Research Article
Stochastic Energy Performance Evaluation Using a Bayesian Approach
Table 2
Bayesian estimated parameters of the stochastic production frontier.
| Nodes | Mean | Sd | MC error | 2.5% | Median | 97.5% | Start | Sample |
| Constant | 8.40900 | 1.397000 | 0.04763 | 5.75000 | 8.38000 | 11.24000 | 15000 | 32001 | GDP | 0.00076 | 0.000100 | 1.10E − 07 | 0.00051 | 0.00063 | 0.00073 | 15000 | 32001 | RPE | −0.00231 | 0.000200 | 4.25E − 04 | −0.02690 | −0.00245 | −0.00087 | 15000 | 32001 | ASC | 0.00003 | 0.000003 | 9.91E − 10 | 0.00002 | 0.00003 | 0.00005 | 15000 | 32001 | SVAIS | 0.00340 | 0.002630 | 2.65E − 04 | −0.01274 | 0.00334 | 0.01725 | 15000 | 32001 | SVASS | 0.00160 | 0.001300 | 1.23E − 04 | −0.00699 | 0.00170 | 0.00760 | 15000 | 32001 | TIME | 0.00770 | 0.000710 | 2.19E − 06 | 0.00699 | 0.00740 | 0.00960 | 15000 | 32001 | Lambda | 1.37250 | 0.012300 | 0.0000023 | 0.98100 | 1.24100 | 1.48100 | 15000 | 32001 |
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“ ”Statistically significant parameters. |