Fixed effects models for poverty, LOS and hospitalisation rates
| Dependent variable | log LOS | Hospitalisation rates | ||
| Full Sample | Public insurance | Sample of diagnosis with over 1000 observations | Aggregate data | |
| Poverty rate | −0.0072*** | −0.0095*** | −0.0070*** | −1.0290*** |
| (0.0025) | (0.0034) | (0.0007) | (0.3314) | |
| Poverty rate squared | 0.0001*** | 0.0002*** | 0.0001*** | 0.0110** |
| (0.0000) | (0.0000) | (0.0000) | (0.0050) | |
| Public insurance indicator | −0.0145 | −0.0297 | −59.2958** | |
| (0.0193) | (0.0293) | (23.2166) | ||
| Public hospital indicator | 0.4011*** | 0.5139*** | 0.3825*** | 64.5762** |
| (0.0343) | (0.0458) | (0.0879) | (21.9547) | |
| Municipality fixed effects | yes | yes | ||
| Diagnosis code fixed effects | yes | |||
| Observations | 1 033 222 | 770 890 | 700 292 | 1352 |
***p<0.01, **p<0.05, *p<0.1
log LOS, logarithm of the length of stay; LOS, length of stay.