.27563811E-02 0.63282494E-01 0.43556770E-01 delta 3 0.11453332E-01 0.18947026E-01 0.60449234E+00
delta 4 -0.10439425E+00 0.53284272E+00 -0.19591944E+00 delta 5 -0.31686086E-01 0.97962606E+00 -0.32345083E-01
delta 6 0.21760885E-01 0.97850675E-01 0.22238871E+00 delta 7 -0.12317139E-01 0.19803976E-01 -0.62195281E+00
delta 8 0.42764223E-03 0.37241098E-03 0.11483072E+01 delta 9 0.00000000E+00 0.10000000E+01 0.00000000E+00
delta10 -0.22362823E+00 0.51548099E+00 -0.43382440E+00 sigma-squared 0.35349276E-01 0.24912462E-01 0.14189395E+01
gamma 0.99999999E+00 0.11248673E+00 0.88899373E+01 log likelihood function = 0.27142276E+02
LR test of the one-sided error = 0.13919955E+02 with number of restrictions =
[note that this statistic has a mixed chi-square distribution] number of iterations = 14
maximum number of iterations set at : 100 number of cross-sections = 30
number of time periods = 1 total number of observations = 30
thus there are: 0 obsns not in the panel covariance matrix :
0.13245670E+01 0.37625159E-01 0.91763145E+00 -0.23034381E-01 -0.66042515E+00 0.27380455E-01 -0.32842495E-02 0.18269516E-01 0.91517393E-02 -0.17673131E+00
0.26144472E+00 0.86345642E-03 0.10288940E-01 -0.18737265E-03 0.00000000E+00 0.21659590E+00 0.27362890E-02 -0.20898130E-02
0.37625159E-01 0.21297828E+00 0.68487330E-01 -0.70133746E-03 -0.18913804E-01 0.15907128E-01 -0.41235426E-02 -0.12568543E-01 -0.43137526E-03 0.66791441E-01
0.36375740E+00 -0.11782771E-01 0.37038021E-02 -0.55491460E-04 0.00000000E+00 -0.93099777E-01 -0.58590759E-02 -0.20407156E-01
0.91763145E+00 0.68487330E-01 0.35295466E+01 -0.62933863E-01 -0.20399699E+01
0.68870817E-01 -0.77948164E-02 0.62477943E-01 0.27467124E-01 -0.59943941E+00 0.82988433E+00 0.34029633E-01 0.25978177E-01 -0.53742182E-03 0.00000000E+00
0.72329716E+00 0.87179361E-02 -0.11532779E-01 -0.23034381E-01 -0.70133746E-03 -0.62933863E-01 0.15546224E-01 0.35679614E-01
0.25962044E-02 0.55796740E-03 -0.11838717E-03 -0.12308474E-03 -0.16804205E-02 -0.16536769E-01 -0.39491237E-02 -0.76698997E-03 0.17981739E-04 0.00000000E+00
-0.24677926E-02 0.39244098E-03 0.68781863E-02 -0.66042515E+00 -0.18913804E-01 -0.20399699E+01 0.35679614E-01 0.11973090E+01
-0.38802956E-01 0.41621127E-02 -0.38042497E-01 -0.16275163E-01 0.35932596E+00 -0.44733746E+00 -0.19677209E-01 -0.15059610E-01 0.31042765E-03 0.00000000E+00
-0.43479369E+00 -0.58463541E-02 0.34911191E-02 0.27380455E-01 0.15907128E-01 0.68870817E-01 0.25962044E-02 -0.38802956E-01
0.96322793E+00 -0.54496297E-02 -0.17931121E-01 -0.71683031E-02 -0.17813133E+00 0.26066527E-01 -0.48083439E-01 0.13088453E-02 -0.60833296E-04 0.00000000E+00
-0.48680235E-01 -0.58583699E-02 -0.22848243E-01 -0.32842495E-02 -0.41235426E-02 -0.77948164E-02 0.55796740E-03 0.41621127E-02
-0.54496297E-02 0.21765504E-03 0.44241150E-03 0.13547004E-04 -0.21225162E-02 -0.78921458E-02 0.64171052E-04 -0.15878043E-03 0.25952228E-05 0.00000000E+00
0.27354763E-02 0.17920220E-03 0.84706257E-03 0.18269516E-01 -0.12568543E-01 0.62477943E-01 -0.11838717E-03 -0.38042497E-01
-0.17931121E-01 0.44241150E-03 0.40046741E-02 0.79616951E-03 -0.23997148E-01 -0.71041809E-02 0.57668884E-03 0.25514754E-03 -0.60007935E-05 0.00000000E+00
0.27409388E-01 0.80345290E-03 0.23818658E-02 0.91517393E-02 -0.43137526E-03 0.27467124E-01 -0.12308474E-03 -0.16275163E-01
