Fixed effects models for poverty and length of stay
| Dependent variable: log LOS | Full sample (1) | Public insurance (2) | Private insurance (3) | Public hospital (4) | Private hospital (5) | Public insurance at public hospital (6) |
| Poverty rate | −0.0070*** | −0.0108*** | 0.0051*** | −0.0067*** | 0.0027*** | −0.0072*** |
| (0.0006) | (0.0024) | (0.0016) | (0.0014) | (0.0009) | (0.0012) | |
| Poverty rate squared | 0.0001*** | 0.0002*** | −0.0001* | 0.0001*** | −0.0000* | 0.0001*** |
| (0.0000) | (0.0000) | (0.0000) | (0.0000) | (0.0000) | (0.0000) | |
| Public insurance indicator | 0.0002 | 0.1305*** | −0.0929* | |||
| (0.0286) | (0.0126) | (0.0521) | ||||
| Public hospital indicator | 0.3776*** | 0.4759*** | 0.2009*** | |||
| (0.0840) | (0.1024) | (0.0623) | ||||
| Observations | 1 033 222 | 770 890 | 262 332 | 746 639 | 286 583 | 695 929 |
Notes: All regressions include the following controls: age, age squared, an indicator for female, an indicator for medical complexity condition, indicator for rural municipality, year and regional fixed effects. SEs are clustered at the regional level.
***p<0.01, **p<0.05, *p<0.1
log LOS, logarithm of the length of stay.