Table 2.
Rural old-age ratio and inpatient visits to the urban hospitals.
| Column | (1) | (2) | (3) | (4) |
|---|---|---|---|---|
| VARIABLES | Whole sample | Low income | Middle income | High income |
| Rural old-age ratio | 13.8546 *** | 9.8501 ** | 9.4859 *** | 23.0236 *** |
| (lagged) | (2.9218) | (4.9354) | (3.3429) | (8.7183) |
| Rural pop size | 0.0610 ** | –0.0569 | –0.0926 *** | 0.4098 *** |
| (lagged) | (0.0270) | (0.0561) | (0.0288) | (0.0284) |
| Urban old-age ratio | –0.4892 | 1.0131 | –0.9211 | –19.3115** |
| (lagged) | (1.5256) | (1.2210) | (1.8979) | (7.5315) |
| Urban pop. size | 0.2814 *** | –0.1169 | 0.1758 *** | 0.4842 *** |
| (lagged) | (0.0391) | (0.0792) | (0.0408) | (0.0420) |
| Rural per capita income | –0.0000 | 0.0068 | 0.0259 *** | –0.0831 *** |
| (0.0050) | (0.0152) | (0.0097) | (0.0148) | |
| Urban per capita income | 0.0002 | 0.0191 *** | -0.0001 | 0.0639 *** |
| (0.0009) | (0.0052) | (0.0008) | (0.0109) | |
| Rural water | –1.0554 *** | –0.9739 ** | –3.7604 *** | –11.0880 *** |
| Improvement | (0.3889) | (0.4079) | (0.4140) | (3.0258) |
| Urban total road | 0.0187 *** | 0.0462 *** | 0.0152 *** | 0.0001 |
| Length | (0.0023) | (0.0058) | (0.0032) | (0.0028) |
| Beds per 100 | –103.5130 | 211.0686 * | 81.1574 | –365.1136 * |
| Rural persons | (70.3831) | (115.1104) | (80.0862) | (212.7333) |
| Constant | –300.7799 *** | –89.7935 | 343.6834 | 193.1557 |
| (67.3026) | (209.6316) | (217.2397) | (419.4906) | |
| Fixed Effect | YES | YES | YES | YES |
| Time Effect | YES | YES | YES | YES |
| Observations | 319 | 66 | 198 | 55 |
Note: *** p <0.01, ** p <0.05, * p <0.1; values in parentheses indicate standard errors. Model was estimated by FGLS estimation.