Table 2.
Moscow intra-city infant mortality inequality: regression analysis results
| Variables | Okrug-level indicators only | Add socio-economic covariates | Add health care system covariates on… | ||
|---|---|---|---|---|---|
| …MDs | …nurses | …hospital beds | |||
| Southern okrug | − 0.3391 | − 0.1803 | − 0.257 | − 0.2543 | − 0.1661 |
| (0.7502) | (0.7264) | − 0.7232 | − 0.7213 | − 0.7272 | |
| Southwestern okrug | − 1.8946 | − 1.9283 | − 2.0093 | − 2.0487 | − 1.9864 |
| (0.8103)** | (0.7708)** | (0.7671)** | (0.7656)*** | (0.7769)** | |
| Southeastern okrug | − 0.1605 | − 0.4031 | − 0.4044 | − 0.4245 | − 0.3979 |
| (0.8103) | (0.7806) | − 0.7767 | − 0.7719 | − 0.7813 | |
| Central okrug | − 0.3037 | 0.0001 | 0.4868 | 0.3671 | 0.1425 |
| (0.8553) | (0.9059) | − 0.9371 | − 0.9226 | − 0.9133 | |
| Northwestern okrug | − 1.2414 | − 1.5061 | − 1.6794 | − 1.8642 | − 1.7193 |
| (0.9188) | (0.8775)* | (0.9035)* | (0.8944)** | (0.8963)* | |
| Northeastern okrug | − 1.1368 | − 1.1400 | − 1.2409 | − 1.2859 | − 1.2387 |
| (0.7391) | (0.6984) | (0.6972)* | (0.6947)* | (0.7048)* | |
| Northern okrug | − 1.3878* | − 1.5770 | − 1.6524 | − 1.6439 | − 1.5872 |
| (0.7502) | (0.7151)** | (0.7115)** | (0.7082)** | (0.7203)** | |
| Zelenograd | − 0.4896 | − 1.1057 | − 1.091 | − 1.2232 | − 1.0819 |
| (1.0871) | (1.0452) | − 1.0404 | − 1.0352 | − 1.0465 | |
| Western okrug | − 0.1127 | − 0.3370 | − 0.3644 | − 0.4028 | − 0.3928 |
| (0.7923) | (0.7474) | − 0.7428 | − 0.7408 | − 0.7539 | |
| Eastern okrug(reference category) | |||||
| Share of those with at least | 3.6033 | 3.7701 | 3.6895 | 3.8842 | |
| A college degree among 15+ | (2.6294) | (2.6367) | (2.6023) | (2.6750) | |
| Main source of income is: | |||||
| Transfer income | 0.2043 | 0.1849 | 0.1914 | 0.1976 | |
| Persons per 1000 | (0.0828)** | (0.0830)** | (0.0825)** | (0.0836)** | |
| Rental property | − 0.4095 | − 0.4312 | − 0.4219 | − 0.4041 | |
| Persons per 1000 | (0.1245)*** | (0.1284)*** | (0.1235)*** | (0.1284)*** | |
| Health system variables | |||||
| Public MDs per 10k population | − 0.0060 | ||||
| (0.0032)* | |||||
| Private MDs per10k population | 0.0060 | ||||
| (0.0102) | |||||
| Public nurses per 10 k population | − 0.0032 | ||||
| (0.0017)* | |||||
| Private nurses per 10 k population | 0.0076 | ||||
| (0.0056) | |||||
| Public hospital beds per1000 | − 0.0123 | ||||
| population | (0.0122) | ||||
| Private hospital beds per1000 | 0.0577 | ||||
| population | (0.0541) | ||||
| Intercept | 3.4134 | 1.6600 | 1.9741 | 1.9414 | 1.6792 |
| (0.5305) | (1.3227) | (1.3354) | (1.3187) | (1.3304) | |
| N | 125 | 125 | 125 | 125 | 125 |
(a) All regressions are estimated as ordinary least squares based on rayon-level data. (b) Standard errors in parentheses
*Significant at 10% level
**Significant at 5% level
***Significant at 1% level