Table 6: Results of stochastic frontier with conditional mean model.

VariablesCoefficientsStandards errors

Lrevenu
cons0.56390180.07892050.000***
lcapital0.02587560.01932210.181
lacreage0.32102060.05882390.000***
llabour0.55770220.03004580.000***
linterm_input0.0867108 0.0498740.082*
0,5 * lcapital2−0.02527120.01444830.080*
0,5 * lacreage20.15914460.09462850.093*
0,5 * llabour2−0.06457130.02625470.014
0,5 * linterm_input2−0.15686890.08109970.053*
Lcapital lacreage−0.04812950.03541440.174
Lcapital llabour0.0495199 0.01602440.002**
Lcapital linterm_input−0.02410440.02656360.364
Lacreage linterm_input0.06045580.0803680.452
Lacreage llabour0(omitted)
linterm_input × llabour0.035108 0.03339550.293

Mu
Credit−0.0000135 0.033**
Credit2..
Credit * lcapital0.769
Credit * lacreage0.410
Credit * linterm_input0.094*
Credit * llabour0.055*
sigma_0.13777950.0323337
sigma_0.56793960.1314753
sigma20.70571910.1101696
Gamma0.80476720.0680913

Log likelihood = −315.32666 Wald chi2(13) = 1266.53 Prob > chi2 = 0.0000

Note: *,**, ***significant at 10%, 5%, and 1%, respectively
Source: authors’ calculations.