Average Monotonicity Tests (Felonies)
| Male | Female | Black | White | Hispanic | |
|---|---|---|---|---|---|
| (1) | (2) | (3) | (4) | (5) | |
| Panel A: Transition Age | |||||
| Z: Clinician’s leave-out mean mental health score | 0.797*** | 1.078*** | 0.884*** | 0.848*** | 0.672*** |
| (0.040) | (0.129) | (0.107) | (0.045) | (0.054) | |
| Observations | 7,449 | 1,776 | 2,995 | 6,145 | 3,328 |
| Time fixed effects | Yes | Yes | Yes | Yes | Yes |
| Controls | Yes | Yes | Yes | Yes | Yes |
| Panel B: Adults | |||||
| Z: Clinician’s leave-out mean mental health score | 0.931*** | 0.977*** | 0.913*** | 0.956*** | 0.752*** |
| (0.039) | (0.106) | (0.088) | (0.047) | (0.052) | |
| Observations | 21,508 | 6,005 | 7,873 | 19,409 | 7,642 |
| Time fixed effects | Yes | Yes | Yes | Yes | Yes |
| Controls | Yes | Yes | Yes | Yes | Yes |
Notes: This table presents a test for satisfying average monotonicity as proposed in Frandsen, Lefgren, and Leslie (2020), where they show that average monotonicity can suffice in lieu of strict monotonicity if the average treatment propensities move in the same direction as their potential treatment decisions. In the context of our paper, we can relax strict monotonicity for any given clinician if the individual monotonically complies with enough other judges. Thus, the coefficients should all be significant and the same direction to support average monotonicity.