Mathematical Problems in Engineering / 2019 / Article / Tab 4 / Research Article
Mine Performance Assessment by Means of Stochastic Frontier Analysis Table 4 Results of the Tobit regression for mine inefficiency, Stage-2.
Variable Coefficient Standard error t -value (p value)Panel A: censored Tobit model (dependent variable (inefficiency) = 1-TE) Constant -0.0198 0.0240 -0.83 (0.418) SR 0.0564 0.0081 6.95 (0.000) Sigma 0.0311 0.0047 ā Log likelihood = 44.158 Panel B: bootstrapped censored Tobit model (dependent variable (inefficiency) = 1-TE) Variable Coefficient Bootstrapped standard error t -value (p value)Constant -0.0198 0.0236 -0.84 (0.401) SR 0.0564 0.0090 6.24 (0.000) Sigma 0.0311 0.0041 ā Log likelihood = 44.158
Notes : sigma: an estimate of the standard deviation of the error. The bootstrapped Tobit regression was performed with B (number of replications) = 1000 samples.