The Effect Of Health Insurance On Health Care Utilization: Evidence From Malaysia
Table 2:
|
Logit |
Poisson |
Zero truncated Poisson |
|
coef. |
robust s.e |
coef. |
robust s.e |
coef. |
robust s.e |
| Age |
-0.121 |
0.016*** |
-0.105 |
0.016*** |
-0.017 |
0.032 |
| Agesq |
0.001 |
0.000*** |
0.001 |
0.000*** |
0.000 |
0.000 |
| Male |
-0.053 |
0.106 |
-0.037 |
0.118 |
-0.223 |
0.253 |
| Primary |
0.348 |
0.187 |
0.204 |
0.225 |
-0.257 |
0.323 |
| Secondary |
0.315 |
0.203 |
0.054 |
0.236 |
-0.630 |
0.359 |
| Tertiary |
0.236 |
0.253 |
0.007 |
0.276 |
-0.539 |
0.483 |
| Married |
0.547 |
0.117*** |
0.409 |
0.155*** |
-0.240 |
0.317 |
| Size |
0.057 |
0.015*** |
0.061 |
0.014*** |
0.034 |
0.022 |
| Chronic |
1.064 |
0.079*** |
1.197 |
0.087*** |
0.867 |
0.201*** |
| Smoker |
-0.097 |
0.106 |
-0.108 |
0.117 |
0.080 |
0.250 |
| Insurance |
0.253 |
0.103** |
0.151 |
0.118 |
-0.311 |
0.338 |
| Income |
-0.037 |
0.015** |
-0.035 |
0.017** |
0.001 |
0.031 |
| Malay |
0.118 |
0.085 |
0.118 |
0.112 |
-0.060 |
0.289 |
| Distance |
-0.001 |
0.001 |
-0.001 |
0.001 |
0.000 |
0.001 |
| Urban |
0.016 |
0.082 |
0.029 |
0.092 |
0.069 |
0.198 |
| Constant |
-1.468 |
0.363 |
-1.360 |
0.395 |
-0.057 |
0.835 |
| Log-likelihood |
-2918.86 |
-3811.26 |
-603.17 |
| AIC |
5869.724 |
7654.521 |
1238.343 |
| BIC |
5990.725 |
7775.523 |
1313.116 |
|
n=14,223 |
n=14,223 |
n=791 |
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