Table 4 Tobit regression and Two- part model analysis (N = 91)
From: Determinants of Technical Efficiency in Public Hospitals: The Case of Saudi Arabia
Explanatory variable | Tobit model | Two-part model | |
|---|---|---|---|
Coefficient (SE) | 1st part | 2nd part | |
Coefficient (SE) | Coefficient (SE) | ||
Population (n) | −0.548***(0.179) | −12.568*(7.199) | − 0.343 (0.259) |
Female (%) | 0.030 (0.020) | −0.296 (0.270) | 0.016 (0.024) |
Non-Saudi (%) | 0.029 (0.021) | 0.255 (0.295) | 0.029 (0.023) |
Children (0–5 years)(%) | −0.058**(0.029) | −0.100 (0.264) | 0.041 (0.042) |
Adults (15–45 years)(%) | 0.034***(0.013) | 0.145 (0.146) | 0.039***(0.014) |
Elderly (> 65 years) (%) | 0.040**(0.018) | 0.213 (0.210) | 0.069***(0.021) |
Infectious disease (%) | −0.041***(0.015) | ||
Anti-microbial pres. (n) | 0.109 (0.075) | 0.472 (0.528) | 0.020 (0.062) |
Chronic dis. Pres. (n) | −0.222**(0.100) | −0.743 (0.751) | −0.298***(0.109) |
Financial hardship (n) | −0.506**(0.197) | −19.054*(11.473) | −0.487**(0.235) |
Social support (n) | 0.489**(0.193) | 10.443* (6.305) | 0.495**(0.231) |
Region Category | |||
Central | 0.183 (0.506) | 16.495 (2621.05) | 0.240 (0.567) |
North | 0.137 (0.545) | 9.223 (2621.03) | 0.566 (0.615) |
South | 0.370 (0.496) | 11.972 (2621.04) | 0.237 (0.564) |
West | −0.007 (0.508) | 4.765 (2621.02) | −0.023 (0.574) |
_Constant | 4.165**(2.040) | 40.710 (2621.12) | 4.325*(2.603) |
var (CRS) | 0.970 (0.166) | ||
LR chi2(15) | 63.89 | 85.22 | 2.17 |
Prob> chi2 | 0.00*** | 0.00*** | 0.021** |
Pseudo R2 | 0.238 | 0.846 | 0.193 |
Log-likelihood function | −102.285 | −7.719 | −94.416 |