Table 3 Presents Tobit regression model result
Tobit regression | ||||
Number of obs = 16 | ||||
LR χ2(5) = 24.95 | ||||
Prob > χ2 = 0.0001 | ||||
Log likelihood = 12.59 |
Efficiency | Coef. | P | (95% conf. interval) | |
|---|---|---|---|---|
Catchment population | 7.80E−06 | 0.013 | 2.03E−06 | 1.36E−05 |
Outpatient visit | 7.04E−06 | 0.120 | − 2.17E−06 | 1.62E−05 |
Clinical staff | 0.06063 | 0.000 | 0.036432 | 0.084827 |
Nonclinical staff | − 0.02501 | 0.039 | − 0.04847 | − 0.00156 |
Age | 3.64E−05 | 0.998 | − 0.02584 | 0.025911 |
_cons | − 0.10668 | 0.762 | − 0.86388 | 0.650522 |
/sigma | 0.079686 | 0.044311 | 0.115062 | |
Obs. summary | ||||
0 | Left-censored observations | |||
8 | Uncensored observations | |||
8 | Right-censored observations | at efficiency = 1 | ||