Table 7.
Falsification tests with Low Income Subsidy (LIS) beneficiaries: marginal effect for a $100 increase in copayment in initial coverage in Part D
| Any Part D specialty cancer drug | Part D specialty anti-neoplastics | |
|---|---|---|
| All study LIS population (N=91,635) | ||
|
| ||
| Specialty drug use | ||
| Ordinary least squares (OLS) | −0.051(0.025)** | −0.034(0.016)* |
| IV estimate:2-state least square (2SLS) | −0.032(0.056) | −0.028(0.029) |
| Spending among users | N=3,127 | N=2,167 |
| OLS | 139.222(292.47) | 378.14(284.68) |
| 2SLS | −264.57(465.25) | 40.96(431.98) |
|
| ||
| LIS patients with leukemia (N= 2,575) | ||
|
| ||
| Specialty drug use | ||
| OLS | −0.140(0.201) | 0.174(0.202) |
| 2SLS | −0.516(0.411) | −0.360(0.433) |
| Spending among users | N=387 | N=359 |
| OLS | 704.78(619.41) | 575.09(570.32) |
| 2SLS | 594.17(878.41) | 594.17(878.41) |
OLS: Ordinary Least Squares; Standard errors (clustered within a plan) are in parentheses;
p < 0.10,
p < 0.05,
p < 0.01