-0.71683031E-02 0.13547004E-04 0.79616951E-03 0.35898981E-03 -0.48473219E-02 0.44525725E-02 0.54548285E-03 0.20051523E-03 -0.33313527E-05 0.00000000E+00
0.72755988E-02 0.17126852E-03 0.39944269E-03 -0.17673131E+00 0.66791441E-01 -0.59943941E+00 -0.16804205E-02 0.35932596E+00
-0.17813133E+00 -0.21225162E-02 -0.23997148E-01 -0.48473219E-02 0.28392137E+00 -0.43769561E-01 0.12238524E-01 -0.34870268E-02 0.77172788E-04 0.00000000E+00
-0.22124933E+00 -0.50919692E-02 -0.14291410E-01 0.26144472E+00 0.36375740E+00 0.82988433E+00 -0.16536769E-01 -0.44733746E+00
0.26066527E-01 -0.78921458E-02 -0.71041809E-02 0.44525725E-02 -0.43769561E-01 0.95966723E+00 -0.14817084E-01 0.10119877E-01 -0.19412223E-03 0.00000000E+00
-0.23604983E-02 -0.84726166E-02 -0.35951881E-01 0.86345642E-03 -0.11782771E-01 0.34029633E-01 -0.39491237E-02 -0.19677209E-01
-0.48083439E-01 0.64171052E-04 0.57668884E-03 0.54548285E-03 0.12238524E-01 -0.14817084E-01 0.95747547E-02 -0.17174574E-03 -0.37665186E-05 0.00000000E+00
0.83026503E-02 0.16301192E-03 -0.12385535E-02 0.10288940E-01 0.37038021E-02 0.25978177E-01 -0.76698997E-03 -0.15059610E-01
0.13088453E-02 -0.15878043E-03 0.25514754E-03 0.20051523E-03 -0.34870268E-02 0.10119877E-01 -0.17174574E-03 0.39219748E-03 -0.55555589E-05 0.00000000E+00
0.32481602E-02 -0.22659001E-04 -0.44234237E-03 -0.18737265E-03 -0.55491460E-04 -0.53742182E-03 0.17981739E-04 0.31042765E-03
-0.60833296E-04 0.25952228E-05 -0.60007935E-05 -0.33313527E-05 0.77172788E-04 -0.19412223E-03 -0.37665186E-05 -0.55555589E-05 0.13868994E-06 0.00000000E+00
-0.89514265E-04 0.15980534E-05 0.15743101E-04 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 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.10000000E+01
0.00000000E+00 0.00000000E+00 0.00000000E+00 0.21659590E+00 -0.93099777E-01 0.72329716E+00 -0.24677926E-02 -0.43479369E+00
-0.48680235E-01 0.27354763E-02 0.27409388E-01 0.72755988E-02 -0.22124933E+00 -0.23604983E-02 0.83026503E-02 0.32481602E-02 -0.89514265E-04 0.00000000E+00
0.26572065E+00 0.54135517E-02 0.12258647E-01 0.27362890E-02 -0.58590759E-02 0.87179361E-02 0.39244098E-03 -0.58463541E-02
-0.58583699E-02 0.17920220E-03 0.80345290E-03 0.17126852E-03 -0.50919692E-02 -0.84726166E-02 0.16301192E-03 -0.22659001E-04 0.15980534E-05 0.00000000E+00
0.54135517E-02 0.62063074E-03 0.21392167E-02 -0.20898130E-02 -0.20407156E-01 -0.11532779E-01 0.68781863E-02 0.34911191E-02
-0.22848243E-01 0.84706257E-03 0.23818658E-02 0.39944269E-03 -0.14291410E-01 -0.35951881E-01 -0.12385535E-02 -0.44234237E-03 0.15743101E-04 0.00000000E+00
0.12258647E-01 0.21392167E-02 0.12653265E-01
technical efficiency estimates : firm year eff.-est.
1 1 0.81927095E+00 2 1 0.91194789E+00
3 1 0.76792128E+00 4 1 0.78796308E+00
5 1 0.99495423E+00 6 1 0.87175890E+00
7 1 0.92761025E+00 8 1 0.70876097E+00
9 1 0.77292702E+00 10 1 0.65599964E+00
11 1 0.79212105E+00 12 1 0.87053193E+00
13 1 0.63628242E+00 14 1 0.89794289E+00
15 1 0.62698180E+00 16 1 0.92130602E+00
17 1 0.99232174E+00 18 1 0.97209678E+00
19 1 0.72124124E+00 20 1 0.80948720E+00
21 1 0.91006014E+00 22 1 0.92312652E+00
23 1 0.73285489E+00 24 1 0.93805703E+00
25 1 0.88106094E+00 26 1 0.75267925E+00
27 1 0.70181566E+00 28 1 0.69135037E+00
29 1 0.88244387E+00 30 1 0.82521556E+00
mean efficiency = 0.82326972E+00
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
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